Exposure assessment of nanomaterials in consumer products Appendix report to environmental project No. 1636, 2015
Exposure assessment of nanomaterials in consumer products
Appendix report to environmental project No. 1636, 2015
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Title:
Exposure assessment of nanomaterials in
consumer products
Editing:
Poul Bo Larsen, DHI
Frans Christensen, COWI
Keld Alstrup Jensen, NFA
Anna Brinch, COWI
Sonja Hagen Mikkelsen, COWI
Anne Juliane Clausen; COWI
Frank Leck, Flotel, DHI
Antti Joonas Koivisto, NFA
Asger W. Nørgaard, NFA
Published by:
The Danish Environmental Protection Agency
Strandgade 29
1401 Copenhagen K
Denmark
www.mst.dk/english
Year:
2015
Disclaimer:
When the occasion arises, the Danish Environmental Protection Agency will publish reports and papers concerning
research and development projects within the environmental sector, financed by study grants provided by the Danish
Environmental Protection Agency. It should be noted that such publications do not necessarily reflect the position or
opinion of the Danish Environmental Protection Agency.
However, publication does indicate that, in the opinion of the Danish Environmental Protection Agency, the content
represents an important contribution to the debate surrounding Danish environmental policy.
Sources must be acknowledged.
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Contents
Appendix 1 - Databases/inventories and reports relevant for consumer 1.
exposure to nanomaterials .................................................................................... 5
Appendix 2 - Selection of consumer exposure scenarios and important 2.
parameters for assessing exposure ........................................................................ 8
Appendix 3 - Identification of relevant existing 3.
databases/surveys/inventories on marketed nanomaterials ............................... 15
Appendix 4 - Tables with examples of nanoproducts ........................................... 27 4.
4.1 Food and beverages ............................................................................................................. 28 4.2 Cosmetics ............................................................................................................................. 33 4.3 Cleaning agents .................................................................................................................... 44 4.4 Coating, impregnation ......................................................................................................... 49 4.5 Maintenance products .......................................................................................................... 57 4.6 Textiles ................................................................................................................................. 66 4.7 Construction materials ......................................................................................................... 71 4.8 Medical devices ..................................................................................................................... 77 4.9 Air-cleaner sprays ................................................................................................................. 81 4.10 Fuel and lubrication oil additive ......................................................................................... 85 4.11 Electronic devices ................................................................................................................ 89 4.12 Appliances ............................................................................................................................ 94
Appendix 5 - Model reviews – Templates with assessment for each model 5.
against the model assessment criteria ................................................................. 99 5.1 NanoRiskCat ........................................................................................................................ 100 5.2 NanoSafer............................................................................................................................. 116 5.3 Stoffenmanager Nano version 1.0 ........................................................................................ 134 5.4 Stoffenmanager 5.1 .............................................................................................................. 149 5.5 The ANSES tool .................................................................................................................... 169 5.6 Swiss Precautionary Matrix ................................................................................................. 183 5.7 ECETOC TRA ........................................................................................................................ 193 5.8 ConsExpo .............................................................................................................................210 5.9 DREAM ................................................................................................................................ 232 5.10 Margin of Exposure ............................................................................................................. 247
Appendix 6 - Review of methodologies for assessment of chemical 6.
exposure from consumer products ..................................................................... 271 6.1 RIVM (2009) and key parameters for evaluating consumer exposure to
nanomaterials ..................................................................................................................... 271 6.2 REACH guidances on exposure assessment from chemical products and articles ......... 272
REACH guidance Chapter R.15: Consumer exposure estimation ......................273 6.2.1
REACH guidance Chapter R.14: Occupational exposure estimation ................ 278 6.2.2
REACH guidance Appendix R14-4: Recommendations for nanomaterials ..... 278 6.2.3
REACH Guidance on information requirements and chemical safety 6.2.4
assessment, Chapter D ........................................................................................ 279 REACH Guidance on requirements for substances in articles .......................... 280 6.2.5
6.3 SCCS guidance on nanomaterials in cosmetics ................................................................. 281
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6.4 EFSA guidance on nanomaterials in food ......................................................................... 282 6.5 Environmental Defense – DuPont approach .................................................................... 283 6.6 ECETOC TRA ..................................................................................................................... 284 6.7 ConsExpo ........................................................................................................................... 286 6.8 NanoSafer ........................................................................................................................... 289 6.9 NanoRiskCat ....................................................................................................................... 291 6.10 Stoffenmanager .................................................................................................................. 292 6.11 Stoffenmanager Nano ........................................................................................................ 295 6.12 ANSES ................................................................................................................................ 297 6.13 Swiss Precautionary matrix ............................................................................................... 298 6.14 Dream ................................................................................................................................. 299 6.15 Margin of exposure concept .............................................................................................. 300
Appendix 7 - Working table for overview of the various exposure scenarios 7.
to consider and from which to prioritise sceanrios for further in-depth
evaluation .......................................................................................................... 302
Appendix 8 - Exposure estimations of 20 selected examples of 8.
representative .................................................................................................... 328 8.1 Scenario 1 - Product: Chewing gum with TiO2 food additive (E171) ................................ 329 8.2 Scenario 2 - Product: Nano-Silica in food items .............................................................. 335 8.3 Scenario 3 - Product: Nano-Ag food supplement ............................................................. 340 8.4 Scenario 4 - Product: Food contact material containing Silica ........................................ 344 8.5 Scenario 5 - Product: Sun screen lotion ............................................................................ 348 8.6 Scenario 6 - Product: Sun screen containing nano-ZnO (pump spray) .......................... 356 8.7 Scenario 7 - Product: Mascara with Carbon Black ........................................................... 364 8.8 Scenario 8 - Product: Lipstick sun screen containing nano-TiO2 .................................... 369 8.9 Scenario 9 - Product: Face powder containing nano-silica ............................................... 375 8.10 Scenario 10a - Product: Paint containing nano-TiO2 ....................................................... 383 8.11 Scenario 10b - Product: Primer Paint containing nano-TiO2 .......................................... 389 8.12 Scenario 11 - Product: Paint with Nano-Ag....................................................................... 399 8.13 Scenario 12 - Product: Surface impregnation product with silica (silane/siloxane
technology?) ........................................................................................................................ 411 8.14 Scenario 13 - Product: Air conditioner and air purifier device containing nano-
silver ................................................................................................................................... 422 8.15 Scenario 14 - Product: Disinfectant pump spray containing nano-Ag ............................ 426 8.16 Scenario 15 - Product: Disinfectant multipurpose sanitizer with Nano-Ag
(Propellant spray) .............................................................................................................. 437 8.17 Scenario 16 – Product: T-shirt containing nano-Ag ......................................................... 445 8.18 Scenario 17 - Product: Cement containing nano-TiO2 ..................................................... 452 8.19 Scenario 18 - Product: Wound dressing containing nano-Ag .......................................... 460 8.20 Scenario 19 - Product: Nanocomposite product for dental replacement and
restoration containing nano-Zirconia and nano-silica..................................................... 465 8.21 Scenario 20 - Product: Golf club with CNT re-enforced shaft ......................................... 473
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Appendix 1 - 1.Databases/inventories and reports relevant for consumer exposure to nanomaterials
(*: INVENTORIES/ DATABASES)
*ANEC (European Association for the Co-ordination of Consumer
Representation in Standardisation) and BEUC (Bureau européen des unions de
consommateurs). ANEC/BEUC inventory of products claiming to contain
nanoparticles available on the EU market. (Excel file. can e.g. be downloaded
from here: http://www.beuc.org/Content/Default.asp?PageID=2142)
environmental NGO “Bund” nanoproduct database:
http://www.bund.net/nc/themen_und_projekte/nanotechnologie/nanoproduktdatenbank/produktsuc
he/
Kortlægning af produkter der indeholder nanopartikler eller er baseret på nanoteknologi. Consumer
Survey No 81. Danish Environmental Protection Agency (in Danish)
*Danish EPA (2007b). Nanomaterials used in the Danish Industry- surveuy on production and
application. Environmental Project No. 1206, Danish Environmental Protection Agency.
Danish EPA (2011). Survey on basic knowledge about exposure and potential environmental and
health risk for selected nanomaterials. Environmental Project No. 1370, Danish Environmental
Protection Agency.
Danish EPA (2011). NanoRiskCat – A conceptual decision support tool for
nanomaterials. Environmental Project 1372,
Danish EPA (2012). Vurdering af de administrative konsekvenser for virksomheder ved
indberetning til en nanoproduktdatabase.
Danish EPA (2013). Muligheder for reduktion af danske virksomheders administrative byrder ved
indberetning til en nanoproduktdatabase: Miljøprojekt nr. 1462.
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http://www2.mst.dk/Udgiv/publikationer/2013/01/978-87-92903-84-6.pdf
*Danish EPA (2013/2014a) On-going survey on nanomaterials on the Danish Market
(expected to be available in autumn 2013).
Danish EPA (2013/2014b). NanoDEN project and as available other on-going surveying activities (to
be discussed with the Danish EPA soon after initiation of the project)
ENRHES (2009). (Engineered Nanoparticles - Review of Health and
Environmental Safety). Final report.
http://ihcp.jrc.ec.europa.eu/whats-new/enhres-final-report
*EU-Commission (2012). Communication from the Commission to the
European Parliament the Council and the European Economic And Social
Committee on the Second Regulatory Review on Nanomaterials. Brussels
3.10.2012 SWD(2012) 288final.
*Friends of the Earth (2008). OUT OF THE LABORATORY AND ON TO
OUR PLATES - Nanotechnology in Food & Agriculture;
(http://nano.foe.org.au/sites/default/files/Nanotechnology%20in%20food%20a
nd%20agriculture%20-%20text%20only%20version_0.pdf)
*Milieu / RPA (2009).Information from Industry on Applied Nanomaterials
and their Safety. http://www.nanomaterialsconf.eu/documents/Nanos-
Task1.pdf
Milieu / RPA (2010). Proposal for an EU Reporting System for
Nanomaterials. http://www.nanomaterialsconf.eu/documents/NanoReportingSystemFinalRep
ort-20Jun10.doc
Nanex (2010). Development of Exposure Scenarios for Manufactured
Nanomaterials). Work package 4 report on consumer exposure.
http://www.nanex-project.eu/mainpages/public-documents/doc_download/101-nanex-project-final-
report-.pdf
+ FP7 Nanex project (http://nanex-project.eu/) surveying
literature and existing exposure models to identify knowledge about consumer
exposure scenarios and assessment of nanomaterials
*Nanoforum (2006). Nanotechnology in Consumer Products.
http://www.innovationsgesellschaft.ch/images/fremde_publikationen/Nanotechnology_in_consume
r_products.pdf
*Nanotechproject (2013). Inventory of the Project on emerging Nanotechnologies (formerly known
as the Woodrow Wilson database)
(http://www.nanotechproject.org/inventories/consumer/)
*NANOWERK (2012);
http://www.nanowerk.com/nanotechnology_databases.php
OECD (2012). Important issues on Risk Assessment of manufactured nanomaterials. Series on the
Safety of Manufactured Nanomaterials No. 33. ENV/JM/MONO(2012)8. OECD.
*RIVM (2006). Nanomaterials in consumer products - Availability on the
European market and adequacy of the regulatory framework. RIVM/SIR
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Advisory report 11014 (IP/A/ENVI/IC/2006-193). Prepared for the European
Parliament. http://www.europarl.europa.eu/comparl/envi/pdf/externalexpertise/nanomater
ials_in_consumer_products.pdf
*RIVM (2007). Inventory of consumer products containing nanomaterials.
RIVM/SIR Advisory report 11124;
http://www.rivm.nl/bibliotheek/digitaaldepot/inventoryconsumerproducts.pdf
RIVM (2009). Exposure to nanomaterials in consumer products. Letter report 340370001/2009.
http://www.rivm.nl/bibliotheek/rapporten/340370001.pdf
*RIVM (2010a). Nanomaterials in consumer products. Update of products on
the European market in 2010. RIVM Report 340370003/2010.
http://www.nanogenotox.eu/files/PDF/rivm%20rapport%20nanomaterials%2
0in%20consumer%20products%2023-02-2011.pdf
RIVM (2010b). Development of an inventory for consumer products containing
nanomaterials. Final Report. 070307/2010/580587/SER/D3;
http://ec.europa.eu/environment/chemicals/nanotech/pdf/study_inventory.pdf
RIVM (2011). Nanomaterial in consumer products. Detection, characterisation and interpretation.
Report 320029001/2011.
*Tænk/ Forbrugerrådet (2013)."Nanodatabasen". (http://nano.taenk.dk/velkommen-tildatabasen)
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Appendix 2 - Selection of 2.consumer exposure scenarios and important parameters for assessing exposure
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RIVM (2006)/ EU Parliament report : Nanomaterials in consumer product
Potentially high exposures are expected from consumer products containing free nanoparticles with direct exposure of these nanoparticles to humans or environmental organisms. As a
result, cleaning products, personal care products and cosmetics are ranked as
products associated with high potential health and environmental exposures. On the
other hand, the following products likely do not contain free nanoparticles and are therefore ranked
as products with low potential exposures: electronics and computers (excluding ink
and paper), cooking utensils and kitchenware, exteriors of motor vehicles, sporting
goods, shoes, air filtration and purification, air conditioning and coatings. If the
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integrated nanomaterials in these products are not released during the use and disposal of these
products, the potential environmental exposures of these products will also be ranked as low.
Unfortunately, little is known with respect to the release of integrated nanomaterials during the use
or during the processing after disposal.
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1= high exposure 2= medium exposure 3= low exposure
The most important parameters for the exposure evaluation by the experts
were:
- Free/ fixed NM
- Product form
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- Direct/ indirect exposure
- Exposure route
- Indoor/outdoor exp.
Nanodatabasen
(DTU Environment, The Danish Ecological Council and Danish Consumer Council)
High exposure potential (red scoring) for:
- home and garden products e.g. coating/ paints / cleaners
(i.e. products (aerosols and liquids) for surface treatment and cleaning)
- food and beverages
- health and fitness (cosmetics sunscreen, personal care products)
- car care products (cleaning solvents, surface treatment, liquid and aerosols)
- various coatings
Conclusion
Products/ scenarios to be covered from:
Food and beverages
NM ingredients
Food supplements
NM in packaging (migration)
Cosmetics (spray, liquids, creme, lipstick, mascara…)
Cleaning agents
Liquids, spray, paste
Coatings/ impregnation
Liquids, spray, paints
Maintainance products (car, boats)
Liquids, spray, paste
Textiles
Construction materials
Cement/ concrete a.o
Starting point most relevant for Denmark would be “Nanodatabasen” and its
exposure grading based on NanoCatRisk combined with RIVM 2009
regarding most important parameters for exposure.
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Appendix 3 - Identification 3.of relevant existing databases/surveys/inventories on marketed nanomaterials
Short description of the databases/surveys/inventories
*ANEC (European Association for the Co-ordination of Consumer Representation in
Standardisation) and BEUC (Bureau européen des unions de consommateurs).
ANEC/BEUC inventory of products claiming to contain nanoparticles available on
the EU market. (Excel file. can e.g. be downloaded from here:
http://www.beuc.org/Content/default.asp?pageId=1120&searchString=inventory
Scope: The database is an inventory over consumer products claiming to contain
nanomaterials.
Content/ outcome: The database contains 475 products categorized into appliances,
automotive, cross-cutting, electronic and computers, food and beverage, goods for
children, health and fitness, and home and garden. Last update was October 21, 2010. The
information include information on nanosubstance, if known, and a helpful description of
the characteristics and nanoclaim. There is link-out to venders website. There are several
Danish products and most declared nanoproducts have AgNM. An update only on
nanosilver containing products was made in 2012.
Exposure: No direct information.
Relevance: Medium. Could be useful for finding nanoproducts with specific contents.
Also links to the web-site of the products
*Bund (2013). German environmental NGO “Bund” nanoproduct database:
http://www.bund.net/nc/themen_und_projekte/nanotechnologie/nanoproduktdate
nbank/produktsuche/ Scope: The database is intended as a database on consumer products with link-out to the producers. Content/Outcome: The data base covers 11 product categories and 44 subcategories. The product caregories are: Auto/cars; electronics; leasure; health; house and garden; household products;children; body care; food, textiles. Exposure: No indication of exposure potential
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Relevance. Medium. The database may be relevant, however it is not practical to use in its search options. No consistent outputs when various search strategies options were used.
*Danish EPA (2007a). Kortlægning af produkter der indeholder nanopartikler eller
er baseret på nanoteknologi. Consumer Survey No 81. Danish Environmental
Protection Agency (in Danish).
Scope: To identify the consumer products on the Danish market containing NMs
Content/ outcome: 243 specific consumer products divided in 9 product categories were
identified based on the suppliers statement as a nano-product.
For each consumer product data on company names, production country, availability in
DK, ID of nanomaterial, product formulation were given.
Products claimed to contain ZnO, TiO2; Ag, CNT and fullerenes were identified. For 202
products no data on NM ID was available.
Exposure: Further the consumer exposure potential from the products was ranked into
“no possibility for consumer exposure” – “possible exposure” – “expected exposure”.
However, no distinction between exposure routes was given. The evaluation was done
based on data whether the nanomaterial in the use phase could be considered as fixed in a
solid matrix, surface bound, suspended in liquids, or as air borne.
Based on this, products for surface treatment (liquid and aerosols) and cosmetics
(sunscreen and facial creme) were considered as products with very high exposure
potential. Specific exposure scenarios were elaborated for facial creme, sunscreen (creme),
outdoor surface treatment with liquid product, indoor surface treatment with spray.
Relevance: Medium-High. Not up to date for the inventory part. However 4 specific
exposure scenarios was elaborated and an overall approach for screening the NM exposure
potential for a product was given.
Danish EPA (2007b). Nanomaterials used in the Danish Industry- survey on
production and application. Environmental Project No. 1206, Danish
Environmental Protection Agency.
Scope: To identify where NMs are used in Danish Industry, in which sectors for which
purpose and how they are treated with respect to environmental release and in the
occupational environmentand in which type of processes. Also the available knowledge
regarding specific data on the used NMs were collected.
Content/outcome: 24 companies working with NMs were identified. NMs were used
within the product categories: paint & inks; coatings, cosmetics,Pharm & biotech; optics;
sensors; catalysts, concrete and textile. No specifec data on NMs was in general available
Tonnages and uses were indicated For TiO2; Fe2O3, carbon black silica, ZnO, AG, Cu.
Exposure: In the industrial setting NMs was in general handled as fine dust
Relevance: Low. Not up to date, does not focus on use of products but on occupational
environment during the manufacture process
Danish EPA (2011). Survey on basic knowledge about exposure and potential
environmental and health risk for selected nanomaterials. Environmental Project
No. 1370, Danish Environmental Protection Agency.
Scope: To provide an overview of the existing knowledge of different nanomaterials,
including environmental and human health properties, uses of those nanomaterials and
possible exposure scenarios of both humans and the environment.
Content/outcome: Seven different nanomaterials (Titanium dioxide, Cerium dioxide,
Fullerenes, Silver, Zero-valent iron, Silicium dioxide and nanoclay) are chosen on
the basis of application volume, potential for human and environmental exposure
from consumer product and expected biological effects. Information on manufacturing,
uses, toxicological and eco-toxicological properties, exposure scenarios and risk profiles
are summarized for each NM.
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Exposure: Focus is on direct exposure of humans from consumer products and how
nanomaterials from consumer products may end up in the environment. Main consumer
applications are summarized and the level of consumer exposure, related to these
applications, is indicated (low, medium, high). The indications are based on how the NM is
incorporated in the matrix, e.g. fixed particles in a matrix is equal to low potential
consumer exposure.
Relevance: Low. Gives an overview of existing knowledge – largely based on results of the
ENRHES (2009) project/report. No quantitative data presented.
Danish EPA (2011). NanoRiskCat – A conceptual decision support tool
fornanomaterials. Environmental Project 1372.
Scope: NanoRiskCat is a tool enabling categorization and rapid communication in color-code of the known hazards and potential exposures to man and the environment. Content/Outcome: The user is guided through decision trees for both exposure and human risk assessment. The exposure assessment is based on the location of the nanomaterial in the nanoproduct combined a predefined color-coding of REACH use scenarios. The human hazard assessment is based on the hazard information on existing analogue materials and observed in vivo and in vitro toxicological effects for the specific nanomaterial in question. Exposure: In the report, the exposure assessment is based on the location of the nanomaterial in the nanoproduct combined a predefined color-coding of REACH use scenarios. Relevance: The procedure is highly relevant for the project. Examples of use is given in the report and the Danish Consumer Database has been assessed using this tool.
Danish EPA (2012). Vurdering af de administrative konsekvenser for virksomheder
ved indberetning til en nanoproduktdatabase. Miljøprojekt nr. 1451.
http://www2.mst.dk/Udgiv/publikationer/2012/11/978-87-92903-68-6.pdf
Scope : To evaluate the administrative burdens on Danish industry in connection with
obligatory notification of nanoproduct to a Danish nanoregistry.
Content/ outcome: How to notify into 8 product categories in the nanoregister and
evaluation of the administrative burden of this. Description of the productcategoris and
examples of nanomaterials (eg. TiO2, Fe2O3, Carbon, Silica, ZnO, Ag, Cu and pigments)
used in the various product categories.
Exposure: no consideration regarding exposure
Relevance: Low
Danish EPA (2013). Muligheder for reduktion af danske virksomheders
administrative byrder ved indberetning til en nanoproduktdatabase: Miljøprojekt
nr. 1462. http://www2.mst.dk/Udgiv/publikationer/2013/01/978-87-92903-84-6.pdf
Scope: To identify proposals for reducing the administrative burden for industry when
notifying nanoproduct to a nanodatabase.
Content/ outcome: Evaluates the administrative burden of the industry ion connection to
various levels on information request for notification of a nano product.
Exposure: no consideration regarding exposure
Relevance: Low
Danish EPA (on-going). Survey project on products/applications for which “nano”
is already regulated under EU law
We await a first draft report from Technological Institute. The project is between other
addressing medical devices, which might identify NMs in medical devices for consumer
use, which might potentially cause a risk.
Danish EPA (on-going). NanoDEN project. Project ongoing …
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Scope: To assess the whether ENMs are likely to present a risk for the Danish
Environment. 10 Nanomaterials are addressed: Photocatalytic TiO2, photo-stable TiO2,
ZnO, silver, Carbon Nanotubes, CuCO3, zero-valent Iron, Cerium dioxide, quantum
dots,,Carbon Black.
Content/outcome: As part of the ‘environmental load’ estimation, diffuse releases from
consumer products are estimated on a general level. This will partly be based on i) the
below described “survey project”, ii) on assumptions already made about use in “Western
countreis” in the Swiss model applied in the project, iii) survey activities as part of the
project.
Exposure: No human/consumer exposure estimations are performed.
Relevance: Medium. Project ongoing. Compared to existing surveys, the project might
provide new information about presence and quantity of NMs in consumer products on
the Danish marked. Currently, no new high exposure/risk exposure scenarios are
identified compared to those listed in Chapter Fejl! Henvisningskilde ikke fundet.. The final
report expected by the end of the year will be addressed in the further WP2 activities.
ENRHES (2009). (Engineered Nanoparticles - Review of Health and Environmental
Safety). Final report. http://ihcp.jrc.ec.europa.eu/whats-new/enhres-final-report
Scope: The overall aim of the project was to perform a comprehensive and critical scientific
review of the health and environmental safety of four classes of nanomaterials: fullerenes,
Carbon Nanotubes, metals and metals oxides. The review considers sources, pathways of
exposure and health and environmental issues.
Content/Outcome: The project, between others, describe general applications of the four
materials types, as well as more detailed human health assessment of fullerenes, CNTs,
nano-TiO2 and nano-silver.
Exposure: The human health exposure assessments largely focus on occupational
inhalation exposure, although some considerations are provided on nano-silver and
fullerene containing consumers products.
Relevance: Medium. Potential high risk applications of nano-sivler as wound dressings,
as anti-bacterial agents (e.g. in textiles), as non-invasive hair removal products and in
toothpaste are addressed. NB! Whether the two latter applications occur in Denmark is not
known. Toxicity has been observed following applications with wound dressings (argyria
and liver toxicity). Fullerenes is used in some face creams (apparently most in Asian
countries, but might be bought e.g. via the Internet by European consumers). Several well-
known applications of nano-TiO2 are described, including use as UV-filter in cosmetics
and white pigment in paints/coatings.
European Commission (2012). Communication from the Commission to the
European Parliament the Council and the European Economic And Social
Committee on the Second Regulatory Review on Nanomaterials. Brussels 3.10.2012,
including SWD (2012) 288 final.
Scope (of the Staff Working document - SWD): To present available information ontypes
and uses of NMs, including safety aspects and to discuss options for a harmonized
database for nanomaterials. Content/Outcome: The paper is divided into several parts, where the first section focuses on giving further explanations on the EU definition of nanomaterials. In the Second part an overview of the main types and uses of nanomaterials on the European market is given. This is further elaborated in appendix 2, where a structured, though not exhaustive, overview of nanomaterials on the EU market is given. The third section covers information on the health and safety aspects of the nanomaterials by reviewing literature currently available to the commission and in the fourth part issues and activities relating to the risk assessment of nanomaterials are analyzed. In the last section, information on existing databases on (or with relevance to) consumer products containing nanomaterials is
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compiled. Appendix 8 reviews the existing product databases on the basis of certain criteria.
The outcome of the discussion of the possibility of a harmonized European web platform
on types and uses of nanomaterials (incl. safety aspects) is that the Commission is ready to
host such inventory, and that the web platform should benefit from the results in the
recently concluded RIVM report "Development of an inventory for consumer products
containing nanomaterials" Exposure: Exposure is only covered in a general matter. An important factor in characterizing exposure, according to the paper, is whether the nanoparticles occuras free particles, whether they occur in aggregates or agglomerates, whether they are bound in a matrix or enclosed in equipment, or whether they are transformed during the production process in a way that they do not occur as nanoparticles in the finished product. The paper highlights nano-titanium dioxide and nano-zinc oxide (due to high potential exposure, in particular in their applications as UV-filters), carbon nanotubes (for the possible carcinogenicity of certain forms) and nano-silver (for possible ecotoxicity) applications of nanomaterials where significant exposure of workers, consumers or the environment may occur.
Relevance: Medium-High. The overview of NMs on the European market must be
assumed to address NMs/products, which can generally also be found on the Danish
marked. The initial review has not identified any new high exposure/risk exposure
scenarios than those described in Chapter Fejl! Henvisningskilde ikke fundet.. The
document with its broad scope may further be consulted and used in the various work
packages of the project.
*Friends of the Earth (2008). Out of the laboratory and on to our plates -
Nanotechnology in Food & Agriculture
(http://nano.foe.org.au/sites/default/files/Nanotechnology%20in%20food%20and%
20agriculture%20-%20text%20only%20version_0.pdf)
Scope: To elaborate how manufactured nanomaterials and nanotechnologies are used in
food and agriculture and which health related risks that are associated with this.
Content/Outcome: The report focuses on the issues associated with the intentional
addition of nanomaterials to foods, food packaging and agricultural products. The
report also focuses on regulation of nanomaterials in these products and
discusses issues following this. There are descriptions on how nanotechnology is used in
the different categories (i.e. processed food, food packaging, agriculture etc.) and potential
health effects following these uses are covered as well. Appendix A of the report contains a
list of agricultural and food products that were identified to contain manufactured
nanomaterials by the authors.
Exposure: There is no quantitative data on the amounts of nanomaterials in the products
and thus no considerations regarding exposure scenarios
Relevance: Medium. Provides some information about which NMs might be found in
which food products, however without quantification.
Milieu / RPA (2009).Information from Industry on Applied Nanomaterialsand their
Safety. http://www.nanomaterialsconf.eu/documents/Nanos-Task1.pdf
Scope:
Content/ outcome:
Exposure:
Relevance: MATERIAL NO MORE ACCESSIBLE THROUGH ANY LINKS FOUND IN
WEB SEARCH
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Milieu / RPA (2010). Proposal for an EU Reporting System for Nanomaterials.
http://www.nanomaterialsconf.eu/documents/NanoReportingSystemFinalReport-20Jun10.doc
Scope:
Content/ outcome:
Exposure:
Relevance: MATERIAL NO MORE ACCESSIBLE THROUGH ANY LINKS FOUND IN
WEB SEARCH
Nanex (2010). Development of Exposure Scenarios for Manufactured
Nanomaterials. Work Package 4 Report on Consumer Exposure.
http://www.nanex-project.eu/mainpages/public-documents/doc_download/101-
nanex-project-final-report-.pdf
Scope: The objective of the consumer exposure part of the Nanex project (2010) was to
collect and review information in order to describe and characterize exposure for three
generic consumer exposure scenarios and to identify the needs to comply with EU
legislation.
Content/Outcome: The focus was on three generic exposure scenarios identified as
relevant for consumers. These were: i) nano-silver in textiles, ii) nano-TiO2 in cosmetics,
and iii) carbon nanotubes (CNTs) in composite materials used in consumer products.
23 references dealing with consumer exposure to nanomaterials were identified and
reviewed and this was supplemented with a review/analysis of generic consumer exposure
models available. Based on this information it was attempted to develop (worst-case)
exposure estimations for the three exposure scenarios. The reviewed tools and models for
consumer exposure estimations were the ConsExpo model, the ECETOC TRA model, the
RISKOFDERM (ROD) model and the Spray Paint model. These models were reviewed in
order to examine their applicability regarding consumer exposure to nanomaterials. The
overall evaluation of the models showed that for dermal exposure the existing models may
be used with caution for engineered NM as well. For inhalation exposure estimates the
models seemed less applicable, since they were found not to consider the nano-specific
properties of the materials. Considerations should also be paid to the fact that none of the
models were validated for NMs and that the exposure estimated are given in mass-based
metric.
Exposure: Exposure estimates were made for the three above mentioned generic exposure
scenarios, and where applicable, several exposure scenarios are built. Exposure routes for
the scenarios are also covered. The exposure scenarios are as follows:
Nano-Ag in textiles: In socks (worst 'worst-case')
In T-shirts (worst 'worst-case')
In wound dressings (reasonable worst-case)
CNT in textiles: Textile products with CNTs bound into the matrix
Nano-TiO2 in sunscreens: Creams and lotions
Sprays
Lipsticks
Relevance: Medium-High. Relevant for model evaluation in WP1. WP2:
Quantitative data is given for most of the scenarios.
Nanoforum (2006). Nanotechnology in Consumer Products.
http://www.innovationsgesellschaft.ch/images/fremde_publikationen/Nanotechno
logy_inconsumer_products.pdf
21
Scope: The focus of the report is consumer products on the European market which claim
to contain nanotechnology
Content/Outcome: The report describes in general how nanotechnology is and may be
used in consumer products. The report lists different effects and innovations, which are
considered as important factors contributing to the added value in consumer
products containing nanotechnology.
Different product categories are listed and examples of how nanotechnology is
Incorporated into the consumer products and the following beneficial effects are given.
These product categories are: textiles, health care products, electronic devices, sports
equipment, home improvement and household products. Examples of specific products
containing (or claiming) nanotechnology is given.
Exposure: No considerations regarding actual exposure. The report can give a general idea
of difference use patterns of products of different product categories, but no actual data on
exposure level or exposure scenarios and no quantitative data are given.
Relevance: Low. Reference does not seem to add any new information as compared to
other sources indicated with higher relevance.
*Nanotechproject (2013). Inventory of the Project on emerging Nanotechnologies
(formerly known as the Woodrow Wilson database)
(http://www.nanotechproject.org/inventories/consumer/)
Scope: The inventory is claimed to be an essential resource for consumers, citizens,
policymakers, and others who are interested in learning about how nanotechnology is
entering the marketplace.
Content/Outcome: At the present the inventory includes a total of 1317 products produced
by 587 companies, located in 30 countries. The last update was in October 2011.
The criteria for listing a product in the inventory are that:
It can be readily purchased by consumers, and
It is identified as nano-based by the manufacturer or another
source, and
The nano-based claims for the product appear reasonable.
Most products in the inventory satisfy these three criteria. However, some "generic"
products have been added as well, which are products that can be found in many places on
the market (e.g. computer processor chips). These are labeled in the inventory.
There have been no verification of the manufacturer's claim of the nanotechnology used in
the product and no independent testing of the products has been conducted prior to
listing.
The inventory is divided into 7 different categories and a "cross-cutting" category, and 34
subcategories:
Appliances (Batteries; heating, cooling and air; large kitchen appliances; laundry and clothing care)
Automotive (Exterior; maintenance and accessories; watercraft) Goods for Children (Basics; toys and games) Electronics and Computers (Audio; cameras and film; computer hardware;
display; mobile devices and communications; television; video) Food and Beverage (Cooking; food; storage; supplements) Health and Fitness (Clothing; cosmetics; filtration; personal care; sporting
goods; sunscreen)
22
Home and Garden (Cleaning; construction materials; home furnishings; luxury; paint, luggage, pets)
Cross-Cutting (Coatings)
Exposure: No considerations regarding exposure.
Relevance: Medium-high. The inventory provides information on the possible (based on
claims) content of NMs in a range of consumer products. The inventory provides some
information about the identity of the NMs in the products. The inventory gives no
quantitative information. Very good options for targeted search in the register. Has very
recently been updated (November 2013). Contains also European nano products, thus
contain also products from the Nanodatabase (DTU Environment, The Danish Ecological
Council and Danish Consumer Council). May be relevant for supplemental search due to
good search options. l
*NANOWERK (2012)
http://www.nanowerk.com/nanotechnology_databases.php http://www.nanowerk.com/phpscripts/n_dbsearch.php http://www.nanowerk.com/products/products.php http://www.nanowerk.com/products/products.php#ixzz2eWH0sUVe
Scope: The Nanowerk product database, is not comprehensive and still in progress. The purpose of this database is to give an idea of how and where in industry nanoscale materials, devices, structures and processes are being used. Content/Outcome: The database link out to companies producing the different nano-based products. Exposure: There is no information on exposure Relevance: Low to moderate. Check of the database may give the user inspiration on potentially new products.
OECD (2012). Important issues on Risk Assessment of manufactured nanomaterials.
Series on the Safety of Manufactured Nanomaterials No. 33.
ENV/JM/MONO(2012)8. OECD.
Scope: Examines and identifies critical issues (where specific nano-material data are
required) in relation to performance of risk assessment.
Content/outcome: Focus on the hazard assessment part, where data on the ID and
characterization of the NM was stressed.
Exposure: 14 issues in relation to exposure assessment is shortly mentioned, however in
and overall and general manner
Relevance: Low-Medium (mostly for WP1 and WP5)
RIVM (2006). Nanomaterials in consumer products - Availability on the European
market and adequacy of the regulatory framework. RIVM/SIR Advisory report
11014 (IP/A/ENVI/IC/2006-193). Prepared for the European Parliament.
http://www.europarl.europa.eu/comparl/envi/pdf/externalexpertise/nanomaterial
s_in_consumer_products.pdf
Scope: The report describes the uses of NMs in consumer products and discusses the
human exposure and risk for human health. Further it analyses the adequacy of the
current legislation.
Content/ outcome: 8 overall categories divided in 29 subcategories and generic examples
of products within the subcategories was given (table 2.7 in the report). Also, a table
indicating use of 21 different nanomaterials within the various product subcategories
(table 3.1 in the report).
23
Exposure: Main characteristics for exposure potential (as well as for hazard potential) was
given, table 3.2 (and table 3.3). Ranking of exposure potential was given for the various
product subcategories (in: high, medium, low, unknown), table 3.4 . Not divided in
exposure routes but oral, dermal, and inhalation route was noted as important for
consumer products. High exposure potential was especially concluded for cosmetics and
cleaning products.
Relevance: High. The approach is further used and developed in the following RIVM
reports.
*RIVM (2007). Inventory of consumer products containing nanomaterials.
RIVM/SIR Advisory report 11124;
http://www.rivm.nl/bibliotheek/digitaaldepot/inventoryconsumerproducts.pdf
Scope: To make an updated list/ inventory with specific products that claim to contain
NMs and which may be available on the Dutch market.
Content/ outcome: From available other databases, from web-search and from contacts to
manufactures a list of 143 named consumer products claimed to contain NMs was
established. The products were divided in 12 product categories covering: - Appliances; -
Electronics & computers; - Home furnishing & household products, - Motor vehicles; -
Food packaging; - Personal care products & cosmetics; - Health; - Sporting Goods; -
Textile; - Toys & Games; - Cross-cutting (multifunctional e.g. coatings); - Miscellaneous.
Most products were found in cleaning products (21), coating/paints (12), other coating
(28), skin care (12), construction materials (10), clothing (12). Sporting goods (10)
Exposure: The matrices for the claimed NMs were given: solid, coating, fluid, spray,
creme, paste, paint, foam, gel, textile. NM ID was given for only few products: silver,
silica, poymers, carbon. titanium, CNT, silicon oxide, calcium. Exposure routes are
discussed on an overall level. Liquids and aerosols considered to be of high exposure
potential, thus cleaning and coating products would constitute high potential for dermal
and inhalational exposure.
Relevance: Medium, relevant categories are given, however, no further specific grading of
exposure is given. Not up to date.
RIVM (2009). Exposure to nanomaterials in consumer products. Letter report
340370001/2009. http://www.rivm.nl/bibliotheek/rapporten/340370001.pdf
Scope: To update the RIVM NM inventory from 2007 and to give a market value analysis.
Further to make expert consultation on defining relevant important exposure parameters
and to grade exposure potential from the various product categories and product
formulations .
Content/ outcome: The trend in increased amount of products containing NMs was given,
however, no specific figure on number of products on the Dutch market were given.
Products were divided into 8 product categories: - motor vehicles,- electronics and
computer, - miscellaneous,- household products and home improvement,- personal care
and cosmetics, - sporting goods, - textiles and shoes, -
filtration/purification/neutralization/ sanitization.
Further divided into 28 product subcategories.
More than 20 NMs and the use in various types of products were listed (table 4.4 in the
report)
(e.g. aluminia, CNT, carbon black, nanoclay, iron oxide, polymer, silica, silver, TiO2,
precious metals)
Exposure: Expert panel identified the following parameters to be important for exposure :
NM ID; shape of NM in product; product form (e.g. solid, spray, liquid , powder etc.) ;
free/fixed NM, concentration; direct or indirect exposure; indoor/outdoor use; event
duration; event frequency, exposure route, numbers of the population (table 5.1).
24
The parameters fixed/ free NM; direct or indirect exposure; product form, and exposure
route were considered to be the most import parameters for characterising the product in
relation to its exposure characteristics.
From these parameters the various types of products was assessed for their consumer
exposure potential in the categories (high, medium, low exposure). High exposure
potential for: sun cosmetics; toothpaste; health care products; fuel; coatings, cleaning
products with NMs such as ZnO, TiO2; hydroxyapatite; silver; cerium oxide; polymers;
aluminia. (table 5.2). Low exposure potential for electronics and computers, sportoing
goods, lighting; precoated surfaces.
Relevance: High. Provides the most detailed assessment of characteristics of importance
for exposure evaluation and identifies spec ific product types with high potential for
consumer exposure.
*RIVM (2010a). Nanomaterials in consumer products. Update of products on the
European market in 2010. RIVM Report 340370003/2010.
http://www.nanogenotox.eu/files/PDF/rivm%20rapport%20nanomaterials%20in%
20consumer%20products%2023-02-2011.pdf
Scope: To make an update of products containing NMs on the European market based on
internet search and consultation of available databases and recent reports.
Content/ outcome: A total of 858 named products were listed. The products were divided
in 12 product categories: -appliances (20);- electronics and computers (9); -home
furnishing and household products (108),- motor vehicles (103 mainly coating cleaning
products) ; - packages (incl. food pack.) (1); - personal care products and cosmetics (304), -
health (8); - sporting goods(40); - textile (81); - toys and games (2); - cross-cutting
(especially coatings) (30); - miscellaneous (9).
Exposure: Important parameters for assessing the potential for consumer exposure was
given (identical to RIVM (2009), see above). No data on product form or ID for
nanomaterial was given.
Relevance: medium, the inventory gives a rather updated view on the European market
for products containing NMs and the importance of each of the product categories is
indicated on the number of products pertaining to the category. However, no further
product information is given except links to warehouse or product web-site.
RIVM (2010b). Development of an inventory for consumer products containing
nanomaterials. Final Report. 070307/2010/580587/SER/D3;
http://ec.europa.eu/environment/chemicals/nanotech/pdf/study_inventory.pdf
Scope: To develop a methodology to set up a database on NMs in consumer products and
to populate the database with examples of approx. 200 consumer products
Content/ outcome: The report reviews available databases and literature (as this project!).
In the proposed set up for a database the products were suggested to be divided into the
following 10 product categories: : -appliances;- electronics and computers; -home
furnishing and household products ,- motor vehicles ; - packages (incl. food pack.); -
personal care products and cosmetics, - health; - sporting goods; - textile and shoes; - toys
and games.
Exposure: No considerations regarding exposure is indicated
Relevance: Low, however the further use of the defined product categories may be
considered (very comparable to RIVM 2010a).
RIVM (2011). Nanomaterial in consumer products. Detection, characterisation and
interpretation. Report 320029001/2011.
Scope: To use analytical methods to verify the ID and content of NMs in consumer
products claimed as nano-products.
25
Content/ outcome: 25 products were selected and analysed. Several products claimed to
contain NMs did not contain substances in nanoform. In several silver products nano-
silver was not found. In some products not claiming as nano-products NMs were found . A
number of claimed nano-products contained organic “soft” nanomaterials i.e. not solid
and unsoluble NMs.
NMs were found in diaper cream, lip balm, shoe cream, wall paint, anti-wrinkle cream,
facial mask, socks, sunscreen, wound dressing, leather maintainance product, anti-dirt
spray,
The following NMs were positively identified in the products: ZnO; Ti; Si; Ag; Zn; organic
NM;
Exposure: No considerations regarding exposure
Relevance: Low, however the outcome to the project causes great uncertainty concerning
the existence of NMs in products claimed to contain NMs.
*Tænk/ Forbrugerrådet (2013)."Nanodatabasen".
(http://nano.taenk.dk/velkommen-tildatabasen)
Scope: In a continuous process to register Nano-products that are available on the Danish
market and provide relevant information to the consumers regarding type of product and
nanomaterial and the potential for NM exposure and potential hazard of the NMs.
Content/ outcome: Currently 1236 products with product information have been
registered in the database. The products are registered within 9 product categories and 32
product subcategories. Product information and use formation on the named products are
available on the database and an evaluation according to the NanoRiskCat scheme is made
for each product.
Information regarding formulation of the product, location and ID of the NMs are given if
available.
The 9 product categories are: - appliances; - electronics & computers; - home & garden; -
food & beverages; - health & fitness; - automotive; - cross cutting (coatings); - goods for
children; - not categorized.
The potential for hazardous properties of the nanomaterial both in relation to human
health and in relation to environment is graded in “high, medium, low and unknown”
according to the criteria and the colour codes described in the NanoRiskCat scheme.
Search can be made in the database in relation to product name; manufacturer;
nanomaterial, product type (category and subcategory), and production country.
Exposure: The exposure potential towards consumers, workers and the environment is for
each category graded in” high, medium, low, unknown” according to the criteria and the
colour codes described in the NanoRiskCat scheme. From the database high consumer
exposure potential (red scoring) can be seen for:
- home and garden products e.g. coating/ paints / cleaners (i.e. products (aerosols
and liquids) for surface treatment and cleaning)
- food and beverages
- health and fitness (cosmetics sunscreen, personal care products)
- car care products (cleaning solvents, surface treatment, liquid and aerosols)
- various coatings
Relevance: High. Related to the Danish market. Continuously updated. Ranking of
exposure (and hazard ) potential.
Overall evaluation
Databases/ inventories
For the inventories/databases, the Danish “Nanodatabasen” seems as the most relevant
database as it is a living database with detailed information and evaluation of each
product. Thus this should be the first-choice database when extracting data from products
from various product categories. Secondary databases for WP 2.3 would be the BUND
26
database (also a living database) and the ANEC/BEUC database (last update 2012 with
nanosilver products) covering to a great extent the same product categories as the
Nanodatabase. Also Friend of the Earth´s listing of nanoproduct s in food and agriculture
from 2008 may be of importance in extracting data from products in the product category
food and food packing.
Exposure information
With respect to a framework for screening of the exposure potential for NMs through the
use of consumer products, the RIVM (2009) approach seems most developed in
pinpointing relevant parameters for exposure estimation. Furthermore, RIVM
recommends to differentiate between the various exposure routes in the exposure
assessment. NanoCatRisk uses a more simplistic approach predominantly based on the
matrix effects and the potential of release of the NM from the matrix as an indicator for
exposure and do furthermore not differentiate between the various exposure routes when
assessing the exposure potential.
Thus, the parameters identified by RIVM (2009) seems to be a good starting point for the
relevant exposure parameters to look for when looking for and extracting product
information in the databases in WP 2.3.
With respect to description of detailed specific exposure scenarios for marketed products
the reports from Danish EPA (2007) and Nanex (2010) may contribute to WP2.4, however
further search for additional specific exposure scenarios would be needed.
28
Food and beverages 4.1
Food and beverages (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/ Powder/Solid
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/ outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Danish Nanodatabase contains reference to 51 products belonging to food and beverages category. The nanomaterial are not known for most of the products, the known materials are mainly silver but also zinc, palladium, iridium and platinum are used. A supplementary survey of products on the Danish market containing nanomaterials (Danish EPA, 2013,draft) highlights that the Danish Veterinary and Food Administration have not yet received inquiries from companies to use nanomaterials in food and feed products. However the survey have identified following approved food additives which may be considered as nanomaterials; silicon dioxide, titanium dioxide, calcium carbonate, and carbon black. Iron, calcium and silver and oxides thereof are being marketed as food supplements but are not approved as food additives. For use in food contact material nanomaterials such as silicon dioxide, titanium dioxide and titanium nitride have been approved for use. The ANEC-BEUC inventory contains a food and drink category. The products are however similar to the products in the Danish nanodatabase, but some additional food supplements are identified The BUND database contains about 130 products in the food and beverage category. No products have been selected for this table as products are considered covered by the Danish nanodatabase. The Nanotech project database contains 199 products in the food and beverage category, most are already covered by the products selected above and no additional products have been selected. Product category/Products: Food and beverages
29
Food and beverages (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Solgar CQ10,
60 capsules,
Food suppl.
Specified Suspension in liquid CoQ10 molecules
as micelle
1 capsule daily Oral http://www.nutritioncentre.co.uk/products/485-solgar-nutri-
nano-coq10-with-alpha-lipoic-acid
http://nanodb.dk/da/products/
solgar-cq10
Estimated <1% <1g Hours Adults
Colloidal
Silver, 15 ml
Food suppl.
Specified Suspension in liquid Silver 500 ppm
(0,05%)
Daily Oral http://www.fairvital.com/produ
ct_info.php?products_id=77
Estimated <1g Hours Adults
Mesozinc
500 ml
(1 month
supply)
Food suppl.
Specified Suspension in liquid zinc 30 ppm (0.003%)
5 -20 ml Daily Oral http://www.purestcolloids.com/mesozinc.php
Estimated Hours Adults
30
Food and beverages (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Sovereign
Silver (8oz) 10
ppm Nano
Hydrosol
(Liquid) Food
suppl.
Specified Suspension in liquid Silver 10 ppm (0.001%)
Oral http://www.amazon.co.uk/Sovereign-Silver-Hydrosol-Liquid-Bottles/dp/B002RGCX32/ref=sr
_1_51?ie=UTF8&qid=1321453507&sr=8-51 Estimated <1g hours Daily/Weekly Adults
MesoPlatinum,
250 ml-3800 ml
Food suppl.
Specified Suspension in liquid Platinum 10 ppm (0.001%)
5-20 ml Daily Oral http://www.purestcolloids.com/mesoplatinum.php
Estimated Hours Adults
MesoPaladium
250 ml-3800 ml
Specified Suspension in liquid Paladium 10 ppm
(0.001%)
5-20 ml Daily Oral http://www.purestcolloids.com/mesopalladium_price_list.php
31
Food and beverages (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Food suppl. Estimated Hours Adults
Allergy
Research
Group,
Mucolyxir
Nanotech
Nutrients 12 ml,
Food suppl.
Specified Suspension in liquid DNA from pacific
salmon
0.3 µg/drop (0.05 ml)
Oral http://www.allergyresearchgroup.com/Mucolyxir-Nanotech-
Nutrients-12-ml-liquid-p-151.html Estimated <1g Hours Daily Adults
Muscle tech
Nano Vapor tm
Body building
Food suppl.
Specified Powder
NI NI >10g (13g) Oral http://www.wholesalefitness.co.nz/site/ViewItem.aspx?pageModuleItemId=982300
Estimated Minutes/hours
Daily Sportsmen
Bionic Joint
Support
Specified Suspended in liquid Hyalu- ronic
nano-
NI Oral http://www.life-enhancement.com/shop/produ
ct/bjs-bionic-joint-support
32
Food and beverages (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
pheres The product is also present in
the Danish nanodatabase, but presented with unknown nanomaterial.
However from the product website it seems likely that the
actual nanomaterial is the carrier system for the identified
substance
Estimated 1-10g Minutes/hours
Daily Sportsmen
NI: not indicated
Overall findings
All the identified products are food supplements. The food supplement products contain a wide range of elements, such as silver, platinum, palladium and gold, but also
different organic substances apparently in the nano size are used. Among the identified NM a concentration level up to 500 ppm is indicated (for silver). Uses of NM in food
products have not been presented in the databases, and therefore not included in the table. However, silicon dioxide, titanium dioxide, calcium carbonate, and carbon black
which may be considered as nanomaterials are all approved food additives for colouring , anticaking etc..
33
Cosmetics 4.2
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/
matrix Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Application
method
3
NM
ID
4
Conc. of
NM in product
5
Volume of
product per use
6
Duration
per event
7
Use
frequency and site of
use
8
Consumer
group.
9
Primary
exposure route(s)/
(secondary exposure
route)
10
Comments/ web-links
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/
Indoor/ outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
The Danish Nanodatabase contains 63 cosmetic products. Only few products with identified nanomaterials, typically silver. Many of the products is also found in the Nanotechproject database as non-European products. A supplementary survey of products on the Danish market containing nanomaterials (Danish EPA, 2013,draft) nanomaterials were identified in cosmetics as colorants and UV filters, the identified nanomaterials were titanium dioxide, carbon black, iron oxides and aluminium hydroxide. The nanomaterials were present in up to 5%. In the BUND database contain 100 products under the category körperpflege of which identification of the nanomaterial is given for 64 products. The majority contain siliciumdioxide and titaniumdioxide The ANEC-BEUC inventory contains nearly 100 cosmetics products- the majority having no nano ID. Nano ID mostly titanium dioxide, silver and fullerenes The Nanotechproject database contains 198 cosmetic and sunscreen products of which ID of the NM is given for for 99 products. Nearly all products are from non-European countries.
Product category/Products: Cosmetics
34
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Mydelko
naturalne
Soap,100 g
Specified silver http://nanodb.dk/products/mydelko-naturalne-natural-soap-0
http://www.mydelkonaturalne.com.pl/en/product/how-was-
natural-soap-created.html
Estimated Suspended in liquid
Applied on skin, Rinse off product
<1% <1g / 1-10 g minutes daily All dermal
Nanolia pure
silver Anti-
Redness
50 ml body gel
specified Suspended in gel
Applied on skin, leave on
silver http://nanodb.dk/products/body-gel-cosmetic-nanolia-pure-
silver-anti-redness http://intouch.nanolia.com/info
/index.php?p=88
estimated <1% <1g / 1-10 g Hours Daily All dermal
Silber-Crème
50-500 ml
specified Suspended in cremel
Applied on skin, leave on
Colloidal silver
http://nanodb.dk/products/silber-creme http://www.schuhma-
naturprodukte.de/naturkosmetik/silber-creme/
estimated <1% <1g / 1-10 g Hours Daily All dermal
35
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Silber-
DeoSpray
120 ml
Specified Liquid / aerosol Colloidal silver
http://nanodb.dk/products/silver-deo http://www.schuhma-naturprodukte.de/naturkosmeti
k/silber-deo-spray/
estimated Applied on skin by pump spray, leave on
<1% <1g / 1-10 g hours daily all Dermal (inhalation)
Dentasil Gel
Approx. 100 ml
specified Suspended in liquid silver http://nanodb.dk/products/den
tasil-gel estimated For flushing of the
oral cavity <1% <1g / 1-10g minutes daily all Oral, dermal
Nano Gold 24
Hour Facial
Cream
20-100 ml
Specified Suspension in liquid gold
http://nano.taenk.dk/da/products/nano-gold-24-hour-cream
Estimated Applied on skin, leave on
<1% <1 g /1-10g hours daily adults dermal
LEOREX Anti-
Aging Face-
specified Silicon
http://nano.taenk.dk/da/products/leorex-cosmetics
36
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Renewal
Cream, 60 ml
Estimated 1-10%
<1 g /1-10g
hours Daily Adults Dermal
LEOREX™ Eye
Gel Gold
30 ml
Specified Liquid/gel Silicon
oxide
http://www.leorex-
cosmetics.com/products/LEOREX%E2%84%A2+Eye+Gel+Gol
d.html Estimated Applied on skin
around eye leave on
1-10% < 1g hours daily women Dermal (eye)
Neosine Spray
Forte 50ml
specified Suspended in liquid in pump spray
silica https://www.neosino.at/products/gesichtspflege/spray-forte-
50ml
estimated Sprayed on skin, leave on
1-10% <1g/1-10 g hours Daily all Dermal, (inhalation)
37
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Platinum Silver
Nanocolloid
Cream
antiwrinkle,
40g
specified Crème Applied on skin,
leave on
Plati-num and Silver
http://nano.taenk.dk/da/products/platinum-silver-nanocolloid-cream
http://www.dhccare.com/DHC/ProductDetail.aspx?ProductID=
3002
Estimated <1%
<1g/1-10g
hours daily adults dermal
Sircuit White
Out
15 ml
specified Suspension in liquid Fullere-ne
http://nano.taenk.dk/da/products/sircuit-white-out
http://www.amazon.com/Sircuit-Skin-White-Out-0-
5/dp/B000NPWJZG
Estimated Applied on skin
around eyes, leave on
<1% <1g/1-10g hours daily Adults dermal (eye)
38
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Revite,
NANOTECHNO
LOGY Hair
Growth
Stimulating
Shampoo, 190
ml
Specified Suspended in liquid Nano copper Peptides
http://nano.taenk.dk/da/products/revite-nanotechnology-hair-growth-stimulating-
shampoo
http://www.makemeheal.com/mmh/product.do?id=93034&ut
m_source=google&utm_medium=product&utm_campaign=go
ogleproduct
Estimated Applied to skin and hair
Wash-off
<1%
1-10g/>10g
Minutes Daily Adults Dermal
Doctor
Gunderson's
Rãahj Nano
Copper Facial
Spray, Pump
spray 28 g
specified Suspension in liquid,
Copper Direct leave on
http://nano.taenk.dk/products/doctor-gundersons-raahj-nano-
copper-facial-spray
Estimated Spray onto hands face,
leave on
1%/1-10% <1g/1-10g hours Daily Adults Dermal/ Inhalation
39
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Soltan® Facial
Sun Defence
Cream -
Optisol® >100
ml
Specified Suspended in liquids
Titanium dioxide
http://www.nanotechproject.org/cpi/products/soltan-r-facial-sun-defence-cream-optisol-r/
Estimated Applied onto the skin, leave on
1-10% 1-10g/ >10g hours daily All Dermal (oral)
“Face
powder” 15 g
Specified powder Titanium
dioxide
*Example based on data from Danish EPA (draft 2013),
without specific naming
Estimated Applied in skin by brush or cotton pad
Up to 3% <1 g hours daily Women Dermal (inhalation, oral)
Nano-Peptide,
Natural
Eyelash
Conditioner
5ml
Specified Nano-peptides
http://www.lashfood.com/r/productsp.php?p=28
Estimated Suspended in liquid
Applied to the
eyelash by brush, leave on
<1% <1 g Minutes/ho
urs
Daily women dermal, eye
40
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Lash food
conditioning
drama mascara
waterproof ,8
ml
Specified Nano-peptides
http://www.lashfood.com/r/productsp.php?p=41
Estimated Suspended in paste
Applied on eye lashes by brush ,
leave on
<1% < 1g hours Daily Women Dermal, eye
“Mascara”*
10 ml
Specificied Suspended in a
paste
Carbon
black
Up to 5%
*Example based on data from Danish EPA (draft 2013),
without specific naming
Estimated Applied by brush, leave-on
<1g hours daily women Dermal. eye
Daylong Kids
SPF 30
100, 200 ml
Specified Suspended in liquid zinkoxid http://www.bund.net/nc/themen_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_
pi1%5Bitem%5D=1206&kategorie=10&unterkat=48&msb_pr
oduct_submit=suchen
Estimated Applied on skin,
Leave on
(1-10%) >10g hours daily children Dermal, oral
41
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Daylong
extreme Stick
SPF 50+
Apprx 10-20
ml
Specified Supended in stick; semisolid matrix,
Titanium dioxide
http://www.bund.net/nc/themen_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_pi1%5Bitem%5D=1204&kateg
orie=10&unterkat=48&msb_product_submit=suchen
Estimated Applied on the facial skin incl. lips,
leave on
1-10% <1g hours daily all Dermal., oral
NIVEA SUN
Kids
Pflegendes
Sun Spray
LF50+
specified Suspended in liquid Siliziumdioxid,
Titandioxid
http://www.bund.net/nc/themen_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_
pi1%5Bitem%5D=510&offset=3&kategorie=10&unterkat=48
&msb_product_submit=suchen
estimated Sprayed on hands/
body, leave on
1-10% >10g hours daily children Dermal, oral
(inhalation)
Swiss Dent –
Nanowhite-
specified Suspended in creme
Calciumperoxide
http://www.bund.net/nc/themen_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_
42
Cosmetics (intended, direct exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
ning -
Zahncreme
100ml
estimated <1%/1-10% <1g/1-10g minutes Daily adults Oral (dermal) pi1%5Bitem%5D=424&freitext=zahncreme&kategorie=10&unterkat=48&msb_product_subm
it=suchen
http://shop.essenza-nobile.de/kosmetik-online-
shop/Swiss-Dent-Dental-Cosmetics/Swiss-Dent-
Nanowhitening-Zahncreme.html?cSEOid=8b0320c9d1140cd79ba03a2315ff2b
4c
43
Overall findings
In the examples found in the table the following nanomaterials have been found in the cosmetic products:
Silver: in soap/ creams/ gels/ lotions for dermal application. Also in mouth wash solution and in toothpaste
Gold: in cream for facial dermal use
Platinium: in cream
Fullerenes: in cream at dermal application in eye region
Nano-peptides: in mascara for eye lashes
Silicium dioxide: in sunscreen cream and in liquid preparations for application in face and eye region
Zinkoxide: in sunscreen
Titanium dioxide: in sunscreen, face powder
Calciumperoxide: in toothpaste
Copper & copper peptides: in shampoo and facial liquid preparations
Carbon black: mascara
For the far majority of the products the primary exposure route is the dermal route, whereas secondary routes are in relation to oral, inhalational and eye exposure. For
mouthwash solution (silver) and toothpaste (calciumperoxide) the primary route is the oral route.
For cosmetics the exposure is intended and the whole volume of a cosmetic is normally intended for e.g. dermal or oral exposure. For product that are ´leave on´ the products
stays on the body whereas most of the use volume from `rinse-off` products is washed off (e.g. soaps and shampoos) and exposure is limited to a much shorter duration.
It may be surprising that although pigments are used in a variety of cosmetics (e.g. mascara, lip stick, eye shadow, face powder etc.) this content seems not to have led to
inclusion of any cosmetics into the nanodatabases, although pigments are known to contain particles in nano size. Only few toothpastes occur in the databases even though it
has often been stated that they in general contain nanoparticles e.g. silica and titanium dioxide.
44
Cleaning agents 4.3
Cleaning agents (not intended, indirect exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/ Powder/Solid
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/ outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Nanotechproject database contains 115 products with specified nanomaterials belonging to the category Home and garden ‘cleaning’ subcategory. The Danish Nanodatabase contains reference to 129 products containing nanomaterials in the ‘Cleaning’ subcategory under ‘Home and garden’. The ANEC-BEUC inventory contains the subcategory ‘Home & garden’. The products are already identified in the two databases referred to above, and thus the inventory therefore does not provide additional information to the table. Product category/Products: Home and garden
Laundry Detergent – Irin
2 kg
Skin Care fabric softener for baby
clothes and underwear
Specified Suspended in liquid
Silver http://aekyung.en.ec21.com/Laundry_Detergent_Irin--
2_1586347.html
http://nanodb.dk/da/products/laundry-detergent-irin-0
Estimated <1% > 10g Minutes weekly
Indoor
All ages Dermal
(inhalation, oral)
45
Cleaning agents (not intended, indirect exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
NanoCover bath + tiles 75 ml
Sealing- and
cleaning product for bathrooms and
tiles
Specified Liquid 10-25 ml pr. m²
http://www.nanocover.dk/shop/nanocover-bad-fliser-180p.html
http://www.nanotechproject.or
g/cpi/products/bath-and-tilling-cleaner/
Estimated Applied with cloth
or alternative product with pump
spray
Unknown <1% Minutes to
Hours
Monthly/Yearly
Indoor
Adults Dermal
(inhalation/oral)
Poprang fabric
Softener with aroma capsules
1L (uncertain)
Textile softener for laundry
Specified
Suspended in liquid
Handling of Liquid
Silver http://www.nanotechproject.or
g/cpi/products/fabric-softener-nano-silver-650-poprang/
http://poprang.en.ec21.com/Fabric_Softener_Nano_Silver_6
50--952338_952354.html
Estimated <1% > 10g Minutes (handling
of product) / Whole
day (textile)
weekly
Indoor
Adults Dermal (oral, inhalation)
Flooring
treatment Vol?
Specified
Suspended in liquid Silica http://nanosafeguard.com/floo
ring_treatment.html http://www.nanotechproject.or
46
Cleaning agents (not intended, indirect exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Hydrophobic treatment, Coatings, and
Antimicrobial protection (form
of product unclear)
Estimated Procedure for application not specified (cloth,
sponge or spray)
Possibly additional material
as it is claimed
antibac-terial.
<1%/1-10% > 10g Minutes to Hours
Yearly Indoor
Adults Dermal (inhalation, oral)
g/cpi/products/flooring-treatment-absorbant-surfaces/
NanoLotus
Antidew Universal
100 – 500 ml Hydrophobic
treatment and cleaning in pump
spray
Specified
Suspended in liquid http://nanolotus.dk/forside/alle
-produkter/antidug-universal/
http://www.nanotechproject.org/cpi/products/glass-cleaner-universal/
Estimated Aerosol Unknown <1%/1-10% > 10g Minutes Weekly to
Monthly
Indoor
Adults Dermal (oral)
Nano Silver Wet Wipes
Wet wipes for
personal cleaning of all ages as well as any surface
Specified
Surface bound particles
Silver Dermal http://www.ecplaza.net/product/nano-silver-wet-wipes--
58974-344650.html
http://www.nanotechproject.org/cpi/products/nano-silver-wet-wipes/
Estimated Skin and surfaces <1% 1 - 10g Minutes Daily
Indoor
All ages
47
Cleaning agents (not intended, indirect exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
nanoCotz Colloidal Cleaner 0.5-10 l
Cleaning agent
with wide application areas
Specified
Suspended in liquid Unspeci-fied Nano micelles
https://www.facebook.com/Nanocotz
http://www.nanotechproject.org/cpi/products/nanocotztm-
colloidal-cleaner/ Estimated Application as liquid
using cloth or
sponge
<1%/1-10% > 10g Minutes Weekly
Indoor/outdoor
Adults Dermal (oral)
SGG BIOCLEAN
Photocatalytic titania coating embedded in self-
cleaning surface of outdoor window
glass.
Specified
embedded in window glass
Titanium dioxide
Outdoor http://uk.saint-gobain-glass.com/product/670/sgg-
bioclean http://www.nanotechproject.or
g/cpi/products/sgg-bioclean/ Estimated <1%/1-10% > 10g Minutes Monthly/Yearly Adults Dermal (oral,
inhalation)
NANOTEC -
Sanitizer NPS 200
Anti-bacterial
cleaning agent in pump spray with wide application
areas
Specified
Suspended in liquid Silver http://www.nanotec.pl/en/inde
x.php?go=produkty&id=nanotec_sanitizer
http://docshare.beuc.org/Com
mon/GetFile.asp?ID=44567&mfd=off&LogonName=Guesten
http://nanodb.dk/products/nan
Estimated Aerosol <1% > 10g Minutes Weekly
Indoor
Adults inhalation (dermal, oral)
48
Cleaning agents (not intended, indirect exposure by use)
1
Product name, volume and
type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
otec-sanitizer-nps-200
Overall findings In the area of cleaning agents, three different product types were observed: liquid, spray, and cloth/wipe-based products. The identified active nanomaterial ingredients were either silver (Ag), TiO2, silica, and micelles. Since the nanomaterials were reported in many of these products, the concentrations may exceed 1 wt%, in spite less than 1 wt% is expected in most Ag-based nanomaterial products. The most important exposure routes were inhalation and possibly dermal and subsequent accidental oral exposure. The volume expected to be used during use of the products is typically greater than 10 g. The typical exposure duration will last minutes, but in some cases the post application stage can result in exposure for days. This is especially the case with treated textiles.
49
Coating, impregnation 4.4
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/ outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Danish Nanodatabase contains reference to 22 products belonging to the coatings and impregnations category. The nanomaterials are not known for most of the products, the only identified material is silver. In the BUND database coatings and impregnation products are not grouped together but can be found in categories such as “leisure” or “paint and laquers”, which contains coating and impregnation products mostly also identified in the Danish database. The ANEC-BEUC inventory contains a subcategory coating under the crosscutting category. For most of the products, the nanomaterials are not identified. The identified nanomaterials are mostly silver. The inventory therefore does not add any additional information to the table. The Nanotechproject database contains 86 products under the coating category of which 29 products with named nanomaterial of which many of these were pre-surface treated devices or impregnation products found out-site Europe. Product category/Products: Coatings/Impregnation
WoodProtector
Coating, 1000 ml
Specified Liquid
NI http://nano.taenk.dk/da/produ
cts/woodprotector http://www.jamestowndistribut
50
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Surface treatment of teak on boats
Estimated Applied as liquid <1%/1-10% > 10g Minutes/ Hours
Monthly/ Yearly
outdoor
Sportsmen/hobby/All ages
Dermal ors.com/userportal/product.do?part=142947&BASE
Percenta AG
Nano Synthetic Material Sealant,
1000 ml, Easy to clean
surface
specified Liquid Titanium
dioxide Pr. P
Size:2.0 nm.Sec. P Size: 6.0 nm. Anatase.
http://shop.percenta.com/nano
-plastics-coating-50ml-nanotechnology-
60.html?shop=373a71bf445ee32d334f4fe5f68b8228
estimated Is sprayed <1; 1-10% >10 g minutes Monthly/ yearly
indoor
adults Dermal-inhalation
Nano waffenspray
100 -200 ml Gun oil
specified Liquid/ aerosol Teflon; polytetra
fluoroethylene
http://www.cs-nanoshop.de/product_info.php
?products_id=38
estimated Is sprayed <1; 1-10% 1-10 g minutes Monthly
indoor
sportsmen Dermal- inhalation
51
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
NanoSafeguard Countertop Treatment
Apprx 1 L Easy to clean
surface
Specified Liquid silicondioxide
http://www.nanosafeguard.com/countertop_treatment.html
estimated Is sprayed <1; 1-10% 1-10 g/ > 10 g
minutes Monthly indoor
adults Dermal-inhalation
NanoSafeguard Self-Cleaning Window
Treatment, apprx 60 ml
Specified liquid Titanium dioxide
http://www.nanotechproject.org/cpi/products/self-cleaning-
window-treatment/ http://nanosafeguard.com/self
_cleaning_window_treatment.html
estimated Is sprayed <1; 1-10% 1-10 g/ > 10 g
minutes Monthly
outdoor
adults dermal
TextileProof+
active Water proofing
250 -1000 ml
Specified Liquid/ aerosol
NI
http://nano.taenk.dk/da/produ
cts/textileproofactive http://www.bike-
discount.de/shop/a6393/textile-proof-active-250ml.html?lg=en
Estimated Is sprayed <1%/1-10% 1-10 g/>10g Hours Monthly/ Yearly
indoor
Sportsmen/hobby
Inhalation-dermal
52
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Select Super
Protector with
Nano Particles Shoeshine
(200 g)
Specified Liquid/aerosol
Nanoparticles indicated
http://nano.taenk.dk/da/products/select-super-protector-with-nano-particles
http://www.kiwishoeshine.com/KIWI-Select-Super-Protector-
with-Nano-Particles-7-oz_p_479.html
Estimated Is sprayed <1%/1-10% <1g/1-10g minutes Weekly/ Monthly
indoor
Adults Inhalation-dermal
NoFog+clean 20 ml
Anti-fog treatment
on goggles and windows
Specified
Liquid/aerosol NI http://nano.taenk.dk/da/products/nofogclean
http://www.bike-discount.de/shop/a50024/no-
fog-clean-20ml.html?lg=en
Estimated Is sprayed
<1/1-10% <1g/1-10g
minutes Weekly
indoor
Adults/ sportsmen
Inhalation-dermal
Nanowax Ski
wax 50 ml
Specified Liquid/aerosol NI
http://nano.taenk.dk/da/produ
cts/nanowax http://www.tesmasport.si/pro-
3 Estimated Is sprayed <1/1-10% <1g/1-10g minutes Weekly
indoor
Adults Inhalation -dermal
53
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Nano Glass & Ceramics Coating
100 ml
Specified Liquid/aerosol NI http://shop.percenta.com/nano-glass-ceramics-coating-
100ml-nanotechnology-10.html?shop=820901dba8671
aa8c75346eb102ef65a%20[Page%20visited%20on%204%20
August%202010]
Estimated Is sprayed <1%/1-10% >10g minutes Monthly /yearly
indoor
Adults Inhalation-dermal
Nanotol the
universal
nano sealant 250 ml, 1000ml
For all smooth
surfaces e.g. cars, boats, indoor
Specified Liquid NI http://nano.taenk.dk/da/products/nanotol-the-universal-
nano-sealant
http://www.cenano.de/shop/Nanotol-sealant-for-all-smooth-
surfaces/Nano-vitrification-nanotol::320.html
Estimated Applied as liquid <1%/1-10% >10g Minutes/ho
urs
Monthly/
yearly
indoor
Adults dermal
Antibacterial
shoe deodorizer with silver ions
Specified Liquid/aerosol Silver http://nano.taenk.dk/da/produ
cts/antibacterial-shoe-deodorizer-with-silver-ions
54
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Estimated Is sprayed <1% <1g Minutes Weekly/ monthly
indoor
Adults Inhalation-dermal
Product could not be found on
the cenano.de website Several similar products exists on the market
Product category/Products: Paint
Herbol
Symbiotec, Farbe Outdoor
paint 5L; 12.5 L
Specified Liquid
Rolling/ spraying
Silicium
dioxide
http://www.bund.net/nc/them
en_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_pi1%5Bitem%5D=177&unterk
at=14&msb_product_submit=suchen
http://www.herbol.de/produkte/symbiotec.htm
Estimated 1-10% >>10g hours Monthly/ yearly
outdoor
Adults, Mainly
professionals, consumer cannot be
excluded.
dermal
Bioni
HYGIENIC®Multifunktionale
Innenbeschich-
Specified Liquid
Rolling/ spraying
silver
http://www.bioni.de/daten/PDB%20Bioni%20Hygienic.pdf
55
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
tung Indoor paint 5L; 10 L
Estimated <1% >>10g hours Yearly indoor
adults Mainly professionals,
consumer use cannot be
excluded.
dermal
TP2220 Primer Indoor/ outdoor primer paint 5 L Mainly for spray
application.
Specified Liquid
Spraying/ rolling
Titanium
dioxide particles
< 3nm
0.7-0.9%
http://www.bund.net/nc/themen_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_
pi1%5Bitem%5D=837&offset=1&unterkat=14&msb_product_submit=suchen
http://titanprotect.de/file/pdfs/
neu/PDB/PDB%20TP2221.pdf
Estimated >>10g hours Yearly
Indoor/outdoor
Adults Mainly
professionals, consumer use cannot be
excluded.
Inhalation- dermal
Product category/Products: Impregnation cloth
56
Coating, impregnation such as liquids, sprays, cloths and paint (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix*
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group.
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/ web-links
Liquid/Aerosol/
Crème/Paste/ Powder/Solid
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Nano lotus Cloths for sealing of car windows,
Repelling dirt and droplets
Specified
NI http://shop.bilvask.nu/nano-bilruder-1stk
Estimated Textile/ paper towel
containing impregnation
<1% <1g/1-10g minutes Monthly/yearly
outdoor
adults dermal
Overall findings
For many of the products identified, no specification of the actual nanomaterial could be found. The most abundant nanomaterial seems to be titanium dioxide, but also
silicium dioxide, silver and Teflon has been is observed. Only one product specifies the actual concentration of the nanomaterial, for the remaining products the estimated
concentrations are less than 10 %, with the most products estimated to have less than 1%. Duration of use of the products is estimated to minutes to hours, and frequency
estimated to monthly to yearly. The primary exposure routes for the NM exposure is the dermal routes and for products that are sprayed also the inhalation route.
57
Maintenance products 4.5
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
Application method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/ Indoor/
outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
The Nanotechproject database contains 18 products with specified nano materials belonging to the categories ‘Automotive-maintenance and accessories’, ‘Automotive-Watercraft’ and ‘Automotive-exterior’. The Danish Nanodatabase contains reference to 6 products belonging to maintenance and accessories category for automotive. For 3 of the products the nanomaterials are not known, and for the remaining 3 products the identified material is silver and titan. In the BUND database maintenance and accessory 165 products can be found under the category “auto/Motorräder” which contains maintenance and accessory products for cars and boats. Some of the products are already identified in the Danish database. Also some products for car maintenance are categorized as ‘other’. For most of the products the nanomaterial is not known and only silicium dioxide and silver is identified in 3 products. The ANEC-BEUC inventory contains the subcategory ‘maintenance and accessories’ under the ‘automotive’ category. The products are already identified in the Danish database, and thus the inventory therefore does not provide additional information to the table. Another product has been found on a company web-site referred to in the databases. Product category/Products: Maintenance products
58
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Top Efekt KOK
NANO
450-1000 ml Anti-reflecting
cleaning agent for cockpits, car
interior and other plastic surfaces
Specified Suspended in liquid Energetically mix
about 1 minute before use and then
spray
Silver http://nano.taenk.dk/da/produ
cts/topefektr-kok-nano
http://en.tenzi.pl/artyku%C5%82y/assortment/nanotechnolog
y/top-efekt-kok-nano Estimated <1% > 10g Minutes Monthly/
Yearly
Indoor
Adults Inhalation
(Dermal)
Textil Prot
NANO
500 -1000 ml Impregnates
textile and leather surface
Specified Suspended in liquid
Used as spray
Silver http://nano.taenk.dk/da/produ
cts/textil-prot-nano-silver
http://en.tenzi.pl/artyku%C5%
82y/assortment/nanotechnology/textil-prot-nano
Estimated
<1% >10g Minutes Monthly/
Yearly Indoor/Outdoor
Adults Inhalation
(Dermal)
59
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
FIBRIL nanotubes
Plastic compounds that are molded into automotive
parts
USA
Specified
Suspended in solid Carbon nanotubes
10 nm and length over 10 microns
Dermal http://www.nanotechproject.org/cpi/products/fibril-nanotubes/
http://hyperioncatalysis.com/a
utomotive2.htm
Estimated Solid matrix <1/1-10% <1/1-10g Minutes/H
ours
Monthly/Yearly
Indoor/Outdoor
Adults
Dermal/inhalation? Only
exposure from debris during
handling/ repair (is released during tear and
wear)
Nanoauto
Cockpit cleaner
100, 250 and 600
ml
Antimicrobial protection for
Specified
Silver http://www.nanotechproject.or
g/cpi/products/nanoauto-cockpit-cleaner/
http://nanoauto.eu/index.php?option=com_content&task=vie
w&id=108&Itemid=59
Estimated Suspended in liquid
Already mixed and
used as spray
<1/1-10% 1-10g Minutes Monthly/Yearly
Indoor
Adults Inhalation/derm
al
60
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
plastic parts of car interior
Poland
S.drive Tire
Car tires
USA
Specified
Suspended in solid Silicon
dioxide(20 nm spheres)
Dermal http://www.nanotechproject.or
g/cpi/products/s.drive-tire/ http://www.streetdirectory.co
m/travel_guide/49548/car_parts/how_yokohama_tires_have_
made_use_of_innovative_nano_technology.html
Estimated Solid matrix Consumers
changing tires with hands
1-10% 1g/1-10g Hours Yearly Outdoor
Adults/car owners
Exposure related to release.
Highest for consumers
changing their own tyres.
Sonax xtreme Polish & wax 3
250-500 ml
Specified
Aluminium oxide
http://www.nanotechproject.org/cpi/products/sonax-xtreme-
polish-wax-3-nanopro/
61
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Polish/coating for cars
Germany
Estimated Viscous solution (polish/wax)
Apply with sponge and microfiber cloth
<1/1-10% > 10 g Hours Monthly/Yearly Outdoor
Adults/car owners
Dermal (oral, inhalation)
http://www.sonax.com/Products/Xtreme-Series/%28search%29/1/%28s
o%29/1/%28node%29/12780/202100-SONAX-XTREME-
Polish-Wax-3
2C Auto Sealant
PRO
Apprx.100 ml
Sealant/coating and protection for cars
Specified
Liquid
Surface bound
particles after use
Energetically mix about 1 minute before use. Spray
or apply manually with sponge.
Silicon
dioxide
Yearly http://www.nanotechproject.or
g/cpi/products/auto-paint-gel-coat-treatments-2c-auto-
sealant-pro-fast-seal-2c-marine-sealant-pro/
http://nanosafeguard.com/auto_paint_gel_coat.html
Estimated <1/1-10% 1-10g/>10g Minutes/Hours
Yearly
Outdoor
Adults/car owners
Dermal /Inhalation
SI Extreme;
Versiegelung 20 ml
Specified
Nano-
ceramics
http://www.bund.net/nc/them
en_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_
62
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Maintenance for cars
Estimated Suspended in liquid <1/1-10% 1-10g/>10g Minutes/Hours
Monthly/Yearly Outdoor
Adults Dermal (oral, inhalation)
pi1%5Bitem%5D=114&kategorie=5&attribute=10&msb_product_submit=suchen
http://www.amazon.de/EXTRE
ME-Scheibenversiegelung-Car-fr%C3%BCher-
SichtKlar/dp/B001HIY3U2
Empox® 61
FreieSicht
Window coating for cars
Specified Silicium
dioxid
http://www.bund.net/nc/them
en_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_pi1%5Bitem%5D=959&kategorie=5&attribute=15&msb_produ
ct_submit=suchen
http://www.merkelcoatings.com/nano-spezial.htm
Estimated Suspended in liquid <1/1-10% 1-10g/>10g
Minutes/hours
Yearly Outdoor
Adults Dermal (inhalation)
Permanon car supershine
Bottle or large can
Specified Liquid
Apply as spray or suspended in liquid
Silicium dioxide
2-5% http://www.bund.net/nc/themen_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_
63
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Permanon car shampoo
Estimated Apply with a sponge or spray
1-10g/>10g Minutes/hours
Monthly/Yearly Outdoor
Adults Dermal Inhalation
pi1%5Bitem%5D=860&kategorie=5&attribute=15&msb_product_submit=suchen
http://www.yacht-
pflege.com/kfz.html
BORPover®
Coating for the
motor protection unit
Specified Nano
Boron
http://www.bund.net/nc/them
en_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_pi1%5Bitem%5D=106&kategor
ie=5&attribute=16&msb_product_submit=suchen
http://www.nnt-nano.com/index.php?id=borpo
wer
Estimated Suspended in liquid
Apply as spray
<1/1-10% <1g/1-10g Minutes/hours
Yearly
Outdoor
Adults Dermal
(Inhalation)
Odor OFF NANO
1L og 0,5L
Odor remover inside car
Specified Liquid
Energetically mix
about 1 minute before use and
apply as spray
Titanium
dioxide or silver
http://en.tenzi.pl/artyku%C5%
82y/assortment/nanotechnology/odor-off-nano
64
Maintenance products such as liquids, sprays, cloths and paint for cars and boats (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Estimated
<1/1-10% >10g Minutes/ hours
Monthly/Yearly Indoor
Adults Inhalation/ dermal
Overall findings
In the examples addressed in the table, the following nanomaterials have been found in the maintenance products:
Silver: In anti-reflecting cleaning agent, textile impregnation, antimicrobial protection for plastic parts of car interior, odor remover inside car
Silicium dioxide: In window coating for cars, car shampoo
Silicon dioxide: Car tires, sealant/coating and protection for cars
Aluminium oxide: In polish/coating for cars
Nano boron: Coating for the motor protection unit
Nano ceramics: In maintenance for cars
Titanium dioxide: In odor remover inside car
Carbon nanotubes: In plastic compounds that are molded into automotive parts
65
For the far majority of the products the primary exposure route is the dermal route, whereas secondary routes are in relation to oral or inhalational exposure. However, for
spray/pump products such as textile impregnation and products where they require mixing before use, such as cockpit cleaner, the primary exposure route is inhalation. The
latter are also assumed to cause the highest consumer exposures.
For maintenance products the exposure is unintended, except for the silver products where the antibacterial effect is applied. The consumers exposed will mainly be adults and
car owners, who use the maintenance products. The frequency of use will mainly be monthly or yearly for the maintenance products and the duration of the event will be
minutes or hours depending on the application.
66
Textiles 4.6
Textiles (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/ Powder/Solid
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/ outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Danish Nanodatabase contains reference to 3 textile products belonging to Home and furnishing category. The Health and fitness category contains 431 products, herein several textiles. The nanomaterials are not known for most of the products, the most commonly identified nanomaterial is silver. The clothing category contains 74 products. The nanomaterials are not known for most of the products, the most commonly identified nanomaterial is silver. One product is included as it also contains Titanium.
The BUND database contains about 130 products in the textile category. The nanomaterials are not identified in most of the products, silver is the most commonly used nanomaterial in the remaining products. No products have been selected for this table as products are considered covered by the Danish nanodatabase. The ANEC-BEUC inventory does not contain a separate textile category, textiles are presented under Health and fitness. The products are however similar to the products in the Danish nanodatabase.
The Nanotech project database contains 194 products in the clothing category, most are already covered by the products selected above, and when nanomaterial is identified, mainly
silver and titaniumdioxde is used. However in one product, Carbon nanotubes are reported, as used in a bullet proof safety west; Unisex centurion tactical vest, however the human
exposure is expected to be insignificant, therefore not included in the table.
Product category/Products: Textiles
67
Textiles (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Night Therapy Mattress Toppers with
Nano Silver
Specified silver http://nanodb.dk/da/products/night-therapy-mattress-
toppers-with-nano-silver
product could not be found at;
http://www.daysmobility.co.uk/Night_Therapy_Mattress_Topp
ers_with_Nano_Silver.htm
Estimated Surface bound <1% <1g Hours Daily
Indoor
All ages Dermal
PowerImpregna
tion+care Textile impregnation
Specified Liquid/Aerosol NI http://shop.pinbax.com/index.
asp?selection=detailed&uid=33304&itemtitle=PowerImpregnation
Estimated Applied by spraying 1-10 <1g/1-10g Minutes Monthly All ages Inhalation, Dermal
Nano-Flow Pillow
Specified Surface bound NI http://www.ihealthproducts.com/scripts/prodView.asp?idprod
uct=134 The product has changed name
to Nano-Sphere Pillow - Regular
Estimated <1% < 1g Days daily
All ages Dermal (oral
small children)
68
Textiles (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
ASAT Elite Basic Layer Crew
Specified Surface bound Silver http://www.abbeyarchery.com.au/p/ASEBLC3XL/ASAT+Elite+Basic+Layer+Crew.html
Estimated <1 <1g Hours Daily Sportsmen/Hobby
Dermal
Antibacterial Socks
Specified Surface bound Silver http://www.agactive.com/socks.html
Estimated <1% <1g Hours Daily All ages Dermal
GreenYarn Eco-
Fabric Polo Shirt
Specified Surface bound Bamboo
charcoal
http://www.greenyarn.com/tec
hnology.htm
Estimated <1% <1g Hours Daily All ages Dermal
SPORT COMPRESSION SOCK - Black
Specified Surface bound Polytetrafluoroethylene
>10% http://nanodb.dk/da/products/sport-compression-sock-black
69
Textiles (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Estimated <1g Hours Daily Adults/sportsmen
Dermal
Relaxed Plain Front Pant – Nanocare
Specified NI http://nanodb.dk/products/relaxed-plain-front-pant-nanocare
Estimated Surface bound <1g Hours Daily Adults Dermal
CW-X Conditioning
Wear Sports clothes
Specified Surface bound Silver Titanium
dioxide
Sportsmen http://nanodb.dk/products/cw-x-conditioning-wear
Estimated <1g Hours Daily Dermal
NI: not indicated
70
Overall findings
The most frequently used nanomaterial in textiles seems to be silver, due to the antimicrobial effect. A few products contain other nanomaterials such as bamboo charcoal,
Teflon and titanium dioxide, the latter as UV protection. For exposure to surface bound NMs it is difficult to express volume of exposure of product for use in a meaningful
manner and thus a value of <1 g is used in this table. The principal exposure route is the dermal route, however only low exposure levels may be assumed. Oral exposure may be
relevant for small children sucking the textile.
71
Construction materials 4.7
Construction materials (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/ Powder/Solid
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/web-links
Application method
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/
Indoor/outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
The Nanotechproject database contains 7 products belonging to the category ‘Home and garden – construction materials’. The products mainly contain silver, titanium dioxide and silicon dioxide. The Danish Nanodatabase contains 14 products in the category ‘construction materials’. The nanomaterial content is unknown for most of the products, but the identified nanomaterials are silver and phosphate. The BUND database contains 24 products in the category ‘baumaterialien’. The nanomaterial content is unknown for most of the products, but the identified nanomaterials are carbon nanotubes and silicium dioxide. The ANEC-BEUC inventory does not contain any of these products and thus does not contribute with information to the table. Other construction materials are found on the websites of companies.
Product category/Products: Construction materials
72
Construction materials (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Application method
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/
Indoor/outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
Pilkington ActivTM Self
Cleaning Glass,
Self-cleaning glass
UK
Specified Titanium dioxide
http://www.nanotechproject.or
g/cpi/products/pilkington-
activtm-self-cleaning-glass-1/
http://www.pilkington.com/ Estimated Solid
Coating
1-10% <<1g Seconds/Minutes
(Consumer touches
glass)
Daily/Weekly/Monthly
Outdoor
All ages Dermal
Zement
Dyckerhoff Nanodur,
Cement
Specified Silicium
dioxide
http://www.bund.net/nc/them
en_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_pi1%5Bitem%5D=862&kategorie=1&unterkat=16&msb_produ
ct_submit=suchen
http://www.dyckerhoff.de/online/Home/Zement/Premium-
Zement/NANODUR.html
Estimated Suspended in liquid
until end product where the cement
gets solid (suspended in solid
for the consumer)
1-10% >>10g Hours Daily/Weekly/Y
early
Outdoor/indoor
Mainly adults
consumers
Dermal,
inhalation
Floor, gap and
concrete sealer, Sealer
Specified Suspended in liquid
Used as spray
Unknow
n
http://nanodb.dk/da/products/
floor-gap-and-concrete-sealer
http://www.nanonordisk.com/?
id=14598&product_item_id=10735&product_subcat_id=931
Estimated 1-10% 1-10g Minutes/Hours
Monthly/Weekly/yearly
Outdoor/indoor
Mainly adults Dermal, inhalation
73
Construction materials (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Application method
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/
Indoor/outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
Alphasoil-06 Bodenstabilisati
on, Soil stabilization
Specified Suspended in liquid Unknown
http://nanodb.dk/da/products/alphasoil-06-
bodenstabilisation-0 http://www.nanodaten.de/uplo
ads/data_sheets/6638a634e84cd29491e9e448395632cd.pdf
Estimated Application:
Stabilization and improvement of soil
in relation to construction work
etc.
1-10% >10g Minutes Monthly/yearly Adults Dermal
(Inhalation)
Nano Stone,
Hydrophobic
treatment 100-1000ml
Specified Suspended in liquid Silicon
dioxide
Dermal,
Inhalation, Oral
http://www.nanotechproject.or
g/cpi/products/nano-steen-nano-stone/
http://www.nanotech-solutions.nl/nanoshop/nanocoa
ting-steen
Estimated Coating for protection of stones
and tiles
1-10% >10g Minutes Monthly/yearly Adults
EMACO®
NanoCrete R3 Reparaturmörtel
Mortar
25 kilo
Specified The nanostructures
are generated by adding
nanoparticles.
Unknow
n
http://www.bund.net/nc/them
en_und_projekte/nanotechnologie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_pi1%5Bitem%5D=1022&kateg
orie=1&unterkat=16&msb_product_submit=suchen
http://www.emaco-nanocrete.com/uploads/media/
NanoCrete_6-S_deutsch.pdf
Estimated 1-10% >>10g Minutes/H
ours
Monthly/yearly
Adults Dermal
(Inhalation)
74
Construction materials (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Application method
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/
Indoor/outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
Bioni Perform,
Facade protection
10 L
Specified Silver http://www.bioni.de/index.php?page=produktprogramm_fass
adenbeschichtung&lang=de
Estimated Suspended in liquid
Mixing before use
<1% >>10g Hours Yearly
Outdoor
Adults Dermal,
Inhalation
ECO-ACTIV,
Layer for roofs and pavements
Specified Titanium dioxide
http://www.icopal.de/
Estimated Suspended in solid 1-10% >>10g Hours Yearly
Outdoor
Adults Dermal
ThermoSan-
Fassadenputz NQG R und K,
Surface pus for buildings
20 kg
Specified Silicium
dioxide
(nano-quartz-
gitter)
http://www.caparol.de/produkt
e/putze-spachtelmassen/aussenputze/nqg-putze/thermosan-
fassadenputz-nqg.html
Estimated Suspended in liquid 1-10% >>10g Hours Yearly
Outdoor
Adults Dermal (Inhalation)
75
Construction materials (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
3
NM ID
4
Conc. of NM in
product
5
Volume of product
per use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Application method
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/
Indoor/outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
S-Pfanne mit ClimaLife,
Tile
Specified Titanium dioxide
http://www.nelskamp.de/no_cache/menue-
links/verarbeiter/produkte/dachsteine/s-pfanne-climalife.html?sword_list%5B%
5D=Pfanne
Estimated Suspended in solid 1-10% >> 10g Hours Yearly
Outdoor
Adults (Dermal)
Diamon-Fusion
Surface protection
Specified Suspended in liquid Unknow
n
http://nanodb.dk/da/products/
diamon-fusion
Estimated 1-10% 1-10g Minutes Monthly/yearly Adults Dermal (Inhalation)
76
Overall findings
In the examples addressed in the table, the following nanomaterials have been found in the construction materials:
Silver: In facade protection
Silicium dioxide: In plaster, cement
Silicon dioxide: In coating for stone and tile protection
Titanium dioxide: In tiles, layer for roofs and pavements, self-cleaning glass
Unknown nanomaterials: In surface protection, mortar, sealing and soil stabilization
For all of the products the primary exposure route is the dermal route (for cement also the inhalational route), whereas secondary routes are for the majority of the products in
relation to inhalational and oral. Most of the nanomaterial content is unknown.
For construction materials, the exposure is unintended and the consumer will only be exposed to part of the volume of the product. The duration of the exposure depend on
whether the product is a protection spray, which is quickly sprayed on the surface or whether it is construction material requiring handling such as tile. Consumer exposure
must be assumed to be much higher for nanomaterials in powders and liquids than for nanomaterials in solid matrices.
77
Medical devices 4.8
Medical devices (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix*
Liquid/Aerosol/ Crème/Paste/ Powder/Solid
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Nanotechproject database contains 161 personal care products with specified nano materials. The products are not relevant for the medical devices.
The Danish Nanodatabase only contains ‘personal care’ products, where only wound dressing is relevant for the medical devices category.
The BUND database contains 12 products in the category ‘Gesundheit’. The nanomaterials are not known for 5 of the products, the identified materials are silver, titanium dioxide and calcium.
The ANEC-BEUC inventory only contains cosmetics and personal care products and no medical devices. Thus, the inventory therefore does not contribute with any additional information to the table.
The DRAFT report from Teknologisk Institut on ‘Supplementary survey of products on the Danish market containing nanomaterials’ contains several products on medical devices.
Product category/Products: Medical devices
Dental filling
Specified Zirconia,
Silicate
Zirconia
(1%) Silicate (10-
20%)
DRAFT report from Teknologisk
Institut
Estimated Solid/paste
Added by Dentist with dentist tools
1-10g Application:
Minutes/hours
Yearly
Indoor
All ages, except small children
Oral
78
Medical devices (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix*
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
After
applications: 24-7
Acticoat Wound
dressing,
Wound dressing
Specified Surface bound Silver http://nanodb.dk/da/products/
acticoat-wound-dressings http://www.smith-
nephew.com/us/professional/products/featured-
products/acticoat/
Estimated Solid
Applied on skin to kill bacteria to
assist healing after burns
<1% 1g Minutes/Hours/Whol
e day
Yearly
Indoor
All ages Dermal
Hy ProtectTM,
Plasmabeschicht
ung für
Oberflächen von
medizinischen
Implantaten und
Instrumenten
Coating for
Specified Silver
<200 nm coating
http://www.bund.net/nc/themen_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_pi1%5Bitem%5D=21&kategori
e=11&unterkat=0&msb_product_submit=suchen
http://www.bio-
gate.de/page.asp?lang=d&main=1&did=514&sec=1&third=1
Estimated Suspended in liquid
Coating
<1% 1-10g (Application:
Minutes/hours)
The
consumer exposure
is after
Yearly
Indoor
All ages, mostly elderly
(Dermal)
“Systemic”
79
Medical devices (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix*
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
implants impalnatati
on:: 24-7
Ostomy bags
Specified Copper <0,0001% DRAFT report from Teknologisk Institut
Estimated Solid
Applied on stomach skin
>10g Hours/whole day
Daily
Indoor
All ages, but more elderly
Dermal
80
Overall findings
In the examples addressed in the table, the following nanomaterials have been found in the medical devices:
Silver: In wound dressing, coating for implants
Copper: In ostomy bags
Silicate: In dental filling
Zirconia: In dental filling
For the ostomy bags and would dressing the primary exposure route is the dermal route. For dental filling (silicate or zirconia) the primary route is the oral route. For coating
implants, the consumer exposure is “systemic”. The exposure conditions generally applies for all ages. However ostomy bags and implants will be used more often by elderly
people.
Except for dental fillings, the nanomaterials are added to enhance the antibacterial effect and thus the exposure is intended for the medical devices. For coating of implants and
dental filling the duration of the event is divided into ‘application’ and ‘after application’ since the dental filling or implants will be permanent embedded into the body.
However for the dentist or doctor the dermal exposure will be short term during application and during the coating of implants, only professionals will be exposed.
81
Air-cleaner sprays 4.9
Air-cleaner sprays (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
Application method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/ Indoor/
outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
The Nanotechproject database contains 96 products with specified nanomaterials belonging to category Home and garden ‘cleaning’ subcategory.
The Danish Nanodatabase contains reference to 129 products containing nanomaterials in the ‘Cleaning’ subcategory under ‘Home and garden’.
The ANEC-BEUC inventory contains the subcategory ‘Home & garden’. The products are already identified in the two databases referred to above, and thus the inventory therefore does not provide additional
information to the table.
Product category/Products: Home and garden
Odor Eliminator
4-12 Oz
(ca. 120-350 g) pump spray to
sprayed onto surface to prevent
bio-film formation and on treated
surfaces.
Specified Aerosol http://www.nanotechproject.or
g/cpi/products/g-scenttm-odor-eliminator/
http://nanodb.dk/da/products/
g-scent-odor-eliminator
http://www.getg.com/G-CLEAN/odor_eliminator.php
Estimated sprayed into air Declared: Plant Oil
Fatty Acids
Plant Oils Vegetable Extracts
1-10%; > 10%
> 10g Minutes weekly
Indoor
Adults Dermal and inhalation
82
Air-cleaner sprays (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
A/C & indoor climate purifier
150 ml spray can for one-term use
by continuous release for air-
purification in A/C, cars and indoor
environments
Specified Aerosol 5 min release
followed by working
period ranging
from 0 to half a day
http://nanolotus.dk/forside/alle-produkter/auto-cleaner-klima-
rens/
Estimated sprayed into air Silver or similar
NM with biocidal activity
<1% 150g Rare (maybe between
monthly and yearly)
Indoor
Adults Dermal and inhalation
Quan Zhou Hu Zheng Nano
Technology Co., Ltd.
AC liquid spraying filter for
antibacterial and deodorant
Specified Aerosol Silver http://www.nanotechproject.or
g/cpi/products/quan-zhou-hu-zheng-nano-technology-co-ltd-
r-ac-filter-liquid-antibacterial-and-deodorant-spray/ http://www.china-
nano.cn/product/detail_8552.js
Estimated Apparently sprayed into air (unclear
product and use description)
<1% 1 - 10g Minutes to Whole
Days
daily Indoor
All ages Dermal and inhalation
83
Air-cleaner sprays (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
treatment p
Oregon
Scientific Nano-Technology
Room Air Sanitizer
Nano-filtration
system
Specified Solid
http://www.nanotechproject.org/cpi/products/oregon-
scientific-r-nano-technology-room-air-sanitizer/
http://www.oregonscientific.com/us/en/Nano-Technology-
Room-Air-Sanitizer-WS907-P
Estimated Air-stream through filter
Silver <1%/ NA Hours to Daily
Daily for cleaned air; Every 3rd year
for filter replacement
Indoor
All ages Dermal (main exposure if filters are
changed manually)
Home Nano Tio2
Air Purification
4 stage catalytic home Nano TiO2 Air-purification
spray
Specified Aerosol Titanium
dioxide / Activated
Carbon
http://www.nanotechproject.org/cpi/products/home-nano-
tio2-air-purification/ http://www.alibaba.com/produ
ct-free/11848761/Home_ Nano_Tio2_Air_Purification.ht
ml
Estimated Sprayed into air <1%/1-10% < 10g Minutes weekly to yearly
Indoor
All ages Dermal and inhalation
84
Air-cleaner sprays (not intended, indirect exposure by use)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/
outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Air Sanitizer, Nano Silver Photocatalyst
100-1000 ml or
1.5 to 25 kg tank
Air-purification spray for indoor
office and households, as well as goods etc.
Specified Aerosol Silver dermal and inhalation
http://www.nanotechproject.org/cpi/products/air-sanitizer-nano-silver-photocatalyst/
http://web.archive.org/web/20
061004150907/http://www.aircleanermedium.com/Nano-
Silver-Photocatalyst.html
Estimated Sprayed into air or onto wetted
product
<1% from 1g to > 10g
Minutes weekly to yearly
Indoor
Adults
Overall findings In the area of air-cleaners and sprays, we find logically two principal technical types of nano-enabled products; namely solid state and spray-based air-cleaners. The active ingredients were either silver (Ag), TiO2, activated carbon or possibly plant oil fatty acids, plant oils vegetable extracts. Solid-state air-cleaning may be assisted by UV-light or ozone treatment. In two cases, other air-cleaning agents were reported. The most important exposure route were inhalation and dermal for sprays and dermal exposure for handling solid state air-cleaning systems (filters, filter changes). The typical volume used during use of the products is in the order of 1-10 g. In a few cases the actual exposure and exposure duration could be hours or longer.
85
Fuel and lubrication oil additive 4.10
Fuel and lubrication oil additive (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/ Powder/Solid
Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary exposure
route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Nanotechproject database contains 16 products with specified nano materials belonging to the category ‘Automotive-lubricants’ and ‘Automotive-maintenance and accessories’. The products mainly contain cerium oxide, gold and tungsten disulphide. The Danish Nanodatabase does not contain any of these products and thus does not contribute with information to the table. The BUND database does not contain any products in this category where the nanomaterial is known and thus does not contribute with information to the table. The ANEC-BEUC inventory does not contain any of these products and thus does not contribute with information to the table.
Product category/Products: Fuel and lubrication oil additive
EnviroxTM Fuel Borne Catalyst,
Diesel fuel additive
Specified Suspended in liquid Cerium oxide
5-10 ppm of cerium oxide in the fuel
Dermal, fuelling (Inhalation,
combustion product)
http://www.nanotechproject.or
g/cpi/products/enviroxtm-fuel-
borne-catalyst/
86
Fuel and lubrication oil additive (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
(catalyst)
UK
Estimated >10g Minutes/
Daily/Weekly
Outdoor
Mainly persons
>18 years
http://web.archive.org/web/20
070220222935/http://www.oxonica.com/energy/energy_envirox_intro.php
Nanostellar Catalyst
Materials,
Catalyst
Specified Gold http://www.nanotechproject.or
g/cpi/products/nanostellar-
catalyst-materials/
http://californiananoeconomy.org/content/nanostellar-0
Estimated Suspended in liquid
Added in fuel
1-10% <10g Minutes Daily/Weekly
Outdoor
Mainly persons >18 years
Dermal, fuelling
(Inhalation, combustion
product)
NanoLub© RC-X Engine,
Lubricant for
engine oil
Specified Suspended in liquid Tungsten
disulfide
Nanofilms 30-
70nm
2-7%
Dermal, http://www.nanotechproject.org/cpi/products/nanolub-c-rc-x-
engine/
http://www.apnano.com/products/lubricants/
Estimated >10g Minutes Monthly/yearly
Indoor
(Garage)/Outdoor
Mainly persons
>18 years
87
Fuel and lubrication oil additive (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Nano Engine Oil,
Engine oil (Taiwan)
Specified Suspended in liquid Gold
90nm
50 millions
Nano-bearing per sq. mm.
http://www.nanotechproject.or
g/cpi/products/nano-engine-oil/
http://web.archive.org/web/20060822220459/http://www.ss
nano.net/ehtml/detail1.php?productid=78
Estimated >10g Minutes Monthly/Yearly
Indoor (Garage)/Outd
oor
All ages Dermal,
88
Overall findings
In the examples addressed in the table, the following nanomaterials have been found in fuel and lubrication oil additive products:
Gold: in engine oil and as fuel catalyst
Cerium oxide: as diesel catalyst
Tungsten disulfide: as lubricant for engine oil
For all of the products the primary exposure route is the dermal route during fuelling/addition of oil. The product can be added either indoor in a garage or outside on a service
station.
The primary route related to combustion of the diesel would be the inhalational route. The latter is relevant for the general population (all ages) and not just the consumers
fuelling the vehicles.
The exposure to the products/combustion products is any case unintended.
Fuel is added regularly and the frequency of the exposure will be daily or weekly depending on the driving habits. Engine oil is added less frequently and the frequency of the
exposure is therefore monthly or yearly. Exposure to traffic exhaust is very frequent/almost continuous and this is covered in another section of this project.
89
Electronic devices 4.11
Electronic devices such as computers and smaller electronic devices (does not include appliance such as hair straighteners, washing machines etc.) (Indirect exposure)
1
Product name, volume and
type
2
Formulation/
matrix Liquid/Aerosol/ Crème/Paste/
Powder/Solid
3
NM
ID
4
Conc. of
NM in product
5
Volume
per use
6
Duration
per event
7
Use
frequency and site of use
8
Consumer
group
9
Primary
exposure route(s)/ (secondary
exposure route)
10
Comments/web-links
Application
method
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
The Nanotechproject database contains 40 products with specified nano materials belonging to the category ‘electronics and computers’. Most of the products contain NMs in solid matrices. It does not contribute with new exposure scenarios compared to the Danish Nanodatabase. The products mainly contain silicon, silicon dioxide, copper, carbon nanotubes, silver, titanium dioxide and cobalt. The Danish Nanodatabase contains reference to 62 products belonging to the ‘electronics and computers’ category. The nanomaterials are not known for most of the products, the identified materials are silver, silicium, lithium and titandioxid. The BUND database contains 12 electronics products. The nanomaterials are not known for most of the products, the identified materials are siliciumdioxide, silver and gold. The ANEC-BEUC inventory contains only one product in the subcategory electronics and this is categorized under the crosscutting category. The product contains nano silver and is already identified in the Danish database. Thus, the inventory therefore does not contribute with any additional information to the table.
Product category/Products: Electronic devices
90
Electronic devices such as computers and smaller electronic devices (does not include appliance such as hair straighteners, washing machines etc.) (Indirect exposure)
1
Product name, volume and
type
2
Formulation/
matrix Liquid/Aerosol/
Crème/Paste/ Powder/Solid
3
NM
ID
4
Conc. of
NM in product
5
Volume
per use
6
Duration
per event
7
Use
frequency and site of
use
8
Consumer
group
9
Primary
exposure route(s)/
(secondary exposure route)
10
Comments/web-links
Application
method
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Keyboard ‘Tasto’
waterproof, Waterproof
keyboard with antibacterial
properties
Specified Surface bound Silver Doctor’s offices,
hospitals, nursing homes, production
facilities, schools, hotels
and for demanding
consumers.
http://nano.taenk.dk/da/produ
cts/keyboard-tasto-waterproof
http://www.yapii.de/VCM-
Tastatur-Tasto-1-wassserdicht-Weltneuheit-Preisvergleich-
159382.html
Estimated Solid <1% <<1g Hours Daily
Indoor
Dermal
Intel Pentium D
Processor
Specified Structured film Silicon http://nano.taenk.dk/da/produ
cts/intel-pentium-d-processor
http://www.amazon.com/Intel-
Pentium-3-4Ghz-Fsb800Mhz-Lga775/dp/B000IEO964
Estimated Solid
Silicon
dioxide
1-10% <1g Minutes/H
ours (but normally no contact
with processor)
Monthly/
Yearly (but normally no contact with
processor)
Indoor
Dermal (only in
case of consumer intervention in
the PC)
Product category/Products: Maintenance products for electronic devices
91
Electronic devices such as computers and smaller electronic devices (does not include appliance such as hair straighteners, washing machines etc.) (Indirect exposure)
1
Product name, volume and
type
2
Formulation/
matrix Liquid/Aerosol/
Crème/Paste/ Powder/Solid
3
NM
ID
4
Conc. of
NM in product
5
Volume
per use
6
Duration
per event
7
Use
frequency and site of
use
8
Consumer
group
9
Primary
exposure route(s)/
(secondary exposure route)
10
Comments/web-links
Application
method
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Furutech Gold-
Silver Nano Liquid Kontaktvergröß-
erer
Appx, 10-20 ml
Maintenance and
protection coating
for metal surfaces
Germany
Specified Liquid
Gold and
silver 8nm
http://www.bund.net/nc/them
en_und_projekte/nanotechnolo
gie/nanoproduktdatenbank/pro
duktsuche/?tx_mspproductdb_
pi1%5Bitem%5D=444&kategor
ie=9&unterkat=0&msb_produc
t_submit=suchen
http://www.dienadel.de/Furute
ch+Gold-Silver+Nano+Liquid+Kontaktv
ergroesserer.htm
http://www.furutech.com/2013/01/18/1647/
Estimated Assumed to be applied by
consumer with a small brush or in
droplets
<1% <<1g Minutes Monthly/Yearly
Indoor
Adults Dermal
Ice Dragon Cooling
nanofluid
Specified Suspended in liquid Zinc Oxide
http://www.nanotechproject.org/cpi/products/ice-dragon-
cooling-nanofluid/ http://www.frozencpu.com/pro
92
Electronic devices such as computers and smaller electronic devices (does not include appliance such as hair straighteners, washing machines etc.) (Indirect exposure)
1
Product name, volume and
type
2
Formulation/
matrix Liquid/Aerosol/
Crème/Paste/ Powder/Solid
3
NM
ID
4
Conc. of
NM in product
5
Volume
per use
6
Duration
per event
7
Use
frequency and site of
use
8
Consumer
group
9
Primary
exposure route(s)/
(secondary exposure route)
10
Comments/web-links
Application
method
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
32oz
Electronic cooling
liquid
USA
Estimated Assumed to be
applied by consumer from bottle
1-10% 1-10g Minutes Monthly/Yearly
Indoor
Adults Dermal
(Oral, inhalation)
ducts/15033/ex-liq-
203/Ice_Dragon_Cooling_Nanofluid_Coolant_White_Color_-_32oz.html
93
Overall findings
In the examples addressed in the table, the following nanomaterials have been found in the electronic devices:
Silver: in computer keyboard and protection coating for metal
Gold: in protection coating for metal
Silicon dioxide: In processor
Zincoxide: in cooling liquid
It is also known that Carbon nanotubes are used in electronics (e.g. in semi-conductors and other solid matrices)
For all of the products, the primary exposure route is the dermal route, whereas secondary routes are in relation to oral and inhalational exposure.
For the cooling liquid, to be applied from the bottle, actual consumer exposure is expected. For the keyboard where the nanomaterials are added for antibacterial purposes,
exposure may also take place. The frequency of the exposure is expected to be monthly or yearly and thus limited, except for the keyboard, which will be used daily. The
consumer exposure to nanomaterials in solid matrices (e.g. the processor) would require consumer intervention into the computer.
94
Appliances 4.12
Appliances (include large appliances such as washing machines and smaller appliances such as hair straighteners) (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid
Application method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value or range
[<1, 1-10, >10%]
Exact value or range
[<1g, 1-10g, >10g]
Minutes/ Hours/
Whole day
Daily/ Weekly/ Monthly/
Yearly/ Indoor/outdoor
All ages/Children/
Adults/Sportsmen/Hobby
Oral/ Dermal/ Inhalation
The Nanotechproject database contains 32 products with specified nano materials belonging to the category ‘appliances’. Most of the products contain NMs in solid matrices. It does not contribute with new exposure scenarios compared to the Danish Nanodatabase. The products mainly contain silver, titanium dioxide, iron, carbon, gold, titanate and cobalt. The Danish Nanodatabase contains reference to 54 products belonging to the ‘appliance’ category. The nanomaterials are not known for 4 of the products, the identified materials are silver, phosphate and gold. The BUND database contains 19 products in the category ‘Haushaltsgeräte’. The nanomaterials are not known for 8 of the products, the identified materials are silver, nano-ceramics, titanium dioxide and polyetherketon. The ANEC-BEUC inventory contains 47 products in the category ‘appliances’. All of the products contain nano silver. Thus, the inventory does not contribute with any additional information to the table.
Product category/Products: Appliances
Samsung Refrigerator,
Specified Surface bound
Coating on the inner surface of the
refrigerator
Silver http://nanodb.dk/da/products/
samsung-refrigerator
http://www.samsung.com/sg/c
95
Appliances (include large appliances such as washing machines and smaller appliances such as hair straighteners) (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Refrigerator
As air circulates, the coated surfaces allow the silver ions
to control the airborne bacteria.
onsumer/learningresources/silv
ernano/silvernano/refigerator.html
Estimated Solid, <1% <<10g Hours/Whole day
Daily
Indoor
All ages (Dermal) (oral)
LG Refrigerator Specified This nano-carbon
deodoriser with
Green Catechine is located at the air
circulation
Carbon http://www.lg.com/sg/support-product/lg-GR-M4924CPN
Estimated Solid matrix <1% <<10g Hours/Who
le day
Daily
Indoor
All ages (Dermal)
(oral)
Haier
Refrigerator
Specified Solid matrix
The ‘Nano Ferrite Filter’ inbuilt in the
refrigerator creates a magnetic field of Nano Ferrite, which
provides intelligent filtering
Iron http://www.businesswireindia.c
om/PressRelease.asp?b2mid=30471
96
Appliances (include large appliances such as washing machines and smaller appliances such as hair straighteners) (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
Estimated ??? ??? Whole day Daily All ages Oral
Bielmeier
Luftbefeuchter BHG 558, Air humidifier
Specified Surface bound
Plastic parts are coated with nano-
silver
Silver http://nanodb.dk/da/products/
bielmeier-luftbefeuchter-bhg-
558
http://www.bielmeier-
hausgeraete.com/en/Air-Huidifier/BIELMEIER-Humidifier-BHG-558.html
Estimated Solid
<1% <<1g Minutes/H
ours
Monthly/
Yearly
Indoor
Inhalation
(Dermal)
Daewoo
Washing Machine,
Washing machine
Specified Silver http://nanodb.dk/da/products/
daewoo-washing-machine
http://www.daewooelectronics.com.au/about_dec.asp
Estimated Solid, probably as a
coating
<1% <<1g Hours Daily
Indoor
All ages (Dermal)
Alu pan "silver nano" - the
healthy pan Kitchen ware
Specified Solid Surface bound
Silver http://nanodb.dk/products/alu-pan-silver-nano-the-healthy-
pan
http://www3.westfalia.de/shops/haushalt/kochgeschirr/toepfe
_/?pid=728571
Estimated Minutes/hours
Daily All ages Oral
97
Appliances (include large appliances such as washing machines and smaller appliances such as hair straighteners) (Indirect exposure)
1
Product name, volume and type
2
Formulation/ matrix
Liquid/Aerosol/ Crème/Paste/
Powder/Solid Application
method
3
NM ID
4
Conc. of NM in
product
5
Volume of product per
use
6
Duration per event
7
Use frequency
and site of use
8
Consumer group
9
Primary exposure
route(s)/ (secondary
exposure route)
10
Comments/web-links
Exact value
or range [<1, 1-10,
>10%]
Exact value
or range [<1g, 1-
10g, >10g]
Minutes/
Hours/ Whole day
Daily/ Weekly/
Monthly/ Yearly/
Indoor/outdoor
All
ages/Children/ Adults/Sportsm
en/Hobby
Oral/ Dermal/
Inhalation
(currently not available at
webshop)
Nano-San® Anti-bacterial
gastronomy mat Kitchen ware
Specified Surface bound Silver http://www.nanotechnologie-
sozamex.com/gastronomie/45-nanosan-gastronomie-classe-
30.html
Estimated <1% Minutes/hours
Daily Adults Oral/Dermal
Primea Touch
Plus Cappucino
maker
Specified Surface bound silver http://www.bella-
italia.com/gondola/coffee/index19a.shtml
Estimated Hours Daily Adults Oral
98
Overall findings
In the examples addressed in the table, the following nanomaterials have been found in the appliance products:
Silver: in refrigerator, air humidifier and in washing machine, and iron and carbon in refrigerators
For the far majority of the products the primary exposure route is the dermal route, whereas secondary routes are in relation to oral or inhalational exposure. This applies for
the refrigerators and the air humidifier.
For appliances, the use of silver as biocide will lead to some release of silver (as silver ions and perhaps as nano-silver) and thereby some exposure. The exposure is difficult to
estimate but assessed to be low, since e.g. for the washing machine <1mg of silver will be released during a washing event and also for when touching the refrigerator.
99
Appendix 5 - Model reviews – 5.
Templates with assessment for each
model against the model assessment
criteria
Each identified method/tool has been assessed against the model assessment criteria implemented
in a template. Thus, the sub-seqeunt 10 templates address:
NanoRiskCat (DTU and NRCWE)
NanoSafer (NRCWE, DTI)
Stoffenmanager Nano (TNO)
Stoffenmanager (TNO)
The ANSES tool
Swiss Precautionary Matrix (Swiss consortium)
ECETOC TRA
ConsExpo (RIVM)
DREAM (TNO and IOM)
Margin of Exposure (MOE) concept (The US Soap and Detergent Industries)
Each template consists of: A summary
An initial overview of the context of the method/tool (developed by whom, for which
purpose, etc.).
The actual evaluation of the tool, structured around four questionnaires:
o General input model for NM/product characteristics
o Exposure module(s)
o Hazard module
o Output / risk characterization / risk management module
Some questionnaires are not relevant for all methods/tools as for example hazards are not
addressed in all methods tools. In this case, the detailed questions have not been answered and
therefore deleted.
100
NanoRiskCat 5.1 The tool is available from: Hansen, SF, Jensen, KA, Baun, A. accepted. NanoRiskCat - A Conceptual Tool for Categorization
and Communication of Exposure Potentials and Hazards of Nanomaterials in Consumer Products.
Journal of Nanoparticle Research.
The first version was published by Hansen, S.F., Baun, A., and Jensen, K.A., 2011. NanoRiskCat. A
Conceptual Decision Support Tool for Nanomaterials. Environmental Project 1372, 86 pp.
In addition, the following background material is referred to in this template: Hansen, S.F., Larsen, B.H., Olsen, S.I., Baun,A., 2007. Categories and hazard identification scheme of nanomaterials. Nanotoxicology, 3, 243-250. Hansen, S.F., Michelson, E., Kamper, A., Borling, P., Stuer-Lauridsen, F., Baun, A., 2008. Categorization framework to aid exposure assessment of nanomaterials in consumer products. Ecotoxicology, 17/5, 438-447. Tran, C.L., Hankin, S.M., Ross, B., Aitken, R.J., Jones, A.D., Donaldson, K., Stone, V., Tantra, R., 2008. An outline scoping study to determine whether high aspect ratio nanoparticles (HARN) should raise the same concerns as do asbestos fibres. Report on Project CB0406, August 13, 55 pp. ECHA, 2010. Guidance on information requirements and chemical safety assessment. Chapter R12 Use descriptor system Version: 2. March 2010.
101
Summary
The tool covers/addresses (tick or leave empty):
A general input module
Exposure-dermal module
Exposure-oral module
Exposure – general inhalation
module
Exposure - spray module
Hazards module
Output module
No, as the system is not
a web-tool, the data are gathered as
information to follow the binary
“decision” logics of the system.
x (part of the generic modul) x (partly qualitative
as the quality and reliability of
the scientific information sometimes
has to be evaluated)
x Colour-scaled Risk
Categorization assessing potential
exposure to professional end-user,
consumers and the environment
as well as ranking of the known hazard
of the nanomaterial in the product
1. Type of tool
NanoRiskCat is a not a risk assessment tool and therefore the tier level may be preceeding tier 0. It is
a risk categorization tool that can be applied for screening purposes and communication of knowledge
in between producers and authorities as well as consumers if needed.
2. Input parameters
The system follows a systematic approach and requests a clear description of the product, the
nanomaterial therein and the use of the product.
For exposure assessment, a simple categorization of the possibility for exposure is made according to
the physical location and state of the nanomaterial as described in Hansen et al. (2007; 2008) and
assessment of the potential release and exposure during intended use and potential manipulation of
the product/article. Based on this procedure, the possibility for exposure is selected from 4 predefined
categories: Unknown, low, medium, and high exposure potential for the professional end-user,
consumers, and the environment, respectively. If release or exposure data do exist these data shall
be used for the qualitative categorization. The final output agglomerates all exposure scenarios into
one dot, but a written explanation should be accompanied the assessment to explain which scenarios
and exposure routes that have been assessed and the outcome of these assessments.
For human hazard assessment, the user is required to answer 5 questions, where only one: is the
nanomaterial classified as a high aspect ratio nanomaterial? is related to the physico-chemical
characteristics and properties of the nanomaterial. The other input parameters are related to the
toxicity of the nanomaterial: does the bulk material have a CLP classification for selected severe
irreversible toxicological effects? does the bulk material have a CLP classification for less severe
reversible toxicological effects? is the nanomaterial associated with any acute effects from scientific
literature? is there any scientific evidence suggesting that the nanomaterial is associated with
genotoxic, mutagenic, carcinogenic, respiratory, cardiovascular neurotoxic or reproductive effects in
humans and/or laboratory animals or has organ-specific accumulation been documented?
The method also contains a module for ecotoxicological assessment, which is not reported in this
evaluation.
3. Matrices/scenarios
The method has no limitation in general, i.e. all types of generic matrixes categories can be
assessed. The model is based on the nanomaterial substance in the product.
All scenarios listed in 2.1/1.1 could principally be addressed.
4. Overview
102
The model addresses all potential hazards related to the nanomaterial, including dermal,
oral, and inhalation exposure, however, limited to what hazards are known about the bulk
form and data from scientific literature. The hazard model uses a binary approach, where
the user is guided through a decision tree with predefined color categorization depending
on the answers. The output is qualitative and the background for the final hazard
categorization is explained using one out of 20 NanoRiskCat standard human health hazard
phrases. The method is not focused on metrics. It is focused on the indications and
evidence of hazard.
5. Tool targeted at nano?
NanoRiskCat is intended to be used on nanomaterials as well as products and articles
including nanomaterials only.
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Description and evaluation
Context of the method/tool
Who developed the tool/method?
The method was developed by Steffen Foss Hansen and Anders Baun from the Technical
University of Denmark (DTU), Lyngby, Denmark and Keld Alstrup Jensen from the National Research Centre for the Working Environment, Copenhagen, Denmark.
For which purpose, products and/or processes:
NanoRiskCat was developed as a procedure to categorize and communicate the knowledge on the potential exposure and hazard of nanomaterials in consumer products. Due to the
flexibility of the system, there are no immediate limitations on which types of products or even raw nanomaterials that can be assessed.
Has the tool been validated for NMs?
The method has not been validated and it cannot be done at this point in time. The method
may not need evaluation as such, as it is a tool intended to enable assessment of the present knowledge, the exposure potentials of nanomaterials and products with “nano-claims” and the knowledge on hazard for the specific nanomaterials therein. However, if knowledge appears
that suggest that the categorization criteria are not sufficiently rigid, modification of the method would be warranted.
If not, what is the potential for testing/validating within this project?
The tool can probably not be evaluated as part of this project as it requires validated data on exposure and a full hazard assessment of the nanomaterial in question.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
All the algorithms are binary and qualitative assessments of literature data on for the hazard assessment
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Uncertainties are not quantified. The uncertainties in the method are anticipated to be mainly
linked with the qualitative assessments on knowledge on the hazard of the nanomaterial.
Describe the level of quantification of the output of the method/tool:
The output is qualitative and given as five dots, which can have four different colors
describing the likelihood for exposure and the level of knowledge on hazard of the bulk compound and the nanomaterial specifically.
How are uncertainties addressed in the output of the method/tool:
Uncertainties are not quantified. The criteria for the decisions are to be communicated in writing in a supplemental document, which will enable the reader to discuss agreement on the conclusions.
Describe level of expertise needed to use the method/tool, is it an expert tool?
104
The method is intended for professionals, who have the ability to access and evaluate scientific literature on exposure science and nanotoxicology.
105
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters: There is no module for general input parameters, but two key physicochemical input parameters are required by NanoRiskCat as listed in Table 1
Table 1 Overview of the input parameters on the nanomaterial and the nanomaterial-based product/article.
Is the nanomaterial categorized as a HARN
(aspect ratio > 10 and follow the criteria in Tran et al. (2008)
What is the matrix and location of the nanomaterial in the product
yes/no
Fixed or embedded in a solid (matrix),
Surface-bound nanomaterial, Nanomaterial in Liquid dispersions,
Nanomaterial as free powder
106
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
Background exposure is not taken into account.
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
Yes, the assumed exposure potential during intended use is low when embedded in a solid.
Is exposure assessment based on worst case or average values for the various input parameters?
The exposure assessment is entirely based on guided judgment considering the physical
location of the nanomaterial in a product/article and the user’s assessment on the potential of exposure during the intended and likely use(s) and manipulation of the product or article.
Other relevant issues: If there is too little information available on where the nanomaterial occurs in a product/article, it is possible to categorize the likelihood of exposure to unknown.
Is the REACH methodology for describing product categories and exposure scenarios used?
No, this is not the case in the accepted scientific publication. In the first version published by the Danish EPA (Hansen et al., 2011), the exposure categorization was predefined for
REACH process and use categories (ECHA, 2010). However, this procedure was later evaluated to potentially result in too many errors, because the user would not consider the likelihood of exposure to the specific product, but blindly follow the process and use
categories.
Is banding of exposure potential used?
The system is a categorization tool of the exposure potential or likelihood of exposure to a
nanomaterial in a product. Depending on the tools, the risk categorization is somewhat comparable the exposure banding in the simplest qualitative control banding tools.
107
Dermal exposure
Which input parameters are required (including whether they are taken from a possible general input module) (dermal: dermal area exposed, amount/concentration, duration and frequency of use, indoor/outdoor, etc.):
There are no specific input parameters. The procedure for exposure assessment is entirely
based on the location of the nanomaterial in the product/article according to Hansen et al. (2007; 2008) and an assessment of the potential for exposure to the nanomaterial in the product or article during intended use and expected modification (e.g., sanding a surface or
drilling a hole). The final output agglomerates all exposure scenarios into one dot, but a written explanation should be accompanied the assessment to explain which scenarios and exposure routes that have been assessed and the outcome of these assessments.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
Specific product types/scenarios are not addressed in the method. The method is deliberately not isolated to specific material or product groups to enable general applicability.
Are default factors applied (e.g. for default scenarios)? Which?
As above with the same arguments, default factors are not applied.
Are default calculations applied (e.g. for default scenarios)? Which?
There are no calculations to be made due to the categorization paradigm depending on the location of the nanomaterial in the product/article.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
All types of generic matrixes categories can be assessed.
Is dermal exposure following aerosol deposition and condensation of vapours addressed?
This is not considered, unless the evaluator brings this issue into the evaluation.
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The method is not limited by which metric to be used and the assessment is not quantitative.
Is the effect of implemented risk management measures taken into account? Which/how?
There is no risk management module.
108
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
There are no specific input parameters. The procedure for exposure assessment is entirely
based on the location of the nanomaterial in the product/article according to Hansen et al. (2007; 2008) and an assessment of the potential for exposure to the nanomaterial in the product or article during intended use and expected modification (e.g., sanding a surface or
drilling a hole). The final output agglomerates all exposure scenarios into one dot, but a written explanation should be accompanied the assessment to explain which scenarios and exposure routes that have been assessed and the outcome of these assessments.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
Specific product types are not addressed in the method. The method is deliberately not
isolated to specific material or product groups to enable general applicability.
Are default factors applied (e.g. for default scenarios)? Which?
As above with the same arguments, default factors are not applied.
Are default calculations applied (e.g. for default scenarios)? Which?
There are no calculations to be made due to the categorization paradigm depending on the
location of the nanomaterial in the product/article.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No, because the categorization is solely qualitative, aggregation/agglomeration is not considered.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
All types of generic matrixes categories can be assessed.
Is evaporation-condensation processes addressed and if so how:
No; only if the evaluator takes this into consideration in the qualitative assessment. Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The method is not limited by which metric to be used and the assessment is not quantitative.
Is the effect of implemented risk management measures taken into account? Which/how?
There is no risk management module.
109
Inhalation spray Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation):
As above under inhalation exposure.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
As above under inhalation exposure. Are default factors applied (e.g. for default scenarios)? Which?
As above under inhalation exposure.
Are default calculations applied (e.g. for default scenarios)? Which?
As above under inhalation exposure. Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
As above under inhalation exposure. Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
As above under inhalation exposure.
Is evaporation-condensation processes addressed and if so how:
As above under inhalation exposure.
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
As above under inhalation exposure.
Is the effect of implemented risk management measures taken into account? Which/how?
As above under inhalation exposure.
110
Oral exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use,):
As above under inhalation and dermal exposure.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
As above under inhalation and dermal exposure.
Is dissolution in different gastric compartments addressed? If so how?
Dissolution of the nanomaterial is only considered of the evaluators takes this into their
specific assessment.
Are default calculations applied (e.g. for default scenarios)? Which?
As above under inhalation and dermal exposure.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
As above under inhalation and dermal exposure.
111
Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
The module estimates the hazard category.
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
The method assesses the hazard category based on 1 to 5 questions to be answered along a flow-chart (Table 2; Figure 1). Because the method is not an established computer-
based tool, there is not a general input module.
. Table 2 Input parameters used for hazard assessment in the NanoRiskCat hazard module
Is the nanomaterial
categorized as a HARN
(aspect ratio > 10
and follow the
criteria in Tran et al. (2008)
Is the bulk form of the
nanomaterial known/suspected to cause any severe and possibly irreversible detrimental
toxicological effects in its
CLP classification?
Is the bulk form of the
nanomaterial known/suspected to cause less severe and reversible toxicological effects in its
CLP classification?
Is the specific
nanomaterial known to be acute toxic?
Are there indications that the
nanomaterial causes genotoxic, mutagenic, carcinogenic,
respiratory, cardiovascular, neurotoxic, or reproductive effects in humans and/or
laboratory animals or has organ-specific accumulation?
yes/no yes/no yes/no yes/no yes/no
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
112
No; the method is applicable to all nanomaterials, products and articles.
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
Yes, the module categorizes products and articles with high-aspect ratio nanomaterials that
fulfill the paradigm given by Tran et al. (2008) as well as CMAR endpoints for the analogue bulk materials. In addition categorization is made based on lack of data.
Figure 1 Flow-chart decision tree for assigning a NanoRiskCat color code for the potential hazard
of a nanomaterial in a product/article.
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
The tool requires mandatory review of scientific literature to include information from toxicological studies on the nanomaterials in the products/articles. However, this is again a qualitative assessment including results from both in vivo and in vitro experiments.
113
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
No, due to the intended precautionary approach and traffic-light approach, the method uses hazards to any organ (or in vitro cell study) for the final hazard categorization. Therefore,
subsequent assessment is required to assess the relevance of the reported hazard category. However, the inclusion of all end-points and exposure routes in the final hazard assessment dot may on the other help to identify data where read-across between exposure routes is
possible and are included in the report.
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
The model does not calculate dose. It uses hazard data qualitatively.
114
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
The risk category is communicated in a three colored dots, representing the potential exposure for professional end-users, consumers, and the environment, respectively and two
colored dots, representing the potential hazard to humans and the environment (see Figure 2). The colors rank red (high), yellow (medium), green (low), and gray (unknown due to lack
of information), similar to a traffic-light, the potential level of exposure and hazard. The colors
red and gray would normally prompt further investigation. In this review, the environmental exposure and hazard is not taken into consideration.
Figure 2 Example of a graphical report of the risk categorization in NanoRiskCat. From the left, the first three dots represent the potential exposure to professional end-users, consumers and the environment. The next two dots, represent the hazard categorization for humans and the environment.
The color-code output is to be accompanied by a more elaborate written explanation and
argumentation of the decisions leading to the categories. Are risks evaluated in relation to specific exposure routes? Which/how?
Not directly, the exposure categorization can in the elaborated description consider specific
exposure routes and use-description.
Is there a facility to address combined exposures?
No, this is not discussed in the method.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
Yes, the tool has a color-coded risk categorization system as described above.
Is the outcome related to any risk management recommendations? Which/how?
Not directly. However, action for risk management would normally be prompt by gray and red categorizations.
Are uncertainties presented/addressed in the output? How?
No, uncertainties are not considered in the qualitative categorization output. Variables can be
discussed in the elaborate background documentation to be given together with the
categorization.
116
NanoSafer 5.2 The tool is available from: http://nanosafer.i-bar.dk/
In addition, the following background material has been reviewed for filling in this template: Scientific paper in preperation
Jensen, KA, Saber AT, Kristensen HV, Koponen IK, Wallin H (in prep) NanoSafer v 1.1: A web-based precautionary risk assessment tool for manufactured nanomaterials using first order modelling.
The web-page (http://nanosafer.i-bar.dk/) and supporting documents available from the web-page.
117
Summary
The tool covers/addresses (tick or leave empty):
A general input module
Exposure-dermal module
Exposure-oral module
Exposure – general inhalation module
Exposure - spray module
Hazards module
Output module
x x (x; not reactions)
X (considers OEL of bulk analogue materials and physico-chemical properties of MN)
x (Control/Risk Banding)
1. Type of tool
NanoSafer is an advanced tier 0 to tier 1 tool. The tool is intended for worker representatives,
company safety teams, and first assessment for professionals and usage of the tool does not require
training beyond introduction or study of the written manual.
2. Input parameters
The tool follows a systematic approach and requests specific nanomaterial characteristics, hazard
data and the occupational exposure limit of the nearest chemical bulk analogue and user-specific
input parameters on the contextual information and specifics on the work process to enable a
scenario and user-specific risk assessment. The input parameters and are listed in Tables 1 to 3.
3. Matrices/scenarios
Only powders are addressed in the current tool. The tool is developed for fugitive
emissions, point source emission and powder handling. Exposure waiving is not applied as
such. However, the user can define the emission potential as “0”, which will allow using the
tool for hazard assessment alone.
The model is based on substance.
NanoSafer can be used for scenarios where dust/particles or chemicals are released to the
air. These processes include powder handling and spraying in downstream user and
consumer exposure situations. However, it should be noted that, the model does not
consider evaporation and condensation processes. NanoSafer may be applied in the
following scenarios identified in activity 2.1/1.1:
*Cosmetics
Spray Cleaning agents
Spray Coatings/ impregnation
Spray Maintenance products (car, boats)
Spray Cement/ concrete a.o
Powder handling
Air-cleaners Sprays
Construction materials
Spray applications
118
4. Overview
The model addresses all hazards related to occupational inhalation exposure. The model
assesses the potential hazard of the nanomaterial as a function of water solubility, aspect
ratio (i.e. high-aspect ratio materials), uncertainty ascribed to coatings, and already
identified hazards of the specific chemical compound as a bulk material expressed by the
occupational exposure limit and specific hazard sentences. Assessment of combined
exposures is not possible.
The hazard model uses a quantitative algorithm. Various hazard contributions are multiplied
using an asymptotic multiplication function to ensure that individual low-hazard
contributions; say irritation of both eye, skin and airways, will not immediately result in a
high hazard score.
The algorithms applied for final risk assessment is quantitative, but the quantitative
assessment is scaled and used in the context of Control-Banding/Risk Management
Banding due to the inability to validate the assessments. The final output is an integrated
risk assessment for Acute (15 min) and 8-hour Near-Field and Far-Field exposure. The risk
scaling is based on compilation of hazard data and hazard indicators as explained above
and estimated exposure levels scaled according to a nanomaterial-specific theoretical
occupational exposure limit adjusted to by the ratio between the volume-specific surface
area of the nearest analogue bulk (reference at 200 nm size) and the nanomaterial in
question. Overviews of the input parameters are listed in Tables 1 to 3. The exposure and
hazard models are illustrated in Figures 1 and 2, respectively.
The risk assessment is based on the occupational exposure limit, which is given as a mass-
concentration (mg/m3) and adjustments considering the volume-specific surface area
(m2/cm
3) of the nanomaterial under evaluation. The adjustment of volume-specific surface
area is applied in the scaling of the potential exposure level.
5. Tool targeted at nano?
NanoSafer is intended for risk assessment of occupational inhalation exposure during
process-specific manufacturing and handling of nanomaterials, which result in inhalation
exposure to free MN. The underlying
quantitative model can be applied to more sophisticated variations of scenarios. For
example assuming that a
release from a process, such as grinding release dust with a fraction of MN.
119
Description and evaluation
Context of the method/tool
Who developed the tool/method?
The web-based tool, including basic e-learning resources was developed by the National
Research Centre for the Working Environment and the Danish Technological Institute, Denmark
For which purpose, products and/or processes:
NanoSafer was developed specifically for SME’s and the assessment of inhalation risk. The
system can be applied to processes where MN emissions are generated as free nano-objects and their agglomerates and aggregates. The primary scenarios are powder handling and fugitive sources, where emissions can be either continuous or episodic. The current version
of NanoSafer is not developed for handling exposures to composite debris particles.
Has the tool been validated for NMs?
Neither the hazard nor the exposure modules have yet been evaluated. This is due to lack of
hazard data on a larger suite of nanomaterials as well as lack of good workplace data where immediate emissions are described in sufficient detail and where there at the same time has been good control of the far-field contributions. Internal evaluations were made to investigate
that the exposure and hazard scaling had sufficient precautionary effect.
If not, what is the potential for testing/validating within this project?
The tool cannot be evaluated as part of this project as it is based on quantitative input
parameters and does not take products, articles and consumer products in general into consideration.
Further as noted above, validation would require good exposure data and hazard data on a larger suite of nanomaterials using a harmonized test approach.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
All the algorithms are quantitative following the hypothesis and paradigms of the model. The
exposure assessment is based on calculation of the potential exposure concentrations in the Near-Field and Far-Field. The hazard is estimated using a multiplicative asymptotic hazard accumulation function.
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Uncertainties are not quantified.
Describe the level of quantification of the output of the method/tool:
The algorithms are quantitative. The risk scaling is based on compilation of hazard data, hazard indicators and estimated exposure levels.
How are uncertainties addressed in the output of the method/tool:
Uncertainties are not quantified. However, the approach in control banding is to try and take
uncertainty into consideration by application of a precautionary principle.
120
Describe level of expertise needed to use the method/tool, is it an expert tool?
The user does not require training beyond introduction or study of the written manual. Understanding and application of the algorithms behind the interface, however, requires expert level. The tool is intended for worker representatives, company safety teams, and first
assessment for professionals.
121
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
Table 3 summarizes the physicochemical input parameters required by NanoSafer.
Table 3 Overview of the input parameters on the nanomaterial and hazard.
Material name
(optional)
CAS number
(optional)
EINICs Number
(optional)
Nano-specific word or
term
(yes/no)
Coated or surface modified
nanomaterial
(yes/no)
Dimension of the
nanomaterial
(a≤b≤c)
Specific density
(g/cm3)
Is the naomaterial
water
soluble
(yes/no)
The specific surface
area
(m2/g)
text text text NANO Rcoat a,b,c So SSA
122
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
As this procedure is following a conventional compound specific risk assessment, background exposure is not taken into account.
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
Exposure waiving is not applied as such. However, the user can define the emission potential
as “0”, which will allow using the tool for hazard assessment alone.
Is exposure assessment based on worst case or average values for the various input parameters?
The exposure assessment is intended to be based on a worst case scenario for the specific
work situation. The results are currently only given as a control- / risk management out-put not taking existing
LEV into consideration.
Other relevant issues:
No
Is the REACH methodology for describing product categories and exposure scenarios used?
No
Is banding of exposure potential used?
Yes, banding is used and the ranking (EXPi) of the acute and 8-hour exposure is calculated
based on the ratio between the estimated respirable dust concentration and a surface area modified specific exposure limit for the specific material under investigation (OELnano)
Equation 1 to 3 below.
Equation 1)
nano
AcuteAcute
OEL
CEXP
2 and Equation 2)
nano
hourhour
OEL
CEXP
88 ,
where
Equation 3)
nano
nanoSSA
OELOEL
130
, where nmSSA200
130
The reference OEL200nm is the OEL of the nearest analogue bulk material, where the bulk reference size has been defined to be 200nm, which has a Volume-Specific-Surface Area of
30 m2/cm
3. The specific density () is assumed to be the same of both the bulk and the
nanomaterial.
123
The values for EXPi can vary from 0 to infinite, In the control banding scheme, the exposure
risk level increases in five steps at 0.1, 0.25, 0.5, and 1.0, where the value 1 means that the exposure level exceeds OELnano (please see Figure 5 for the schemes of the control banding
output).
The calculations performed to reach the exposure scaling are made using a two-box instant mixing exposure model for calculating the scenario-specific exposure levels. The emission
rate (Ei) for this calculation is made using either dustiness data (Eo) adjusted for the activity energy (h) and applied mass-flow (dM/dt) or a constant release rate (Ei,o). The fundamental principles in this calculation in illustrated in Figure 3.
A) B)
Figure 3 A) Illustration of the release rate module, where the Emission rate (Ei) is given by a constant release rate (Ei,o) or the dustiness multiplied with mass-flow rate (kg/min) and a scenario-specific default handling energy factor (hi). B) Illustrates the two-box near-field (NF) and far-field (FF) instant mixing exposure model. The aerosol transfer and decay rates in the NF and FF volumes were calculation based on equations in Schneider et al. (2004).
Dermal exposure (not addressed)
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
Table 4 lists the eleven key input requirements for the inhalation exposure module.
Air-exchange in the near-field (QNF)
QNF = QFF x (VNF/VFF)+ ; = 10
CNF
QNF
CNF
QNF
Source
Emission rate:
Ei = Ei,c or Eo x h x dM/dt
Concentration in the near-field
CNF = (Ei + NFFF->NF - NFNF->FF + NFresidual) / VNF
CNF
QNF
CNF
QNF
EEii
QFF,in
QFF,out
V1,in
V1,out
QFF,in
QFF,out
V1,in
V1,out
CFF
CFF = (NFNF->FF - NFFF->NF + FFresidual) / VFF
CFF
CFF = (NFNF->FF - NFFF->NF + FFresidual) / VFF
CNF = (Ei + NFFF->NF - NFNF->FF + NFresidual) / VNF
124
Table 4 Overview of the input parameters on the nanomaterial and hazard.
Constant Release
rate
(kg/min)
Respirable
dustiness
(mg/kg)
Handling
energy factor
(0 - 1)
Amount Product Used per
work cycle
(kg/cycle)
Amount used per transfer
(kg/transfer)
Duration of work cycle
(min)
Duration of
transfer
(min)
Number of work cycles
(n)
Pause between
work cycles
(min)
Volume of work room
(m3)
Air-exchange
rate
(h-1)
dM/dt DI Hi M m tduration ttransfer n tpause V Q
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list): The scenarios addressed in the model includes only release during powder handling and fugitive sources
Are default factors applied (e.g. for default scenarios)? Which?
Default scenarios are not applied
Are default calculations applied (e.g. for default scenarios)? Which?
No, the calculations are always based on the contextual information, process description, and material input data.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No, aggregation/agglomeration is not considered.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Only powders are addressed in the current model.
125
Is evaporation-condensation processes addressed and if so how:
No.
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The model bases its calculation on the mass-concentration of airborne respirable dust in the near-field and far-field. The values are subsequently scaled using the volume-specific surface area.
Is the effect of implemented risk management measures taken into account? Which/how?
No, risk management measures are not taken into account in the calculations. However, they are taken into account when setting the final risk bands.
Inhalation spray (Generally not applicable): Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation):
NanoSafer is not intended for application of general spray exposure assessment, unless the
product does or can be assumed to emit a stable mass-concentration in the air. It does not consider reaction chemistry, evaporation and condensation. If these assumptions are made, the model can be used as described above.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
No specific scenarios addressed.
Are default factors applied (e.g. for default scenarios)? Which?
No.
Are default calculations applied (e.g. for default scenarios)? Which?
No, the calculations are always based on the contextual information, process description, and
material input data.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No, aggregation/agglomeration is not considered.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Only powders are addressed in the current model.
Is evaporation-condensation processes addressed and if so how:
No.
126
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The model bases its calculation on the mass-concentration of airborne respirable dust. The values are subsequently scaled using the volume-specific surface area.
Is the effect of implemented risk management measures taken into account? Which/how?
No, risk management measures are not taken into account in the calculations. However, they are taken into account when setting the final risk bands.
Oral exposure (not addressed)
Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
The module estimates the hazard based on the input parameters and use this information for subsequent control banding.
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
The input parameters relevant for hazard assessment are listed in
128
Table 5 Input parameters used for hazard assessment in the NanoSafer hazard module.
Is the naomaterial
water soluble
(yes/no)
Dimension of the
nanomaterial
(a≤b≤c)
Coated or surface
modified nanomaterial
(yes/no)
Occupational exposure
limit for
analogue bulk
material
(mg/m3)
Risk sentences for general
toxicity/irritation for analogue bulk material
(0-1)
Risk sentences for
carcinogenicity for analogue bulk material
(0-1)
Risk sentences
for reprotoxicity
for analogue
bulk material
(0-1)
Risk sentences
for neurotoxicity
for analogue
bulk material
(0-1)
Risk sentences for
allergy and sensibilization for analogue bulk material
(0-1)
So a,b,c Hcoat HOEL Rtox,i Rtox,i Rtox,i Rtox,i Rtox,i
129
Figure 4 Flow chart for hazard assessment in NanoSafer. Note that the key input parameters include water solubility (So), particle dimensions (length and diameter), information on inorganic/organic coatings, the OEL for the nearest bulk analogue, and risk phrases from safety data sheet. Calculation of the hazard levels are shown in Equation 4 and 5.
The hazard levels are estimated using equation 5 and 6 and consequently take values
between 0.2 and 1.
Equation 4)
ij j
n
i icarc RRH 11
, example of risk end-point for cancer
Equation 5) jij
n
i itot HHH 11 , total hazard score for all hazard
indicators.
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
No. The module is applicable to all nanomaterials.
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
Yes, the module categorizes: 1) all high-solubility nanomaterials as regular chemicals, 2) high-aspect nanomaterials (using the WHO fiber definition) as potentially highly toxic
(carcinogenic or asbestos like), 3) nanomaterials where the nearest analogue bulk compound has a high OEL as low toxic nanomaterials,
4) nanomaterials with coatings or surface modifications to have elevated hazard potential (at least level 2 out 4)
“nanorelevance”
NM with low
solubility (So < 1 g/L)
Is the NM a HARN
(a < 3 µm c > 5 µm
c/a > 3)
traditional risk
assessment is suggested
Htot = 1.00
Hcoat = 0.45
yes
no
yes
yes
yes
no
Are there any R-phrases
for the analogue bulk material
HOEL = 0.20
no
yes
Is the OEL for the analogue
bulk material < 1 mg/m3?
Is the NM surface modified
with an inorganic
and/or organic compound?
no
no
Calculate Htot
HOEL = 0.26
Calculate accumulated
HR from R-values
“nanorelevance”
NM with low
solubility (So < 1 g/L)
Is the NM a HARN
(a < 3 µm c > 5 µm
c/a > 3)
traditional risk
assessment is suggested
Htot = 1.00
Hcoat = 0.45
yes
no
yes
yes
yes
no
Are there any R-phrases
for the analogue bulk material
HOEL = 0.20
no
yes
Is the OEL for the analogue
bulk material < 1 mg/m3?
Is the NM surface modified
with an inorganic
and/or organic compound?
no
no
Calculate Htot
HOEL = 0.26
Calculate accumulated
HR from R-values
130
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
Yes, as described above.
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
Yes. The selected risk sentences are selected based on direct or indirect relevance for inhalation exposure.
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
The model does not calculate dose. The hazard level is associated to the OEL given in mg/m
3.
131
Questionnaire 4: Output / risk characterization / risk management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
A semi-quantitative risk level is estimated and given in the format of a 4 by 5 level control banding for the near-field, far-field acute (15 min) and daily (8-hour) exposure with
recommendation on applicable risk management measures. The control banding chart has 4 hazard bands and 5 exposure bands (Figure 5).
Figure 5 The control banding output format from NanoSafer where a control banding diagram is made for four specific scenarios: NF and FF acute and NF and FF chronic exposure, respectively.
NF
Acu
teF
F A
cu
te
NF
Ch
ron
icF
F C
hro
nic
5544332211
5544332211
44 33 22 11
NF
Acu
teF
F A
cu
te
NF
Ch
ron
icF
F C
hro
nic
5544332211
5544332211
5544332211
5544332211
44 33 22 1144 33 22 11
132
Are risks evaluated in relation to specific exposure routes? Which/how?
Yes. The tool only addresses inhalation exposure and air-way toxicity.
Is there a facility to address combined exposures?
No. This is not possible.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
Yes, the tool has a colour-coded risk management guidance as well as e-learning tools with introduction and some recommendations for risk management.
Is the outcome related to any risk management recommendations? Which/how?
Yes. Risk management actions are recommended for each risk level and are listed below
(Table 6) in the same colour codes as applied in Figure 5 with increasing risk level moving from white to dark blue.
133
Table 6 Recommended risk management actions
Potentially highly hazardous nanomaterial and/or moderate to very high exposure potential. Separate the
process, work in fume-hoods or similar. Respirators or high efficiency filter masks (P3 or better) may be used
as supplemental personal respiratory protection and in case of accidents. Expert consultancy is
recommended.
Potentially high hazard and/or high exposure potential. Conduct the work in a fume-hood, enclusure or
glove box or similar. High efficiency filter masks (P3 or better) should be readily available for personal
respiratory protection in case of accidents.
Moderate hazard potential and/or moderate exposure potential. The work should be conducted in a fume-
hood or with good local exhaust ventilation in combination with personal high efficiency respiratory
protection equipment (P3 or better). High efficiency filter masks (P3 or better) should be readily available
for personal respiratory protection in case of accidents.
Presumably low-hazardous nanomaterial and/or low exposure potential. The exposure level is probably
acceptable. The work should be conducted under local exhaust ventilation or in a fume hood or similar. High
efficiency filter masks (P3 or better) should be readily available for personal respiratory protection in case of
accidents.
Are uncertainties presented/addressed in the output? How?
Uncertainties are not considered in the output. However, it is considered, by the use of
default scores for e.g., insoluble fibers, MN with coating/functionalization and attempting to
follow a “reasonable” precautionary level in hazard scoring.
134
Stoffenmanager Nano version 1.0 5.3
The tool is available from: http://nano.stoffenmanager.nl
In addition, the following background material has been reviewed for filling in this template: Fransman W, Verbist K, Stuurman B, Vink S, Heussen H, Brouwer D, van Niftrik M (n.d.).
Development of Stoffenmanager Nano (www.stoffenmanager.nl). TNO. Available online:
http://www.nanosafe.org/home/liblocal/docs/Nanosafe%202010/2010_poster%20presentations/P1b
-1_van%20Niftrik.pdf (accessed 30.10.13)
Schneider T, Brouwer DH, Koponen IK, Jensen KA, Fransman W, Duuren-Stuurman B, Van
Tongeren M, Tielemans E (2011). Conceptual model for assessment of inhalation exposure to
manufactured nanoparticles.Journal of Exposure Science and Environmental Epidemiology, 21, pp.
450-463.
Van Duuren-Stuurman B, Vink SR, Verbist KJM, Heussen HGA, Brouwer, DH, Kroese, DED, Van
Niftrik, MFJ, Tielemans, E, Fransman, W (2011a): Stoffenmanager Nano Version 1.0: A Web-
Based Tool for Risk Prioritization of Airborne Manufactured Nano Objects. Ann. Occup. Hyg. pp 1-
17.
Van Duuren-Stuurman B, Vink SR, Brouwer DH,Kroese DED, Heussen HGA, Verbist KJM, Tielemans E , Van Niftrik MFJ, , Fransman W (2011b). Stoffenmanager Nano: Description of the conceptual control banding model.TNO Report V9216. The Netherlands.
135
Summary
The tool covers/addresses (tick or leave empty):
A general
input
module
Exposure-
dermal
module
Exposure-
oral module
Exposure –
general
inhalation
module
Exposure -
spray
module
Hazards
module
Output
module
()*
*the tool does not cover a specific spray module, but it is included in the general inhalation module.
1. Type of tool
The Stoffenmanager Nano is a tier 1 occupational model, which is developed to be used by (non-
experts in) SMEs.
2. Input parameters
The exposure parameters needed to run the model are (for inhalation exposure only):
Concentration of nano component in the product
Characterisation of task
Duration of task
Frequency of task
Is the task being carried out in the breathing zone of an employee
Daily cleaning of working room
Monthly inspection/maintenance of machinery/ancillary products
Volume of the working room
Ventilation of the working room
The tool is tailored requiring further input depending on what is selected as primary inputs. See further
details in Questionnaire 1.
136
The estimate of the potential inhalation exposure is calculated on the basis of the following algorithm (Schneider et al. 2011)
Parameter Concentration (score)
due to near-field exposure
Concentration (score) due
to far-field exposure
Background Concentration (score) due to
diffusive sources
Multiplier for the
reduction of
exposure due to control
measures as the worker
Multiplier for the
reduction of exposure due to use of personal protective equipment
Multiplier for
duration of the
handling
Multiplier for
frequency of the
handling
Exposure score
Algorithm [(Cnf + Cff + Cds)] x Ƞimm x Ƞppe x Th x tf
Where
Cnf = E x H x Ƞlc_nf x Ƞgv_nf; Cnf = E x H x Ƞlc_ff x Ƞgv_ff; Cds = E x a and
E =intrinsic emission multiplier; a = multiplier for the relative influence of background sources; H =
handling (or task) multiplier; ƞlc = multiplier for the effect of local control measures; ƞgv_nf = multiplier for the effect of general ventilation in relation to the room size on the exposure due
to near-field sources; and ƞgv_ff = multiplier for the effect of general ventilation in relation to the room size on the exposure due to far-field sources.
3. Matrices/Scenarios
The tool addresses powders, granules/flakes and particles dispersed in a liquid. Exposure based waiving principles are not explicitly addressed, but solid matrices are as a starting point
implicitly excluded.
The Stoffenmanager nano is developed for use in an occupational setting, and the consumer exposure scenarios from activity 2.1/1.1 are therefore not addressed as consumer scenarios.
However, some of the inhalation scenarios could probably be generically addressed, in particular inhalation exposures resembl ing some of the source domains used in the tool (e.g.
dispersion of (solid or liquid) intermediates or ready-to-use MNO-containing products).
137
4. Overview
The hazard module of the tool uses a hazard band approach, where a hazard band (A-E, where A is
the lowest hazard and E is the highest) is assigned on the basis of input parameters for the
nanomaterials or characterisation from the parent material, if the MNO-specific hazard is unknown.
The input parameters for the hazard module are:
Does the product contain fibers/fiber-like particles? (Y/N). If yes hazard band E
(see below for more detail) (taken from a general input module concerning product characteristics)
(Inhalation) hazard input is based on classification: o Unknown o Mutagenic (and possibly carcinogenic) and/or sensitizing (hazard band
E) o Carcinogenic (not mutagenic), reprotoxic and/or very toxic (hazard band
D)
o Toxic, corrosive and/or respiratory allergens (hazard band C) o Harmful and/or irritating (hazard band B) o Non-hazardous (hazard band A)
The tool is only applicable for inhalation exposure, and it is not possible to address combined exposures. The exposure module uses a semi-quantitative approach, since the algorithm used for calculating a relative exposure score includes different multipliers for various modifying factors. The
exposure score is transferred into an exposure band and combined with the hazard band in a final qualitative output.
5. Tool targeted at nano?
The Stoffenmanager nano tool is targeted at nanomaterials.
138
Description and evaluation
Context of the method/tool
Who developed the tool/method?
The tool was developed by TNO (contract with the Dutch House of Representatives (advised by the Social Economic Council (SER)). Stoffenmanager nano is a nano-specific module
within the generic Stoffenmanager risk-banding tool (NB! The generic Stoffenmanager tool is assessed separately in this project)
For which purpose, products and/or processes:
Stoffenmanager nano was developed for employers and employees handling manufactured nano objects (MNO) in order to protect workers and minimize exposure to nanoparticles. The model only assesses occupational exposure through inhalation.
Applicability of the tool: The Stoffenmanager nano applies to substances that consists of MNOs with a primary size between 1 and 100 nm and/or to products with specific surface area of ≥ (1/ρ) 60m
2 g-
1.
Water solubility also affects the applicability of the model, since nano-specific properties are expected to be lost when particles are in solution (Van Duuren-Stuurman et al. (2011a). For water soluble MNOs, the user is redirected to the generic Stoffenmanager tool.
Has the tool been validated for NMs?
Version 1.0 of the model has not been validated for NMs. A future aim is to test and refine the inhalation model based on measurement data published in the open literature and in
NANOSH (EU FP7 project), as was previously done for validating the generic Stoffenmanager tool (Fransman et al. (n.d)
If not, what is the potential for testing/validating within this project?
Although not a real validation, we might be able to compare (i.e. benchmark) results from Stoffenmanager nano with those of other tools/information found in literature
Describe the level of quantification of the algorithms of the different modules of the method/tool:
The exposure banding module is based on a semi quantitative approach, since the algorithm
used for calculating a relative exposure score includes different multipliers for various modifying factors.
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Uncertainties are not explicitly addressed in the algorithms. However, the model is claimed to be underpinned by the precautionary principle due to the limited knowledge about exposure and hazards of NMs. Due to these uncertainties, high exposure should be avoided and therefore high exposure bands automatically lead to high risk priorities for all hazard bands
(except hazard band 'A'). Currently, no MNOs will be assigned hazard band A and B due to lack of information. This means, that in order to achieve a low risk priority band, the lowest exposure band must be assigned to the scenario.
Describe the level of quantification of the output of the method/tool: The output of the exposure module is qualitative, since the exposure scores calculated from
the algorithm are converted into an exposure band. The output of the hazard banding module is also qualitative, since it is based on properties of the MNO and hazard classification. Thus, the final output of the model is qualitative.
139
How are uncertainties addressed in the output of the method/tool:
Uncertainties within the model are not addressed in the reviewed literature for the Stoffenmanager nano tool and uncertainties are not presented along with the output.
Describe level of expertise needed to use the method/tool, is it an expert tool?
Stoffenmanager nano is not an expert tool - it is intended to be used by (non-experts in) SMEs and user friendliness is of major importance. Input parameters to the assessment are
selected on the basis of the availability of these parameters, e.g. from the Safety Data Sheets.
140
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
Source domain o Release of primary particle during actual synthesis
o Handling of bulk aggregated/agglomerated nanopowders o Spraying or dispersion of a ready-to-use nanoproduct
Product type:
Intermediate
Ready-use-product
o Fracturing and abrasion of MNO-embedded end products Redirected to the generic Stoffenmanager
Product name
Product appearance
o Powder Dustiness (unknown, medium (50-150 mg/kg), high (150-500
mg/kg), very high (>500 mg/kg)) Moisture content (dry product (<5% moisture content), 5-10%
or >10% moisture content)
o Granules/flakes
Dustiness (granules/flakes, firm granules/flakes)
Moisture content (dry product (<5% moisture content), 5-10% or >10% moisture content)
o Particles dispersed in a liquid Viscosity of the liquid (liquids with low viscosity (like water),
liquids with medium viscosity (like oil), liquids with high
viscosity (like paste or syrup) ) Name of the nano component Is the exact concentration of the nano component in the product known? (Y/N)
Does the product contain fibers/fiber-like particles? (Y/N)
Depending on the input parameter/characteristic that is chosen, different input information is required. E.g. for liquids the specific input parameters could be as follows:
Source domain: Spraying or dispersion of a ready-to-use nano product
Product appearance: Particles dispersed in a liquid
Viscosity of the liquid (low, medium, high)
Is the direct dilution of the product with water known? (Y/N) (optional) o If no: choose between unknown, undiluted, concentrated, moderately
diluted, diluted, very diluted or extremely diluted
Characterization of task: o Handling of liquids at high pressure resulting in substantial generation of
visible mist or spray/haze o Handling of liquids on large surfaces or large workpieces o Handling of liquids using low pressure, low speed with large or medium
quantities o Handling of (almost) undisturbed liquids (very low speed), very small
quantities (under controlled conditions) of liquids in tightly closed
containers.
Whereas if another source domain is chosen, other input parameters for e.g. product
appearance and characterization of task will appear. Please refer to the actual tool (http://nano.stoffenmanager.nl) for details.
141
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
Background exposure is taken into account as it is included in the exposure algorithm
("background concentration from diffuse sources (Cds)"). Background concentration (score) is calculated as Cds = E*a,
where E= intrinsic emission multiplier (determines the intrinsic emission potential of a substance, e.g. dustiness for a particulate agent and volatility for liquids (Schneider et al.
(2011)) and a = multiplier for the relative influence of background sources. The reviewed background literature does not address whether the background exposure
function is relevant for consumers as the tool is developed for occupational settings.
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
Not explicitly addressed.
However, in the fourth source domain, solid matrices are not directly covered by the tool – only in the case where release of MNOs following fracturing/abrasion (e.g. by sanding of surfaces) of MNO-embedded end products is expected by the assessor (source domain 4).
I.e. solid matrices are as a starting point implicitly excluded. If this source domain/exposure scenario is chosen (fracturing/abrasion), the Stoffenmanager Nano tool cannot yet assess the exposure, and the user is redirected to the generic Stoffenmanager.
Is exposure assessment based on worst case or average values for the various input parameters?
Not explicitly addressed in reviewed literature, although the impression is that assessments are based on worst case.
When values or information are missing, worst-case values/categories are assigned (van Duuren-Stuurman et al. 2011)
Is the REACH methodology for describing product categories and exposure scenarios used?
No
Is banding of exposure potential used?
Yes, the tool will calculate an overall exposure score using an exposure algorithm. This score is not used directly (as the score itself does not represent a quantitative exposure level), but
score/result of the algorithm is use to assign a qualitative exposure band (1-4) on the logarithmic scale (similar to the generic Stoffenmanager) (see Table 7 below).
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Table 7: Stoffenmanager Nano exposure bands (table adopted from van Duuren-Stuurman et al. 2011)
6. Exposure band
7. Range Stoffenmanager Nano scores
8. 1 9. <0.002
10. 2 11. 0.002-0.2
12. 3 13. 0.2-20
14. 4 15. >20
Dermal exposure (Not addressed)
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
Exact concentration of nano component in the product known? (Y/N) (taken from
the general input module) o If yes, the concentration in % is entered
o If no, following options can be chosen Pure product (100%) Main component (50-99%
Substantial (10-50%) Small (1-10%) Very small (0.01-0.1%)
Unknown
Characterisation of task (depending on whether the object is a solid or a liquid and
which source domain that is chosen)
Duration of task
Frequency of task
Is the task being carried out in the breathing zone of an employee (distance head-
product <1 m) (Y/N)
Daily cleaning of working room (Y/N)
Monthly inspection/maintenance of machinery/ancillary products (Y/N)
Volume of the working room (<100 m3, 100-1000 m3, >1000 m3, work done
outside)
Ventilation of the working room (no ventilation, mechanical or natural ventilation or
spraying booth).
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
Stoffenmanager nano should ideally be applicable to all types of occupational inhalation
exposure scenarios (it is not clear whether the future versions of the tool is supposed to be applicable to e.g. consumer exposure scenarios as well). Currently the tool distinguishes between four general source domains:
1. Point or fugitive emission during the production phase prior to harvesting the bulk
material (e.g. leaks through connections, seals, etc. during MNO synthesis/incidental release)
2. Handling and transfer of bulk powdered MNOs (e.g. bagging or dumping of
powder) 3. Dispersion of (solid or liquid) intermediates or ready-to-use MNO-containing
products (e.g. spraying, pouring liquids)
4. Activities resulting in fracturing and abrasion of MNO-containing end products (e.g. sanding of surfaces).
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Since the Stoffenmanager nano is developed for use in an occupational setting, the consumer exposure scenarios from activity 2.1/1.1 are not addressed as consumer scenarios, but some of the inhalation scenarios could probably be generically addressed, in
particular inhalation exposures resembling above source domain 3 (Dispersion of (solid or liquid) intermediates or ready-to-use MNO-containing products (e.g. spraying, pouring liquids)). Potentially also source domain 4 (Activities resulting in fracturing and abrasion of
MNO-containing end products (e.g. sanding of surfaces)) could be addressed; however, as noted earlier this is not yet implemented in Stoffenmanager nano (use directed to generic Stoffenmanager).
Are default factors applied (e.g. for default scenarios)? Which?
See below
Are default calculations applied (e.g. for default scenarios)? Which?
Default calculation algorithms with default parameters and input parameters are applied (see
above). Default decision rules depending on input parameters are applied.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
Seemingly not addressed (no information on this issue in reviewed literature)
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
o Powder
o Granules/flakes
o Particles dispersed in a liquid
Is evaporation-condensation processes addressed and if so how:
Not addressed (no information in reviewed literature)
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
NA, no quantitative exposure estimates are derived.
Is the effect of implemented risk management measures taken into account? Which/how?
Yes, different risk management measures are a part of the modifying factors affecting the
final exposure score. Different multipliers are given depending on the different local control measures. The different input parameters are:
Working area:
Is the working room being cleaned daily (Y/N)?
Are inspections and maintenance of machines/ancillary equipment being done at least monthly to ensure good condition and proper functioning and performance (Y/N)
Volume of working area (<100 m3, 100-1000 m3, >1000 m3, work done outside)
Ventilation of the working room (no ventilation, mechanical or natural ventilation or
spraying booth).
Local control measures and personal protective equipment:
Local control measures o No control measures at the source
o Use of a product that limits the emission o Local exhaust ventilation o Containment of the source
o Containment of the source with local exhaust ventilation o Glove boxes/bags
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Is the employee situated in a cabin? o The worker does not work in a cabin
o The worker works in a cabin without specific ventilation system o The worker works in a separated cabin with independent clean air supply
Is personal protective equipment applied
o None o Filter mask P2 (FFP2)
o Filter mask P3 (FFP3) o Half-mask respirator with filter, type P2L o Half-mask respirator with filter, type P3L
o Full-face respirator with filter, type P2L o Full-face respirator with filter, type P3L o Half-/full-face powered air respirator TMP1 (particulate cartridge)
o Half-/full-face powered air respirator TMP2 (particulate cartridge) o Half-/full-face powered air respirator TMP3 (particulate cartridge) o Full-face powered air respirator TMP3 (particulate cartridge)
o Hood or helmet with supplied air system TH1 o Hood or helmet with supplied air system TH2 o Hood or helmet with supplied air system TH3
An example of how the different risk management measures results in different multiplying
factors are given in Table 8 below.
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Table 8 Stoffenmanager Nano multipliers for reduction by general ventilation for near-field (A) and far-field sources (B). The score is given to a combination of room volume in cubic meter and ventilation type. No far-field exposure is assumed in
a spraying booth, due to the special conditions in a spraying booth (table adapted from van Duurman-Stuurman et al. 2011).
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Inhalation spray Inhalation spray is addresses in the inhalation module (see above)
Oral exposure (not addressed)
Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
The module is using a hazard band approach, where a hazard band (A-E, where A is the
lowest hazard and E is the highest) is assigned on the basis of the input parameters for the nanomaterials or characterisation from the parent material (see below).
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
Does the product contain fibers/fiber-like particles? (Y/N). If yes hazard band E
(see below for more detail) (taken from a general input module concerning product characteristics)
(Inhalation) hazard input is based on classification:
o Unknown o Mutagenic (and possibly carcinogenic) and/or sensitizing (hazard band
E) o Carcinogenic (not mutagenic), reprotoxic and/or very toxic (hazard band
D)
o Toxic, corrosive and/or respiratory allergens (hazard band C) o Harmful and/or irritating (hazard band B) o Non-hazardous (hazard band A)
"As the hazard of the MNOS is currently unknown, the hazard band is determined by expert judgement (for commonly used particles) or the classification of the parent material (other
particles)" (van Duuren-Stuurman et al., 2011b)
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
No, the model is aimed to be applicable for all types of non-soluble manufactured nano objects.
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
Hazard banding is done in a stepwise manner, and is based on the properties of the MNO. Step 1 concerns the water solubility of the MNO, which determines the applicability of the
Stoffenmanager nano tool. If a MNO is considered water soluble, the user is redirected to the generic Stoffenmanager tool. If the water solubility is unknown, the MNO is considered non-soluble.
In step 2 a distinction of persistent nanofibers (defined as (insoluble) nanofibers with a length > 5000nm, with the two other dimensions in the nano range) is needed. Because of the
147
uncertainty regarding the risk of nanofibers, persistent nanofibers are always classified in the highest hazard category (E). MNOs are treated as nanofibers when there is an indication for fiber-like properties. When no information is available, MNO are considered non-fibers.
In step 3 classification based on MNO-specific hazards is conducted, if information on the hazard of the particle itself is available. See above for input parameters.
If there is insufficient toxicological data for the given MNO, then classification can be made based on the hazardous potential of the parent material in step 4. Input parameters for this
step are type of MNO (chosen from a list consisting widely used MNOs (published by RIVM)) and primary particle diameter. The MNO are considered at least as toxic as the parent material, and in most cases it is classified in a higher hazard band than the bulk material.
When no data is available on the parent material, the highest hazard band (E) is assigned for precautionary purposes.
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
When no data on the toxicological properties for the MNO is available, hazard data for the
parent material is used (see above).
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
NA, the tool only addresses inhalation exposure.
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
NA, no quantitative dose descriptor is used.
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
The tool provides more of a risk prioritization instead of a real control banding. The output of the model combines the results from the exposure and hazard banding in a risk matrix, which gives a risk priority band. These risk bands provide a relative ranking of risks for activities for
individual workers. Since both the exposure and hazard bands are based on qualitative measures, no quantitative output is given.
Are risks evaluated in relation to specific exposure routes? Which/how?
Yes, only inhalation is covered in this tool.
Is there a facility to address combined exposures?
The algorithm of the tool combines exposure from near-field, far-field and background
inhalation exposure into a single exposure score. It is not possible to address combined exposure from e.g. inhalation and dermal exposure in the model as only inhalation is addressed.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
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The output is a risk priority band, which gives three different bands with different colour codes:
1 = high priority (red)
2 = medium priority (yellow) 3 = low priority (green)
See Table 9 below.
Table 9 Risk priority bands in Stoffenmanager (adapted from van Duurman-Stuurman et al. 2011)
Hazard band
Exposure band
A B C D E
1 3 3 3 2 1
2 3 3 2 2 1
3 3 2 2 1 1
4 2 1 1 1 1
Is the outcome related to any risk management recommendations? Which/how?
After assigning a risk priority band, the tool enables the user to design a risk reduction scenario. A list with possible control measures that can be implemented to reduce exposure is presented. Subsequently, a new calculation of the risk priority band is completed
(implementation of a reduction scenario might not directly lead to a lower priority category though).
These control measures covers local control measures, control measures in the area directly around the source, control measures affecting the worker's wide surroundings, adaption of the worker situation and personal protective equipment. After completing this, an action plan
is provided to the user.
Are uncertainties presented/addressed in the output? How?
Uncertainties are not presented along with the output.
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Stoffenmanager 5.1 5.4
The tool is available from: https://stoffenmanager.nl/
In addition, the following background material has been reviewed for filling in this template: ECHA (2012): Guidance on information requirements and chemical safety assessment. Chapter R.14:
Occupational exposure estimation. Version 2.1. Available online; http://echa.europa.eu/documents/10162/13632/information_requirements_r14_en.pdf (Accessed 12.11.13)
Marquart H, Heussen H, Le Feber M, Noy D, Tielemans E, Schinkel J, West J, van der Schaaf D (2008). 'Stoffenmanager', a web-based control banding tool using an exposure process model. Ann. Occup. Hyg., 52(6), pp. 429-441
1
MILJOE (2003). Risk Assessment for Occupational Dermal Exposure to Chemicals RISKOFDERM Project QLK4-CT-1999-01107. Deliverable 48: Toolkit for Dermal Risk Assessment and Management. Available online:
http://www.insht.es/InshtWeb/Contenidos/Documentacion/FICHAS%20DE%20PUBLICACIONES/EN%20CATALOGO/Aip%20en%20catalogo/AIP%20203%20RISKOFDERM/Toolkit%20Paper%20Version.pdf (Accessed 14.11.13)
Oppl R, Kalberlah F, Evans PG, van Hemmen JJ (2003). A Toolkit for Dermal Risk Assessment and Management: An Overview. Ann. Occup. Hyg., 47(8), pp. 629-640.
Tielemans E, Noy D, Schinkel J, Heussen H, Van der Schaaf D, West J, Fransman W (2008). Stoffenmanager Exposure Model: Development of a Quantitative Algorithm. Ann. Occup. Hyg. 52(6), pp. 443-454.
TNO (2006). The RISKOFDERM Dermal Exposure Model Version 2.0 – Guidance Document. Available online: http://www.google.dk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&ved=0CEYQFjAD&url=http%3A%2F%2Fw
ww.tno.nl%2Fdownloads%2FThe%2520RISKOFDERM%2520Dermal%2520Exposure%2520Model%2520-%2520Guidance%2520document.doc&ei=W_KFUp-8EYi44AT_h4GwDg&usg=AFQjCNGZ6UU7EPVHPdl2ktOX8HQZYdX0IA&bvm=bv.56643336,d.bGE&cad=rja
(Accessed 15.11.13)
1 NB. It is important to note, that this background material refer to an older version of the Stoffenmanager (ver.
3.5).
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Summary
The tool covers/addresses (tick or leave empty):
A general
input
module
Exposure-
dermal
module
Exposure-
oral module
Exposure –
general
inhalation
module
Exposure -
spray
module
Hazards
module
Output
module
()
1. Type of tool:
The Stoffenmanager is an occupational tool and has two different routes: a control banding/risk
prioritizing for both dermal and inhalation exposure (tier 1) and a quantitative assessment for
inhalation exposure (tier 1+). It is a non-expert tool developed for assessment of occupation
exposures especially in SMEs. The tool is not developed for consumer exposure and control banding
and thus do not contain methods for assessing oral exposure or exposure of subgroups e.g. children.
2. Input parameters:
General input parameters are data from the Safety Data Sheets (SDS). The input parameters for
exposure assessment are:
Dermal exposure
Product (chose from the products entered as described in Questionnaire 1 for the general input module with data from the SDS)
Dilution (if relevant)
Characterisation of the type of activity
o Handling objects or surfaces with (possible) presence of the product o Manuel dispersion of the product without a hand-held tool, but e.g. with
hands, cloth or sponge
o Dispersion of product with hand-held tool, e.g. brush, roller, scoop, broom or bucket
o Spray dispersion of product
o Immersing or dipping objects in product o Mechanical treatment of solid objects or product
Different input parameters are then required, depending on the activity chosen. If 'Spray dispersion of product' is chosen as an example (with a liquid substance), following input parameters are then required:
How is the liquid best described? Does spraying create fine mist (Y/N)
What is the distance to the source? Is the workroom small, narrow or enclosed (e.g. toilet) (Y/N) What is the working height during an activity?
How much product is used per quarter of an hour? Is the source segregated (Y/N) Is local exhaust ventilation used (Y/N)
Does workers wear working clothes (provided by employer) during the activity (Y/N) What is the total duration of the activity? What uncovered parts of the body are exposed?
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Inhalation Exposure
Is the product a solid or liquid
Characterisation of task
Duration of task
Frequency of task
Distance to task
Is personal protective equipment applied? (Y/N)
Volume of working room
Characterization of type of general ventilation
Daily cleaning of working room (Y/N)?
Are inspections and maintenance of machines/ancillary equipment being done at
least monthly to ensure good condition and proper functioning and performance (Y/N)?
The tool is tailored requiring further input depending on what is selected as primary inputs. See further details in Questionnaire 2.
See point 4 below in relation to hazard input.
3. Matrices/Scenarios
Stoffenmanager is applicable to liquids and solids and no exposure based waiving principles are
applied. The Stoffenmanager assesses exposure to products. These may be preparations (e.g. a
paint), but can also be pure substances. The Stoffenmanager is developed for use in an occupational
setting, and the consumer exposure scenarios from activity 2.1/1.1 are therefore not addressed as
consumer scenarios. However some of the scenarios/activities that are covered within the tool may
also apply to the scenarios from activity 2.1/1.1 (e.g. dermal and inhalation exposures from sprays,
paints, coatings etc.).
4. Overview
The hazard assessment is based on the R-phrases (or H-sentences) for the substance/product, and
these are then converted into a hazard band according to the COSHH Essential scheme2. The tool is
assessing inhalation and dermal exposure separately, and it has not been identified whether
combined exposure assessment is possible. Different levels of quantification are found for the
different assessment routes. For the risk prioritizing module, dermal and inhalation exposures can be
assessed and the outcome is qualitative in the form of a risk band. For inhalation exposures, a
quantitative assessment is also possible, where the output is giving exposure concentrations of tasks
in mg/m³.
5. Tool targeted at nano?
Stoffenmanager is not targeted towards nanomaterials. It possible applicability for nanomaterials shall
be seen in the light of the specific “Stoffenmanager nano” developed (assessed in a separate
template). In general, we assess that Stoffenmanager can be used with caution e.g for dermal for
scenarios not addressed by the Stoffenmanager nano tool (currently focusing on inhalation).
Description and evaluation
Context of the method/tool
Who developed the tool/method?
The tool is developed by TNO as a part of the so-called 'VASt programme', established by the Safe and Healthy Work Department of the Ministry of Social Affairs and Employment of
Netherlands.
For which purpose, products and/or processes: The tool was developed to assist SMEs without specific expertise in chemical risk
assessment to prioritize the potential risk of chemicals handled and to indicate the types of
2 http://www.hse.gov.uk/coshh/essentials/index.htm
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exposure controls that could lower these risks. At the moment the tool is available in Dutch, Finnish and English.
Has the tool been validated for NMs?
No
If not, what is the potential for testing/validating within this project?
Although not a real validation, we might be able to compare (i.e. benchmark) results from
Stoffenmanager with those of other tools/information found in literature
Describe the level of quantification of the algorithms of the different modules of the method/tool:
For the dermal module, default potential exposure rates are assigned to the different exposure situations (see section for 'dermal exposure' below). These are multiplied with different modifying scores which gives a quantitative exposure rate as a result (Oppl et al.,
2003) (But not a quantitative exposure estimate).
For the control banding/risk prioritizing module for inhalation exposure, the exposure banding module is based on a semi quantitative approach, since the algorithm used for calculating a relative exposure score includes different multipliers for various modifying factors
For the quantitative inhalation assessment, the underlying algorithm is evidently quantitative.
The hazard “algorithm” is qualitative/decision-based categorising based on the classification.
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Some information about model uncertainties is given for the quantitative inhalation model in Tielemans et al. (2008), which is stated to apply to 'reasonable worst case' scenarios.
For the dermal module it is also the impression that assessments are based on reasonable worst case. See Questionnaire 2 for details.
The banding approach is generally considered to be conservative.
Describe the level of quantification of the output of the method/tool:
The output consists of a qualitative control banding/risk prioritizing.
For inhalation, also a quantitative exposure estimate is provided ( in mg/m³).
How are uncertainties addressed in the output of the method/tool:
Presentation of the banding output does not explicitly address uncertaintites. Regarding the quantitative inhalation exposure estimate output: "The variation in the model is included in the exposure assessment output, which enables the use of different percentiles of the exposure distribution. The estimated exposure distribution is also visualized in a graph" (ECHA, 2012)
Describe level of expertise needed to use the method/tool, is it an expert tool?
The tool is developed to be used in SMEs by employers who are non-experts in occupational hygiene. In some parts of the calculations, user-friendliness was prioritised over precision (Marquart et al., 2008)
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Other relevant issues:
The tool has been recommended by REACH as a tier 1+ model in Chapter R14 (part
R14.5.1) in the Guidance on information requirements and chemical safety assessment (ECHA, 2012). The quantitative inhalation exposure module in the tool has also been recognized as method to evaluate dangerous substances at the workplace by the Dutch
Labour Inspectorate (De Arbeidsinspectie).
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters: Input parameters – product (data from the SDS)
Name of the product
Publication date of the SDS
Supplier
Whether the substance is a solid or a liquid
o For a solid: the dustiness Objects
Solid granules/grains/flakes Granules/grains/flakes Coarse dust
Fine dust Extremely dusty products
o For a liquid, the vapour pressure
If vapour pressure is unknown, the vapour pressure of water at 20°C is used as default value
Health and safety information
o R- and S-phrases or H-and P-phrases [R/S phrases for the product (i.e. not for the individual components), according to the SDS]
Composition of the product, according to the SDS o The different substances the product is composed of o Concentration of the substances within the product
Hazard categories (i.e. symbols according to the SDS)
Personal protective equipment (PPE) and ventilation needed (according to the SDS)
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Other relevant issues:
An illustrative overview of the tool (version 3.5) is given in Figure 6 below
Figure 6 Overview of Stoffenmanager, including risk banding and other important elements (Adapted from Marquart et al., 2008
155
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
For the inhalation modules, background exposure is taken into account as it is included in the exposure algorithm ("background concentration from diffuse sources (Cds)"). Background
concentration (score) is calculated as Cds = E*a,
where E= intrinsic emission multiplier (determines the intrinsic emission potential of a substance, e.g. dustiness for a particulate agent and volatility for liquids (Schneider et al., 2011) and a = multiplier for the relative influence of background sources.
It is a basic assumption in the model that the exposure (and the background score) has to be related to the intrinsic emission of the product (e.g. background emission of a high volatile substance is higher than for a low volatile substance) (Marquart et al., 2008)
The background documentation does not evaluate whether this should be considered
relevant for consumer exposure, as the model only concerns occupational exposure. Based on the information reviewed, background is not addressed for the dermal exposure
module.
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
No
Is exposure assessment based on worst case or average values for the various input parameters?
For the RISKOFDERM model: "The model always calculates the median (50th percentile) of the output distribution appropriate to the input (…) You can indicate an additional percentile to be calculated in the input screen for the chosen "process"" (TNO, 2006). NB! It is not entirely
clear whether this option is available in the Stoffenmanager. For the assessment of internal exposure "‘reasonably worst case’ assumption of complete
percutaneous absorption, had to be used within this toolkit, and the internal exposure then
equals the actual exposure or is of the same order of magnitude. Except for a limited number of chemicals with low skin penetration, the toolkit considers internal exposure to be less than actual exposure" (Oppl et al., 2008)
For the risk prioritizing part of the inhalation assessment this issue is not explicitly addressed in the literature reviewed, although the impression is that assessments are based on worst
case. For the quantitative inhalation exposure assessment the mixed-effect regression model may
be used for assessment of reasonable-worst-case scenarios (Tielemans et al. 2008). "Depending on how conservative the inputs provided are, a higher or lower percentile should be used as an estimator of the reasonable worst case. If more or less typical values are
provided for all inputs, the 90th percentile of the output distribution is recommended for use in risk assessment. If conservative values are used for all Inputs, the 75th percentile of the output distribution is recommended for use in risk assessmen"t (ECHA,2012)
Is the REACH methodology for describing product categories and exposure scenarios used?
No
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Is banding of exposure potential used?
Yes, for the risk prioritizing part of the inhalation module the tool will calculate an overall
exposure score using an exposure algorithm. This score is not used directly (as the score itself does not represent a quantitative exposure level), but the score/result of the algorithm is used to assign a qualitative exposure band (1-4) on the logarithmic scale (see Table 7
below). For the dermal module, two different outputs are given: one health risk that refer to local
health effects and another health risk that refers to systemic effects after percutaneous uptake. In the algorithm peak actual exposure scores and internal exposure scores are calculated for local and systemic health effects, respectively, and these are then converted to
a banding scheme that indicates the significance of the exposure (Oppl et al. 2003) (See
Table 11 and Table 12 below)
Table 10: Assignment of exposure scores to exposure bands. (Marquart et al., 2008)
16. Exposure
band
17. Minimum
exposure score
18. Maximum
exposure score
19. 1 20. 0 21. 0.00002
22. 2 23. 0.00002 24. 0.002
25. 3 26. 0.002 27. 0.2
28. 4 29. 0.2 30. 20
Table 11 Peak actual exposure (AE) scores (for substances with local health effects) (Adopted from Oppl et al., 2003)
AEDPEAKscore x EBA score Actual exposure
AEPEAK scores
0.002 or less Negligible
>0.002-0.02 Low
>0.02-0.2 Moderate
>0.2-2 High
>2-20 Very high
>20 Extreme
AEDPEAK score = AERPEAK score x AT score, where AEDPEAK is the actual exposure dose,
AERPEAK is the actual exposure rate and AT is the activity time. EBA = exposed body area (cm
2). For further detail and information about the assignment of different scores, please refer
to Oppl et al. (2008).
157
Table 12 Internal exposure (IE) scores (for substances with systemic health effects after uptake) (Adopted from Oppl et al., 2003)
ED score x EBA score Relative IE score IE score
0.5 or less 0.007 or less Negligible
>0.5-5 >0.007-0.07 Low
>5-50 >0.07-0.7 Moderate
>50-500 >0.7-7 High
>500-5000 >7-70 Very high
>5000 >70 Extreme
ED score = ER score x AT score, where ED is the exposure dose score, the ER score is the exposure rate score and the AT score is the activity time score. The IE score = ED score x EBA score, where EBA is exposed body area. The relative IE score = IE score / 70 (related to
the standard body weight of 70 kg). The IE scores are then transformed into a banding scheme that indicates the significance of the internal exposure.
Dermal exposure The dermal module is incorporating the RISKOFDERM Toolkit (TNO). "Because of the integration in the total tool, some questions that are in the RISKOFDERM Toolkit do not appear in the dermal part of Stoffenmanager
because they are already covered in the general hazards part or the inhalation exposure part. This does not influence the actual risk assessment for dermal exposure" (Marquart et al., 2008). It is not entirely clear whether
RISKOFDERM is incorporated in its full form or if some modifications other that those cited have been made for
the version included in Stoffenmanager. Some parts of the evaluation of the dermal exposure module are therefore made on the basis of literature for the RISKOFDERM tool.
Which input parameters are required (including whether they are taken from a possible general input module) (dermal area exposed, amount/concentration, duration and frequency of use, indoor/outdoor, etc.):
Location/department
Product (chose from the products entered as described in Questionnaire 1 for the
general input module)
Dilution (if relevant)
Characterisation of the type of activity o Handling objects or surfaces with (possible) presence of the product
o Manuel dispersion of the product without a hand-held tool, but e.g. with hands, cloth or sponge
o Dispersion of product with hand-held tool, e.g. brush, roller, scoop,
broom or bucket o Spray dispersion of product o Immersing or dipping objects in product
o Mechanical treatment of solid objects or product
Different input parameters are then required, depending on the activity chosen. If 'Spray dispersion of product' is chosen as an example (with a liquid substance), following input parameters are then required:
How is the liquid best described?
o Like water, included foam
o Like solvent o Like oil or grease o Like solvent suspension (for example glues, paints, gels, pastes, and tars
with solvents) Does spraying create fine mist (Y/N) What is the distance to the source?
o One arm's length or less o More than one arm's length (including length of the hand tools)
Is the workroom small, narrow or enclosed (e.g. toilet) (Y/N)
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What is the working height during an activity? o Mostly at waist level o Mostly below waist level
o Mostly at or above shoulder level How much product is used per quarter of an hour?
o Less than 0.9L/quarter
o About 4.5. L/quarter o More than 22.5 L/quarter
Is the source segregated (Y/N)
Is local exhaust ventilation used (Y/N) Does workers wear working clothes (provided by employer) during the activity (Y/N) What is the total duration of the activity?
o Less than 6 minutes a day o 6-30 minutes a day o 30-60 minutes a day
o 1-4 hours a day o More than 4 hours a day
What uncovered parts of the body are exposed? (chose one or more options)
If a solid substance is chosen instead, other input parameters are required. Please refer to the actual tool (http://stoffenmanager.nl) for details.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
The Stoffenmanager is developed for use in an occupational setting, and therefore are the consumer exposure scenarios from activity 2.1/1.1 not addressed as consumer scenarios.
However, by-and-large, it is assessed that the dermal exposure resulting from the scenarios/activities that are covered within the tool could be used with caution to assess the scenarios from activity 2.1/1.1 (eg. handling of cleaning agents, coatings/impregnation or
maintenance products where dermal exposure is expected)
Are default factors applied (e.g. for default scenarios)? Which?
Exposure: Yes, default factors/calculations are used to estimate an exposure score, then again assigned an exposure band.
Hazards: Yes, default factors/algorithms are used to convert Hazards phrases to hazard bands.
Are default calculations applied (e.g. for default scenarios)? Which?
See above
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Liquids Solids (including powders)
Is dermal exposure following aerosol deposition and condensation of vapours addressed?
Included, but mechanisms not entirely clear how this is incorporated in the algorithms of the tool. It is stated that "potential dermal exposure may occur via three different routes of exposure: direct contact with the chemical, contact with contaminated surfaces (e.g. tools, tables, walls), and contact with an aerosol after deposition onto the body" (Oppl et al. 2003).
And if choosing 'Spray dispersion of product' in characterising the type of activity, an input parameter is required stating: 'Does spraying create fine mist (Y/N)', which is the closes
parameter that resembles an input requirement regarding aerosol formation.
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Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
NA, no quantitative exposure estimates are given in the dermal module
Is the effect of implemented risk management measures taken into account? Which/how?
Yes, different risk management measures are part of the modifying factors affecting exposure estimate. The effect of degree of automation, segregation, containment and ventilation is taken into account (MILJOE, 2003) (see Table 13)
Table 13 Correction factors for Control-related modifiers describing the typical effectiveness of control actions applied. The values in the Table are the modifier factors MFDC, MFSC, MFDEP
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
Location/department
Is the product a solid or liquid
o If solid: does the situation concern shaping by removing or cutting of material (Y/N)?
If yes: what kind of dust is released
Wood
Stone
If no: choose product (from the products entered as described in Questionnaire 1 for the general input module)
o If liquid:
Select product (from the products entered as described in Questionnaire 1 for the general input module)
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Select dilution
Characterisation of task
o If solid: No shaping by removing or cutting of material
Handling of products in closed containers
Handling of products in negligible amounts
Handling of products in very small amounts or situations where release is highly unlikely
Handling of products in small amount or in situations
where only low quantities of products are likely to be released
Handling of products with low speed or with little force in medium quantities
Handling of products with a relatively high speed/force which may lead to some dispersion of dusts
Handling of products or treatment of objects, where due to high pressure, speed or high force, large
quantities of dust are generated and dispersed
Handling of very large amounts of product
Shaping by removing or cutting of material
If wood is chosen
o Mechanical sanding of woods o Mechanical sanding of woods resulting in
fine dusts o Mechanical sanding of woods resulting in
coarse dusts or chips o Manual sanding of woods
o Low energy mechanical handling of wood resulting in less dusts
o Other mechanical handling of wood
If stone is chosen o Mechanical sawing and sanding of stone
o Mechanical handling and demolition of stone resulting in fine dusts
o Low energy mechanical handling of stone
o Low energy mechanical handling of stone resulting in less dusts
o If liquid:
Handling of liquids in tightly closed containers Handling negligible amounts of product Handling of liquids where only small amounts of product may
be released Handling of liquids at small surfaces or incidental handling of
liquids
Handling of liquids using low pressure, low speed and on medium-sized surfaces
Handling of liquids on large surfaces or large work pieces
Handling of liquids (using low pressure but high speed) without creating a mist or spray/haze
Handling of liquids at high pressure resulting in substantial
generation of mist or spray/haze
Duration of task
o 1-30 minutes a day o 0.5-2 hours a day o 2-4 hours a day
o 4-8 hours a day
Frequency of task o 1 day a year
o 1 day a month o 1 day per 2 weeks o 1 day a week
o 2-3 days a week o 4-5 days a week
Distance to task
o Is the task being carried out in the breathing zone of an employee (distance head-product <1m) (Y/N)?
o Is there more than one employee carrying out the same task simultaneously (Y/N)?
o Is the task followed by a period of evaporation, drying or curing (Y/N)?
Protection of employee o Is personal protective equipment applied? (Y/N)
If yes, different options can be selected
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Volume of working room
Characterization of type of general ventilation
o Spraying booth o General ventilation (open windows)
o General ventilation (mechanical) o No general ventilation
Daily cleaning of working room (Y/N)?
Are inspections and maintenance of machines/ancillary equipment being done at least monthly to ensure
good condition and proper functioning and performance (Y/N)?
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
"The Stoffenmanager prioritizes exposure to products. These may be preparations (e.g. a
paint), but can also be pure substances. Basic data on the products can be entered manually or (largely) from a database with product information, using a standard exchange format"
(Marquart et al., 2008). Thus, Stoffenmanager applies to products, where basic data from the
SDS are available. Since Stoffenmanager is developed for use in an occupational setting the consumer exposure
scenarios from activity 2.1/1.1 are not addressed as consumer scenarios. However some of the scenarios/activities that are covered within the inhalation module may also apply to the scenarios from activity 2.1/1.1 (e.g. handling of cleaning products, coatings/impregnation or
maintenance products where inhalation exposure is expected)
Are default factors applied (e.g. for default scenarios)? Which?
Exposure: Yes, default factors/calculations are used to estimate an exposure score, then
again assigned an exposure band. Hazards: Yes, default factors/algorithms are used to convert Hazards phrases to hazard
bands.
Are default calculations applied (e.g. for default scenarios)? Which?
See above.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No, not a nano tool.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Solids (including powders, but also solid objects)
Liquids
Is evaporation-condensation processes addressed and if so how:
No.
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass is used as metric for the quantitative exposure concentration. Output: mg/m³.
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Is the effect of implemented risk management measures taken into account? Which/how?
Yes, different risk management measures are a part of the modifying factors affecting the final exposure score. Different multipliers are given depending on the different local control
measures. An example of the scores for local control measures is given in Table 14. The different input parameters are:
Size of the working room Type of general ventilation Daily cleaning of working room (Y/N)
Are inspections and maintenance of machines/ancillary equipment being done at least monthly to ensure good condition and proper functioning and performance? (Y/N)
Available control measures: o No control measures at the source o Use of a product that limits the emission
o Local exhaust ventilation o Containment of the source o Containment of the source with local exhaust ventilation
Is the employee situated in a cabin? o The employee does not work in a cabin o The employee is situated in an open or closed cabin without specific
ventilation system o The worker is in a separated (control) room with independent clean air
supply Is personal protective equipment applied
o No protection o Filter mask P2 (FFP2) o Filter mask P3 (FFP3)
o Half-mask respirator with filter, type P2L o Half-mask respirator with filter, type P3L o Full-face respirator with filter, type P2L
o Full-face respirator with filter, type P3L o Half-/full-face powered air respirator TMP1 (particulate cartridge) o Half-/full-face powered air respirator TMP2 (particulate cartridge)
o Half-/full-face powered air respirator TMP3 (particulate cartridge) o Full-face powered air respirator TMP3 (particulate cartridge) o Hood or helmet with supplied air system TH1
o Hood or helmet with supplied air system TH2 Hood or helmet with supplied air system TH3
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Other relevant issues:
For the quantitative inhalation module, it is also possible to calculate a daily average
concentration. Inputs are:
Do you want to perform the calculation for vapours or for inhalable/Respirable
dust? o Liquid o Dust
Pick of (performed) risk assessment, for which you want to calculate daily average concentration
Duration (min)
Output is then an daily worst-case concentration (in mg/m³)
Figure 2 shows the applicability of the qualitative exposure module.
Product
Activity
Gas Volatile
liquids
Non-
volatile
liquids
Powders Fibers Objects
Moving and agitating n.a.
Gravitational transfer n.a.
Spreading and immersion n.a.
Air dispersive techniques n.a.
Hot work techniques n.a.
Abrasion and impact n.a. n.a. n.a. n.a. n.a.
Figure 7 The applicability domain for the qualitative inhalation exposure model (from https://stoffenmanager.nl/Public/Explanation.aspx#/#referenties (accessed 12.11.13)
Green = Falls in the applicability domain.
Red = Falls out of the applicability domain.
Orange = Applicability of this combination is unsure.
n.a. = Not applicable; this situation cannot occur.
Inhalation spray (not addressed):
Oral exposure (not addressed)
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Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
The hazard characterisation is done on the basis of the R/H-phrases of the product or substance according to the COSHH Essentials scheme
3
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
The R- and S-phrases or H- or P-phrases from the Safety Data Sheet for the substance or product is entered as the input parameter.
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
The risk prioritization part of the Stoffenmanager is not suitable for substances or products without SDS or products for which R-phrases are unknown or not available. If the tool must
be used for such substances, determination of the R-phrases should be done with the help of an expert.
The dermal module of the tool is not suitable for risk characterization of products containing substances which are labelled as both (very) toxic and corrosive.
The applicability of the quantitative inhalation exposure tool is pictured in Figure 7. It is
advised not to use this part of the tool for fibers, gases or substances released into the air as a result of hot working techniques.
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.: Yes, a hazard band is given for each substance on the basis on the R-phrases (or H-sentences according to the
CLP-GHS) entered according to the COSHH Essential scheme – see below:
3 http://www.coshh-essentials.org.uk/assets/live/CETB.pdf (accessed 12.11.13)
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Table 15 Allocation of R-phrases or GHS phrase to Hazard Group; concentration range (from http://www.coshh-essentials.org.uk/assets/live/CETB.pdf (accessed 12.11.13))
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
No
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
No, hazards are only linked to the R-phrases (or H-statements) for the substance.
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
NA, no quantitative dose descriptor applied.
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Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
The tool was developed as a control banding tool, and the results from the dermal exposure module are
qualitative. The output of the model combines the results from the exposure and hazard banding in a risk matrix, which gives a risk priority band (1, 2 and 3). For inhalation exposures, the tool contains a quantified and validated exposure model for estimating
inhalation exposure to both inhalable dust and vapour. Thus, for inhalation exposures the output can be both quantitative (giving exposure concentrations of tasks in mg/m³) and control banding.
Are risks evaluated in relation to specific exposure routes? Which/how?
Yes, inhalation and dermal exposure is covered in the tool.
Is there a facility to address combined exposures?
Not identified in reviewed material
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
The output for the control banding module is a risk priority band, which gives three different
bands with different colour codes: 1 = high priority (red) 2 = medium priority (yellow)
3 = low priority (green) See Table 9 below.
Table 16 Risk priority bands in Stoffenmanager (adapted from van Duurman-Stuurman et al. 2011)
Hazard band
Exposure band
A B C D E
1 3 3 3 2 1
2 3 3 2 2 1
3 3 2 2 1 1
4 2 1 1 1 1
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Is the outcome related to any risk management recommendations? Which/how?
After assigning a risk priority band, the tool enables the user to design a risk reduction scenario. A list of generic exposure control measures can be evaluated for their possibility to reduce exposures/risks. Subsequently, a new calculation of the risk priority band is completed
(implementation of a reduction scenario might not directly lead to a lower priority category though).
These control measures are presented in order of the 'STOP-principle' (substitution, technical measures, operational measures and personal protection). After completing the risk reduction scenario, an action plan is provided to the user. In addition the Stoffenmanager can be used to generate workplace instruction cards that are more readable and user-friendly than the
SDSs. For users from The Netherlands, Stoffenmanager can also help with building up registry for
CMR-substances (legally required in The Netherlands). Information for storage of dangerous substances and explosion safety can also be evaluated via Stoffenmanager.
Are uncertainties presented/addressed in the output? How?
No.
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The ANSES tool 5.5 The tool is available from: Not available as web-tool.
In addition, the following background material has been reviewed for filling in this template: ANSES (2010). Development of a specific Control Banding Tool for Nanomaterials. Request
N°2008-SA-0407 relating to Control Banding. Expert Committee (CES) on Physical Agents. French
agency for food, environmental and occupational health and safety.
Brouwer D. H. (2012). Control Banding Approaches for Nanomaterials, Ann. Occup. Hyg., Vol. 56,
no. 5 pp. 506-514, Oxford University Press
Riediker M., Ostiguy C., Triolet J., Troisfontaine P., Vernez D., Bourdel G., Thieriet N. and Cadène
A. (2012). Development of a Control Banding Tool for Nanomaterials, Research article, Journal of
Nanomaterials, Volume 2012, Article ID 879671, 8 pages
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Summary
The tool covers/addresses (tick or leave empty):
A general
input
module
Exposure-
dermal
module
Exposure-
oral module
Exposure –
general
inhalation
module
Exposure -
spray
module
Hazards
module
Output
module
*the tool does not cover a specific spray module, but it is included in the general inhalation module.
1. Type of tool
ANSES is a tier 0 control banding tool, which is developed to be used by in relation to laboratory and industrial
production environments. The tool is developed for use for persons with a sufficient level of expertise within the
fields of chemical risk prevention. The concept of the tool shall be seen in light of the French activities in ISO TC
229 (ISO technical committee addressing nanomaterials). It is noted in the reviewed literature that is has been
forwarded to ISO, but the outcome of this process is not evident. Further, to our knowledge, the tool has not yet
been implemented in a web-tool, making the assessment in this document somehow limited.
2. Input parameters
The input parameters for the exposure assessment are:
Physical form – matrix in which nanomaterial is used (Solid matrix, in suspension/liquid, as powder,
as free NM/aerosol)
In addition for solid matrices:
o Friable solids (release of NM under low stress)
o Dust generated by external forces (e.g. mechanical, electrical, laser forces)
o Melting?
o Dispersion in liquid
Liquids/suspensions:
o Highly volatile liquids (possibly generating NM powder – if so dustiness is required)
o Spraying?
o Generation of aerosol during process?
Powder
o Dustiness
o Spraying?
The input parameters for the hazard assessment (all parameters not always needed):
Does the product contain nanomaterials?
Is the nanomaterials classified (CLP)
Is it a biopersitent fibre?
If NM not classified: Classification of bulk (preferred) of analogues materials
Solubility
Reactivity
It is noted that the following parameters are not taken into account:
Quantity of products used
Duration
Frequency of exposure
3. Matrices/scenarios
As can be seen above, the tool addresses four categories of physical forms of nanomaterials: in solid matrices,
in liquid, suspensions, as powder and as aerosols, listed in order of increasing emission potential affecting the
exposure score. Exposure based waiving principles based on matrix are thus implicitly addressed.
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The ANSES is developed for use in an occupational setting, and the consumer exposure scenarios from activity
2.1/1.1 are therefore not directly addressed. The method might however be applied for possible consumer
inhalation related to all the scenarios identified in activity 2.1/1.1.
4. Overview
The tool focuses on reducing the risks associated with occupational inhalation exposure. Hazards are largely
based on classification (of NM or bulk/analogues substances) also taking into account possible fibre like
properties as well as solubility and reactivity.
Algorithms used are decision-based and not quantitative.
Output are qualitative exposure and hazard bands combined into risk bands, which in turn trigger various risk
control strategies (focusing on engineering control measure and explicitly not addressing personal protective
equipment).
5. Tool targeted at nano?
The ANSES methodology is targeted at nanomaterials and has quite some analogy to the Stoffenmanager nano
tool, in particular on the hazard side.
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Description and evaluation
Context of the method/tool
Who developed the tool/method?
The methodology was developed by an interdisciplinary and international expert team in
request to the French Ministry of Health, in agreement with the Ministries for the Environment and Labour, who had requested that ANSES conduct a collective expert appraisal specifically on Control Banding applied to manufactured nanomaterials. In turn the methodology should
via the French standardisation organisation be feed into the ISO process. The progress in ISO has not been evident from reviewed literature. ANSES is a nano-specific Control Banding tool.
For which purpose, products and/or processes:
The ANSES control banding method was developed as an alternative to quantitative risk assessment, considered uncertain for NMs. The method focused on a qualitative approach
focusing on risk prevention to protect workers exposed via inhalation to manufactured nanomaterials. Classifying manufactured nanomaterials in hazard bands will ultimately provide producers and users of these substances with input data for risk management
according to control levels, or ‘Control Banding’. Applicability of the tool: The output data from the tool should only be used for risk management if the regulatory
environment in force in the country considered has been taken into account. The control banding method requires regular updating of scientific and technical knowledge in order to better adapt the means of prevention implemented.
The method is not adapted to extreme situations, for example (ANSES, 2010):
If the nanomaterials are an extremely diluted component of the product used,
Or when handling large volumes, which requires special expertise.
Has the tool been validated for NMs?
“... the approach was not yet extensively tested and still needs to be validated to be truly
practical for the proposed group of users” (Riediker et al., 2012).
If not, what is the potential for testing/validating within this project?
Although not a real validation, we might be able to compare (i.e. benchmark) results from of this tool with those of other tools/information found in literature.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
The algorithms of the methodology are yes/no decision based and thus not quantitative. Thus, no quantitative algorithms are used.
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
The algorithms generally use higher bands if exposure could be higher and higher hazards than those of bulk/analogues substances are always assigned.
Describe the level of quantification of the output of the method/tool:
The output of the hazard banding module and the exposure banding module is qualitative. Thus, the final risk and control banding output of the model is qualitative.
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How are uncertainties addressed in the output of the method/tool:
This functionality is difficult to judge given the lacking web-application, but from the reviewed
literature, it is not obvious that the output will describe the uncertainty (considered implicitly covered in the control banding approach).
Describe level of expertise needed to use the method/tool, is it an expert tool?
ANSES is developed to be used by a person ‘adequately qualified in chemical risk prevention’ (Brouwer, 2012) and it is intended to be used in industrial companies, SMEs and academic
institutions. Input parameters to the assessment are selected on the basis of the availability of these parameters and only a few parameters are applied, e.g. from the Safety Data Sheets.
However, though the tool seems easy and simple to apply for managing the risks of individual workplaces, the CB method applied to manufactured nanomaterials requires assumptions to
be formulated on information that is desirable but unavailable (Riediker et al., 2012). To be able to obtain the necessary parameters for this CB, the user should be proficient in chemical risk prevention and have some basic knowledge on nanomaterials and nanotoxicology
(Riediker et al., 2012). Also the output generated by the CB will have an impact on other processes of the overall
management system defined by the employer and a ‘central support’ that overlooks the risk management strategy and that provides risk assessment expertise is essential.
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Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
The input parameters for the exposure assessment are:
Physical form – matrix in which nanomaterial is used (Solid matrix, in
suspension/liquid, as powder, as free NM/aerosol)
In addition for solid matrices:
o Friable solids (release of NM under low stress) o Dust generated by external forces (e.g. mechanical, electrical, laser
forces)
o Melting? o Dispersion in liquid
Liquids/suspensions:
o Highly volatile liquids (possibly generating NM powder – if so dustiness is required)
o Spraying?
o Generation of aerosol during process?
Powder
o Dustiness o Spraying?
The input parameters for the hazard assessment (all parameters not always needed):
Does the product contain nanomaterials?
Is the nanomaterials classified (CLP)
Is it a biopersitent fibre?
If NM not classified: Classification of bulk (preferred) of analogues materials
Solubility
Reactivity
It is noted that the following parameters are not taken into account:
Quantity of products used
Duration
Frequency of exposure
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Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
Not addressed in reviewed literature
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
Implicitly addressed via considering NMs in different matrices having different exposure potentials.
Is exposure assessment based on worst case or average values for the various input parameters?
Exposure bands are assigned taking into account potential for release of free nanoparticles. This could be considered a general conservative approach is used in assigning exposure
bands.
Is the REACH methodology for describing product categories and exposure scenarios used?
No
Is banding of exposure potential used?
The module is using an emission potential band approach qualitatively estimate an overall
emission potential (see Figure 8 below). ANSES covers the emission potential by initial banding based on physical state of the material, ranging from solid (exposure band 1) to aerosol (exposure band 4). Further modification of the bands (increments) is possible either
due to the substance emission potential or due to the process operations (activity emission potential) (Brouwer, 2012). ANSES covers the source domains 2-4; however, it is unclear whether the emission during synthesis (domain 1) may be covered as well (Brouwer, 2012).
Dermal exposure (not addressed)
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
The input parameters for the exposure assessment are:
Physical form – matrix in which nanomaterial is used (Solid matrix, in
suspension/liquid, as powder, as free NM/aerosol)
In addition for solid matrices:
o Friable solids (release of NM under low stress) o Dust generated by external forces (e.g. mechanical, electrical, laser
forces)
o Melting? o Dispersion in liquid
Liquids/suspensions:
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o Highly volatile liquids (possibly generating NM powder – if so dustiness is required)
o Spraying?
o Generation of aerosol during process?
Powder
o Dustiness o Spraying? o
It is noted that the quantity of the products used, the duration and the frequency of the exposure are not taken into account. The input parameters are all quantitative and in the
figure below the banding of the emission potential can be seen. How input parameters affect the exposure band is shown in Figure 8
Figure 8: ANSES exposure bands (figure adopted from ANSES (2010))
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
The ANSES methodology is developed for use in an occupational setting, and the consumer
exposure scenarios from activity 2.1/1.1 are therefore not directly addressed. The method might however be applied for possible consumer inhalation related to the scenarios identified in activity 2.1/1.1.
Are default factors applied (e.g. for default scenarios)? Which?
No default factors are applied, since all input parameters are qualitative.
Are default calculations applied (e.g. for default scenarios)? Which?
No default calculations are applied, since all input parameters are qualitative.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
The tool does not assess aggregation/agglomeration in the product. Aerosols are incorporated as one of the categories in the exposure bands and modification of the bands is
177
possible either due to the substance emission potential or due to the process operation (Brouwer, 2012), see also above figure.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
The following four matrices are addressed, listed in order of increasing emission potential affecting the exposure score:
Solid
Liquid
Powder
Aerosol
Is evaporation-condensation processes addressed and if so how:
Evaporation is qualitatively assessed under EP2, liquids. Highly volatile liquids are assigned 1 extra band as powders could be generated.
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
No quantitative estimates are used.
Is the effect of implemented risk management measures taken into account? Which/how?
No, but the output are suggestions of risk management measures.
Inhalation spray (no specific module, but part of above inhalation module):
Oral exposure (not addressed)
Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
The module is using a hazard band approach, where a hazard band (HB1-HB5, where HB1 is
the lowest hazard and HB5 is the highest) is assigned on the basis of the input parameters for the nanomaterials or the characterisation from the parent material (see below).
HB1 = Very low: No significant risk to health
HB2 = Low: slight hazard – slightly toxic effects rarely requiring specific medical
follow-up
HB3 = Moderate: moderate to significant health effects requiring specific medical
follow-up HB4 = High: unknown health effects or serious hazard: material highly toxic, sensitising, or with unknown effects on health or the environment. Emission
or exposure in the environment requires a specific survey.
HB5 = Very high: severe hazard requiring a full hazard assessment by an expert.
In the figures (Figure 9 and Figure 10) below the interactive decision-making (based on input parameters) and the hazard banding can be seen.
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Figure 9: A flowchart showing the input parameters and the hazard banding (figure adopted from ANSES (2010)).
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Figure 10: Hazard banding according to classification and labeling (figure adopted from
ANSES (2010))
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
The input parameters for the hazard assessment (all parameters not always needed):
Does the product contain nanomaterials?
Is the nanomaterials classified (CLP)
Is it a biopersitent fibre?
If NM not classified: Classification of bulk (preferred) of analogues materials
Solubility
Reactivity
Size as such is not considered to be a separate hazard parameter (Brouwer, 2012).
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
The tool is suitable for any type of nanomaterial, as long as the amount handled are neither
too diluted nor of excessive volume. However, for the highest risk/control band, the user is advised to conduct a full risk
assessment
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
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The ANSES methodology uses the CLP classification, as the starting point for the hazard banding process if the MNM is not a biopersistent fibre. Hazard parameters such as dissolution time and reactivity may increase the hazard band (Brouwer, 2012).
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
If information on the toxicology of the nanomaterial or product containing is incomplete or non-existent, the substance that is chemically closest to the nanomaterial should be
considered: bulk material, analogous material (ANSES, 2010). When the bulk material exists, it takes precedence over the analogous material (ANSES, 2010). Finally if there are several choices for the same bulk (analogous) material, the most toxic one shall be taken into account (ANSES, 2010).
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
The methodology focuses on inhalation.
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
Not relevant as no quantitative dose descriptor applied.
181
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
The tool provides qualitative risk control banding. The output of the model combines the
results from the hazard and emission potential bands in a matrix of control classes. Each control level corresponds to technical solutions for collective prevention to be implemented at the work station (ANSES, 2010).
Are risks evaluated in relation to specific exposure routes? Which/how?
The methodology addresses inhalation exposure
Is there a facility to address combined exposures?
Not addressed in reviewed literature.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
The output is a matrix of control classes, which gives five different bands with different colour codes:
CL1 = Natural or mechanical general ventilation (white)
CL2 = Local ventilation: extractor hood, slot hood, arm hood, table hood, etc.(light
grey)
CL3 = Enclosed ventilation: ventilated booth, fume hood, closed reactor with
regular opening (dark grey)
CL4 = Full containment: continuously closed systems (light green)
CL5 = Full containment and review by a specialist required: seek expert advice (dark green)
See Table 9 below.
Table 17 Matrix of control classes in ANSES (adapted from ANSES 2010)
Is the outcome related to any risk management recommendations? Which/how?
Yes, the outcome is qualitative technical solutions for collective prevention to be implemented at the work station. It should be noted that the wearing of personal protective equipment has deliberately not been taken into account (ANSES, 2010). Furthermore the result of the
approach should be reviewed as soon as circumstances change (process modifications, development of scientific knowledge or state of the art, etc.) (ANSES, 2010).
182
Are uncertainties presented/addressed in the output? How?
Uncertainties within the model are not addressed in the reviewed literature for the ANSES tool.
183
Swiss Precautionary Matrix 5.6 The tool as a web-tool is available from: http://www.bag.admin.ch/nanotechnologie/12171/12174/12175/index.html?webgrab_path=aHR0cDovL3d
3dy5iYWctYW53LmFkbWluLmNoL25hbm9yYXN0ZXIvcG9ydGFsX2VuLnBocD9tb2Q9YSZsYW5nPWVu&lang=en
and the guide: Wegleitung zum Vorsorgeraster für Synthetische Nanomaterialien BAG/BAFU 2011, Version 3.0, 16.09.2013
Available from: http://www.bag.admin.ch/nanotechnologie/12171/12174/index.html?lang=en
- at present only as a German version
In addition, the following background material has been reviewed for filling in this template: Guidelines on the Precautionary Matrix for Synthetic Nanomaterials Version 2.1, 2011
184
Summary
The tool covers/addresses (tick or leave empty):
A general
input
module
Exposure-
dermal
module
Exposure-
oral module
Exposure –
general
inhalation
module
Exposure -
spray
module
Hazards
module
Output
module
x (x) (x) (x) x x
(x) exposure addressed but not on specific exposure route level
1. Type of tool The Swiss Precautionary Matrix for Synthetic Nanomaterials is a scoring tool considering exposure potential, hazard potential and level on information for evaluating whether further precautionary actions are
needed in relation to consumers, workers or the environment for the current/ intended use of a nanomaterial. Can be considered as a tier 0 level tool. The tool shall only be used if the substance has nano relevant properties, e.g. primary particles < 500 µm or e.g. fulfil the EU definition as a nanomaterial.
2+3: Input parameters + matrices/scenarios Input data pertain to:
Physico-chemcial characteristics regarding primary particles size, specific surface area, no of particles in the nano-range, agglomeration in order to evaluate whether the substance can be identified as nano relevant e.g. in relation to the EU definition of a nanomaterial. The nano relevance is extended to a cut-off
point of 500 nm for primary particles in the approach Then the following information has to be used as input for grading at 3-4 different levels for each parameter:
- Information level of the nanomaterial (0- 3-5 points for each of four types of information) - Reactivity of the NM (1-5-9 points) - Lifetime (stability) in the body of the NM (1-5-9 points) (-here information concerning coating
is also requested) - Matrix description (various categories from aerosols to solid matrices) (0.0001- 0.01- 0.1-1
points)
- Volume of NM to which the consumer is in contact per event (1-5-9 points) - Frequency (1-5-9 points)
No specific product types are addressed in the approach so in principle it includes all products/ scenarios identified in WP 1.1/2.1.
4. Overview Hazard is evaluated based on the reactivity of the nanomaterial (redox potential; ROS generation; (photo-) catalytic properties; potential for inflammation) and on the degree of persistency in the human body (hours;
days/weeks; months). Consumer exposure is evaluated (scored) based on consideration of liberation from the matrix (four
graduations from 0.0001 to 1) and an estimation of the total volume (three graduations: < 1.2 mg; < 12 mg; >12 mg) of nanomaterial per day that the consumer may be exposed to from the product/ article. Also frequency (three graduations: monthly; weekly; daily) of exposure is included in the overall exposure
score. Further, an additional scoring is added if the information level is low and data for e.g. lack of ID of NM, lack
on data on physicochemical parameters or impurities.
For the overall evaluation the exposure scores are multiplied with the hazard scores and to this figure
scores for the lack of information is added.
If the overall score is above 20, further precautionary measures are recommended whereas a score of 20
or below does not call for further action.
A high degree of precaution is built into the tool as input with “unknown” for a specific parameter results in
a default scoring at the highest level. 5. Tool targeted at nano? Although developed for nanomaterials the approach in its exposure scoring procedure take only account of
mass based dose metrics.
185
For the purpose of our project, some aspects may be considered for further use e.g. how to evaluate (or score) matrix effects, reactivity, persistence in the body (stability) or how to treat lack of information.
186
Description and evaluation
Context of the method/tool
Who developed the tool/method?
Federal Office of Public Health in Switzerland
For which purpose, products and/or processes:
To help industry with a framework for responsible handling of nanomaterials. The tool
enables risk banding in two classes (A or B) for either occupational risk, consumer risk or environmental risk. Class A indicates no concern whereas class B indicate that further action is needed regarding risk management measures or collection of further information.
Has the tool been validated for NMs?
Specifically developed for nanomaterials (validation of this is not specif ied in reviewed literature/material)
If not, what is the potential for testing/validating within this project?
Although not a real validation, the project might at a later stage decide to compare outcome with that of other tools.
Describe the level of quantification of the algorithms of the different modules of the method/tool: Various parameters are given semi-quantitative estimates divided in 3-4 different levels.
E.g.:
Consumer exposure (Ev) = Matrix effect (E1A,V ) x dose (E2.4) x frequency (E2.5) Matrix effect scores, e.g.: 1 (free in air); 0.1 (in liquid); 0.01 (solid matrix but migration of
NM); 0.0001 (solid matrix non-migrable NM) Dose: <1.2 mg (score 1); <12 mg (score 5); >12 mg (score 9)
Frequency: monthly (score 1); weekly (score 5); daily (score 9)
Hazard (WA,V) = reactivity (W1) x stability (W2A,V ) Reactivity: low (score 1); medium score (score 5); high (score 9) with respect to either redox
activity, ROS generation or (photo-) catalytic effects or potential for inflammation Stability: persistence in the human body of hours (score 1), days/weeks (score 5), or months
(score 9)
Precautionary need (VV ) = Nanodef (N A,V ) x (exposure (Ev) x hazard (WA,V)+ information level(I) )
Information level:
Nano ID known (score 0); Nano ID known to some extent (score 3); No information (score 5)
+ score for level of physic-chemical characteristics. Sufficient data (score 0), some data (score 3), no data (score 5) + score for impurities or other factors of influence. Sufficient data (score 0), uncertain data
(score 3), no data (score 5) If the overall score is below 20 the substance is in class A (no concern). Scores at 20 and
higher means the substance is placed in class B which mean further actions in relation to risk management or further collection of data.
187
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Uncertainties are addressed in a precautionary manner as lack of information or ticking in the “unknown” box for a specific parameter by default results in worst case assumption with a maximum score. .
Describe the level of quantification of the output of the method/tool:
The output is a qualitative ranking at two different levels: class A (no further precautionary actions needed) and class B (further precautionary action is needed for reducing uncertainty or risk In addition to this the overall calculated score can be seen and it can be seen which
fraction of the score is due to “unknowns”.
How are uncertainties addressed in the output of the method/tool:
Uncertainties in terms of lack of knowledge (I) or ticking in “unknown” for a parameter
increase the scoring due to default worst case scoring. The fraction of the overall scoring that pertains to “unknown” scoring can be seen in the output.
Describe level of expertise needed to use the method/tool, is it an expert tool?
Some experience with interpretation/evaluation of physico-chemical properties in relation to characteristics for nanodefinition and in relation to evaluation of reactivity and stability is
needed otherwise the tool is an non-expert tool
Other relevant issues:
The approach addresses the NM as such but does not provide guidance on specific uses or product categories
188
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
Before the approach is used several criteria for definition of a nanomaterial has to be fulfilled e.g. if primary particles of the material < 500 nm or it complies with the EU nano-definition Nano ID and a series of physico-chemical characteristics should if available be identified.
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
No
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
Graduation of exposure is made. No exposure based waiving.
Is exposure assessment based on worst case or average values for the various input parameters?
No specific methods for evaluating the exposure but exposure assessment should be made whether exposure per day is <1.2 mg NM; 1.2-12 mg NM; >12 mg NM
Other relevant issues:
Matrix factors are used e.g. a matrix factor of 10
-4 is used for a solid matrix and 0.1 for a liquid
matrix whereas a factor of 1 is used for aerosols < 10 µm. In relation to aerosols the
inhalation route is specifically mentioned as relevant, otherwise exposure routes are not further specified.
Although developed for nanomaterials the approach take only account of mass based dose
metrics (e.g. exposure to xx mg NM/ day).No other metrics such as surface area or particle
number are addressed.
Is the REACH methodology for describing product categories and exposure scenarios used?
No
Is banding of exposure potential used?
Yes banding within each of the parameters: four levels of matrix effects; three levels of daily exposure; and three levels for frequency of use.
Dermal exposure (not explicitly addressed)
189
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
Inhalation is mentioned as the cause for the high scoring of aerosols but otherwise not further addressed
Inhalation spray (not specifically addressed):
Oral exposure (not specifically addressed)
190
Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
The tool is estimating hazard in terms of reactivity (scored with 1-5-9 points) multiplied by the stabilbity/ persistence of the nanomaterial (scored with 1-5-9 points)
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
Nano ID; characterisation of physico-chemical parameters; redox activity; ROS generation; (photo) catalytic properties; inflammation potential; stability in humans (hours/ days/ months)
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
No limitations indicated as long as the criteria for the nano relevance apply. No specific considerations regarding fibres.
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
Reactivity is scored with either 1-5-9 points based on a table where specific well-known nanomaterials have been scored. Stability/ persistence in the body have to be scored on case
by case assumptions and allocated 1-5-9 points if the particle is persistent in the body for hours, days/weeks, or months.
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
No mentioning of how to use data on bulk form
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
No
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
No metrics applied to the hazard parameters
191
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories. Below is given an example of the output. A precautionary triangle is made with the scoring for consumer (VV) at the top of the triangle. A table indicate the level of scoring and another table indicate how much scorings due to
“un known” input influence the overall scoring.
Are risks evaluated in relation to specific exposure routes? Which/how?
No
192
Is there a facility to address combined exposures?
No
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
Output is class A (no concern) or class B (further measures/considerations have to be taken),
see also output above.
Is the outcome related to any risk management recommendations? Which/how?
In general no specific risk managements are recommended other than trying to achieve further knowledge if scoring is highly dependent on lack of data and unknowns. However one example is given as how to proceed:
Are uncertainties presented/addressed in the output? How?
Se output figure above indicating scoring due to “unknowns”.
193
ECETOC TRA 5.7
ECETOC TRA version 3
The tool is available from: http://members.ecetoc.org/Documents/Document/20120705110808-ConsumerTRA_Ver3_2May2012.zip
In addition, the following background material has been reviewed for filling in this template: ECETOC 2004. Targeted Risk Assessment, Technical Report No. 93
ECETOC 2009. Addendum to Targeted Risk Assessment Report No. 93. Technical Report No 107. ECETOC 2012. ECETOC TRA version 3: Background and rationale for the improvements. Technical Report No. 114.
194
Summary
The tool covers/addresses (tick or leave empty):
A general
input
module
Exposure-
dermal
module
Exposure-
oral module
Exposure –
general
inhalation
module
Exposure -
spray
module
Hazards
module
Output
module
x x x x (x) X (possibility
to enter
reference or
DNEL-values)
x
(X) as a part of the inhalation module
1. Type of tool
The Ecetoc Tra tool for consumer exposure is a conservative tool for estimating exposure and risk. It is a tier 0
and tier 1 tool for exposure assessment as the tool operates with a high level of default values, but several
possibilities for using specific values exists. The tool is made by experts/ specialists but is not an expert tool.
Some experience regarding exposure estimation is needed for using the tool and get meaningful output.
2. Input parameters:
Input parameters are:
Mandidatory parameters:
Vapour pressure
References value (e.g. DNELs) for the various exposure routes
Select product subcategory and type of use
Optional parameters (otherwise default values used):
Concentration in the products
Amount of product used per event
Skin contact area (adult/ children)
Oral Contact area (of product adult/children)
Dermal or oral transfer factor
3. Matrices/Scenarios
The tool can be used for getting a rough and conservative quantitative output in terms of exposure and risk for
preselected products and articles. The included products and articles (see attachment for the products articles
that are covered) covers various kinds of matrices (e.g. liquids; aerosols; pastes; solids; textiles, paper,
plastics).
Overall, most of the use scenarios/ product categories identified in WP 1.1/2.1 are covered by the product/
article t categories in ECETOC TRA tool. However, food/ beverages; cosmetics; medical devices and
construction materials are not included in the ECETOC TRA model. See Table 18 for product categories and
article categories included in the model.
4. Overview
195
Both dermal, inhalational and oral exposure routes are considered but from the start it is anticipated for each of
the product subcategories whether exposure via a specific exposure route is it all relevant and also whether
children may be exposed or not.
196
For the dermal exposure the following algorithm is used for calculating exposure:
Parameter Produc
t Ingredi
ent
(g/g)
Contact
Area (cm
2)
Transfer
Factor (unitless)
FreQuenc
y of use (events /
day)
Thickness
of Layer (cm)
Density
(g/cm3)
Conve
rsion Factor (mg/g)
Body
Weight (kg)
Exposure
(mg/kg/day)
Algorithm (PI x CA x TF x FQ x TL x D x 1000) / BW
For inhalational exposure the following algorithm is used for calculating exposure:
Product
Ingredient
(g/g)
Amount Product Used per Application
(g/event)
FreQuency of use
(events / day)
Fraction Released
to Air3
(g/g)
Dilution Fraction (unitless)
Exposure Time
(hr)
(PI x A x FQ x F x DF x ET x
Inhalation
Rate (m
3/hr)
Conversion
Factor
Room
Volume (m
3)
Body
Weight (kg)
Inhalation Exposure
Estimate
(mg/kg/day)
Inhalation
Exposure
Estimate
(mg/m3)
Basis for inhalation exposure
IR x 1000) / (V x BW) SVC=saturated vapour
concentration
197
For oral exposure the following algorithm is used for calculating exposure:
Parameter:
Product
Ingredient (g/g)
Volume of
product swallowed
(cm3)
Transfer Factor
(unitless)
FreQuency of
use (events / day)
Density
(g/cm3)
Conversion
Factor (mg/g)
Body
Weight (kg)
Exposure
(mg/kg/day)
Algorithm: (PI x V x TF x FQ x D x 1000) / BW
The estimated dermal, oral and inhalational exposure is in the output module compared to a reference value for hazard (in REACH termed as a DNEL value) and a risk characterisation ratio, RCR is
calculated. There is, however, no tool for development of the reference value and the value should be known from beforehand and as a start be given as an input to the model.
Overall, the ECETOC TRA is a rough tool and a tool at a screening level for consumer exposure. There is a great overlap of the parameters in the WP 2.3 template and in ECETOC TRA tool (e.g.)
concentration.; dose per use; frequency, matrix effects; differentiation in the various exposure route. ). However differences also exist:
- with respect to frequency of use this refers to number of uses per day and thus ECETOC TRA does not take into account of frequency in a larger time scale e.g. weekly/ monthly or yearly.
- for dermal exposure calculation the ECETOC TRA takes into account how large a skin area that may be exposed from the various products categories, the thickness of the product layer on the
skin and how large a fraction of the substance that is actually available for exposure from the matrix (a default value of 100% is used).
- for inhalation exposure the amount of product liberated in to air is considered, the dilution factor for this amount (room volume and ventilation rate) and the respiratory rate of the consumer.
5. Tool targeted at nano?
The ECETOC TRA is a tool using mass based dose metrics and it can be used for estimating the mass based exposure to an ingredient e.g. a nanomaterial from a product. It is not possible to
include and consider further nano relevant metrics such as particle size distributions, agglomeration, surface area or partic le number and use these parameters for exposure estimation.
198
Description and evaluation
Context of the method/tool
Who developed the tool/method?
Developed by ECETOC - one of Europe’s leading industry association for developing and
promoting science in human and environmental risk assessment of chemicals. Members include the main companies with interests in the manufacture and use of chemicals, biomaterials and pharmaceuticals, and other organisations active in these fields.
For which purpose, products and/or processes:
To develop a tool for evaluating consumer and worker (and environmental) exposure. Developed as a tier 1 tool for making exposure scenarios under REACH. ECETOC has
developed the so-called TRAM program, which enables the users to prepare exposure scenarios under REACH. This TRAM program includes both the calculation modules for consumers, workers and the environment. The user can enter all identified uses throughout
the life-cycle, and do all relevant calculations
Has the tool been validated for NMs?
The tool has to our knowledge not been validated as such, but is regulatory accepted via
inclusion in the REACH guidance.
In the Nanex project (2010), the ECETOC TRA tool and its models were evaluated and it was
concluded that the tool in principle was applicable for estimating consumer exposure from
products (in relation to mass based exposure). However, the tool cannot take into account
nano-specific information/properties such as particle size distributions, agglomeration,
surface area or particle number which especially may be important for inhalation exposure.
If not, what is the potential for testing/validating within this project? The tool can be considered applicable within the framework of this project when mass based information is given for the content of nanomaterials in the products and for a mass based
outcome of the exposure. The tool is, however, not applicable for handling nanospecific information such as particle size distributions, agglomeration, surface area or particle number which especially may be important for inhalation exposure. May be validated to other tools
where using mass based metrics.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
See algorithms in summary section. Point estimates are used for the parameters in the quantitative algorithms
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Not specifically addressed. However, default assumptions for the exposure estimations are
considered as conservative i.e. above an average exposure and the model would in most cases overestimate exposure when compared to higher tiered models.
Describe the level of quantification of the output of the method/tool:
Output as quantitative point estimate in relation to exposure or the RCR value
How are uncertainties addressed in the output of the method/tool:
199
Uncertainty is not addressed in the output
Describe level of expertise needed to use the method/tool, is it an expert tool?
It is not an expert tool. Some experience regarding exposure estimation is needed for
using the tool and get meaningful output.
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
The Product category and subcategory has to be selected in order to use the right default factors for exposure estimation (see attachment). Further specific data on concentration, contact areas (oral, dermal), amount can be chosen instead of default values. Vapour
pressure and molecular weight are further parameters for input data.
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
No Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
Starting assumptions/ conclusions whether exposure by a specific exposure route is relevant
for a specific product category is relevant or not has to be taken. Thus some exposure based adaptation is built in.
Is exposure assessment based on worst case or average values for the various input parameters?
Conservative default parameters are used so the exposure assessment may be considered as worst case
Is the REACH methodology for describing product categories and exposure scenarios used?
Yes
Is banding of exposure potential used?
No
200
Dermal exposure Which input parameters are required (including whether they are taken from a possible general input module) (dermal area exposed, amount/concentration, duration and frequency of use, indoor/outdoor, etc.):
The following algorithm is used for estimating dermal exposure:
Parameter Product Ingredie
nt (g/g)
Contact Area (cm
2)
Transfer Factor
(unitless)
FreQuency of use
(events / day)
Thickness of Layer
(cm)
Density (g/cm
3)
Conversion
Factor (mg/g)
Body Weight
(kg)
Exposure (mg/kg/day)
Algorithm (PI x CA x TF x FQ x TL x D x 1000) / BW
Various default parameters are given for the various product types.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
Overall, most of the use scenarios/ product categories identified in WP 1.1/2.1 are covered by the Product categories in ECETOC TRA tool. However, food/ beverages; cosmetics;
medical devices and construction materials are not included in the ECETOC TRA model.
Are default factors applied (e.g. for default scenarios)? Which?
Tables with various default factors are given. Also specific default factors for the various product types/article types are given.
Are default calculations applied (e.g. for default scenarios)? Which?
Default scenarios given for all the product and articles categories according to the algorithms, however options for modifying some of the factors are given
201
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
With relation to the transfer factor (i.e. the fraction of the dose that is available for exposure)
this is dependent of the matrix. The default factor is 100% unless another factor can be justified and used.
For products leading to dermal exposure the viscosity of the matrix may either lead to a default thickness layer on the skin layer of either 0.01 cm or 0.001 cm
Is dermal exposure following aerosol deposition and condensation of vapours addressed?
No
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass based metrics
Is the effect of implemented risk management measures taken into account? Which/how?
No, not in the consumer tool of ECETOC TRA
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
202
The following algorithm is used for estimating inhalation exposure:
Product
Ingredient
(g/g)
Amount Product Used per
Application (g/event)
FreQuency of use
(events / day)
Fraction Released to Air3 (g/g)
Dilution Fraction (unitless)
Exposure Time (hr)
(PI x A x FQ x F x DF x ET x
Inhalation Rate
(m3/hr)
Conversion Factor
Room Volume
(m3)
Body Weight
(kg)
Inhalation Exposure Estimate
(mg/kg/day)
Inhalation Exposure Estimate (mg/m3)
Basis for inhalation exposure
IR x 1000) / (V x BW) SVC=saturated
vapour concentration
Various default parameters are given for the various product types.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list): Overall, most of the use scenarios/ product categories identified in WP 1.1/2.1 are covered by the Product categories in ECETOC TRA tool. However, food/ beverages; cosmetics;
medical devices and construction materials are not included in the ECETOC TRA model.
203
Are default factors applied (e.g. for default scenarios)? Which?
Tables with various default factors are given. Also specific default factors for the various product types/article types are given.
Are default calculations applied (e.g. for default scenarios)? Which?
Default scenarios given for all the product and articles categories according to the algorithms, however options for modifying some of the factors is given
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Vapour pressure of substance is used as input in order to model fractions of evaporation
during use. However, for nanomaterials it would be the vapour pressure of the matrix/solution that is important for exposure rather than the vapour pressure of the nanomaterial itself
Is evaporation-condensation processes addressed and if so how:
See reply to above question
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass based metric i.e. mg/m3 and mg/kg bw/d
Is the effect of implemented risk management measures taken into account? Which/how?
No
Inhalation spray (not specific spray module, addressed under inhalation): Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation):
For spray scenarios the amount released to air is set to 100% is considered to be homogeneously mixed into the air of a room. Spray scenarios is otherwise not specifically
addressed, - so the questions below are not further addressed.
204
Oral exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use):
The following algorithm is used for estimating dermal exposure:
Parameter: Product
Ingredient (g/g)
Volume of product
swallowed (cm3)
Transfer Factor
(unitless)
FreQuency of use
(events / day)
Density (g/cm3)
Conversion Factor (mg/g)
Body Weight
(kg)
Exposure (mg/kg/day)
Algorithm: (PI x V x TF x FQ x D x 1000) / BW
Various default parameters are given for the various product types.
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
Overall, most of the use scenarios/ product categories identified in WP 1.1/2.1 are covered by the Product categories in ECETOC TRA tool. However, food/ beverages; cosmetics; medical devices and construction materials are not included in the ECETOC TRA model
Is dissolution in different gastric compartments addressed? If so how?
No
Are default calculations applied (e.g. for default scenarios)? Which?
Tables with various default factors are given e.g. childrens mouthing of an object with a default surface of 10 cm
2. Also specific default regarding where oral exposure is relevant or
not for the specific products.
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Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
With relation to the transfer factor (i.e. the fraction of the dose that is available for exposure) this is dependent of the matrix. The default factor is 100% unless another factor can be
justified and used
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass based metrics are used
Is the effect of implemented risk management measures taken into account? Which/how?
No
Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
Reference values (e.g. DNEL values should be used for input for making risk
characterisation. The value should be known as an input parameter from the start as no tool is available in the ECETOC TRA model for deriving the reference value. In the ECETOC (2004) report DNEL derivation is described, however using lower default assessment factors
than REACH
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
DNEL,TDI, ADI; toxic reference values.
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
May be used for all chemicals allowed in consumer products and should therefore not be
used for CMR substances category 1A or 1B
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
No
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
No
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Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
No
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
Mass based metrics…mg/kg bw/d and mg/m3
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
Based on the estimated exposure and the reference value for hazard (e.g. DNEL values),
quantitative risk characterisation ratios (RCRs) are calculated for dermal, inhalational, and oral exposure,
Are risks evaluated in relation to specific exposure routes? Which/how?
The RCR values are calculated for each specific exposure route
Is there a facility to address combined exposures?
Also the cumulated RCR (the RCR´s for the various exposure routes are added) is given.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
No
Is the outcome related to any risk management recommendations? Which/how?
No
Are uncertainties presented/addressed in the output? How?
No
207
Table 18 Product categories and article categories included in ECETOC TRA:
PC1:Adhesives, sealants Glues, hobby use
Glues DIY-use (carpet glue, tile glue, wood parquet glue)
Glue from spray
Sealants
PC3:Air care products Aircare, instant action (aerosol sprays)
Aircare, continuous action (solid & liquid)
PC9a: Coatings, paints, thinners, removers
Waterborne latex wall paint
Solvent rich, high solid, water borne paint
Aerosol spray can
Removers (paint-, glue-, wall paper-, sealant-remover)
PC9b: Fillers, putties, plasters,
modelling clay Fillers and putty
Plasters and floor equalizers
Modelling clay
PC9c: Finger paints Finger paints
PC12:Fertilizers Lawn and garden preparations
PC13:Fuels Liquids
PC24: Lubricants, greases, and release products
Liquids
Pastes
Sprays
PC31:Polishes and wax blends Polishes, wax / cream (floor, furniture, shoes)
Polishes, spray (furniture, shoes)
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PC35:Washing and cleaning products (including solvent based products)
Laundry and dish washing products
Cleaners, liquids (all purpose cleaners, sanitary products, floor
cleaners, glass cleaners, carpet cleaners, metal cleaners )
Cleaners, trigger sprays (all purpose cleaners, sanitary products, glass cleaners)
AC5:Fabrics, textiles and apparel Clothing (all kind of materials), towel
Bedding, mattress
Toys (cuddly toy)
Car seat, chair, flooring
AC6: Leather articles Purse, wallet, covering steering wheel (car)
Footwear (shoes, boots)
Furniture (sofa)
AC8: Paper articles Diapers
Sanitary towels
Tissues, paper towels, wet tissues, toilet paper
Printed paper (papers, magazines, books)
AC10: Rubber articles Rubber handles, tyres
Flooring
Footwear (shoes, boots)
Rubber toys
AC11: Wood articles Furniture (chair)
Walls and flooring (also applicable to non-wood materials)
Small toys (car, train)
Toys, outdoor equipment
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AC13: Plastic articles Plastic, larger articles (plastic chair, PVC-flooring, lawn mower, PC)
Toys (doll, car, animals, teething rings)
Plastic, small articles (ball pen, mobile phone)
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ConsExpo 5.8
ConsExpo version 5 (beta-version), evaluation
The tool is available from: http://www.rivm.nl/en/Documents_and_publications/Scientific/Models/Download_page_for_ConsEx
po_software
Note: A ConsExpo version 4.1 is also available from the above site. However, it appears not possible to install
the program on a 64-bit computer.
In addition, the following background material has been reviewed for filling in this template: D.E. Delmaar, M.V.D.Z. Park, J.G.M. van Engelen: ConsExpo 4.0. Consumer Exposure and Uptake Models. Program Manual. RIVM report 320104004/2005
211
Summary
The tool covers/addresses (tick or leave empty):
A
general
input
module
Exposure-
dermal
module
Exposure-
oral
module
Exposure –
general
inhalation
module
Exposure
- spray
module
Hazards
module
Output module
x x x x x
(X), exposure estimation as
output, no risk
assessment/characterisation
1. Type of tool
ConsExpo is an exposure estimation tool, which can both be used as a low tier tool and a higher tier tool at tier
2 level. In order to run the model, some training is needed even though it is quite user friendly. If the tool is on
the higher tier level, involving more detailed calculations, some expert knowledge is required in order to specify
the input data properly.
2. Input parameters
ConsExpo has defined a number of use scenarios involving selecting the product category (e.g. paint, cleaning
agents, cosmetics). There is no direct link between the use scenarios defined in ConsExpo and the PC/AC-
categories used for characterisation of uses in connection with REACH registration.
212
Overall, main identified use characteristics/ parameters are handled in the algorithms used in ConsExpo:
Exposure route Concen-
tration in
product
Contact
Area
Duration Frequenc
y of use
Amount Thickness
of Layer
Density Body
Weight
Operator x x (if
relevant)
X (decrease in
concentration with time
is considered)
X (Is used
to
calculate
d daily
average
exposure
level)
x x x /
ConsExpo takes into account if the substance is a part of the product, i.e. the concentration of the substance in the product is considered.
The use scenarios include the required parameters for carrying out oral, dermal and inhalation calculations. The parameters needed for doing higher tier calculations depend on the actual use
scenario, see below:
Exposure
route
Model
Parameters Model expression
All All General:
use frequency
body weight (Wbody)
product amount (A) or concentration (wf)
213
weight fraction compound (wf)
Molecular weight
Octanol-water partition coefficient
Vapor pressure
Inhalation Vapour
Instantaneous release
mode
exposure duration
room volume (V or Vroom)
ventilation rate (q)
(application duration) (tr)
(release area)
(mass transfer rate) (K)
(molecular weight matrix)
qtA
C
V
wfo
aire
Constant rate release
mode
t<tr (tr=release duration):
/(1 )
qtA w to f rC e
air qV
t>tr
/( )
(1 )
A to r qt q t tr r
C e eair
qV
wf
214
Evaporation release
mode
Differential equations (Aair: amount in air;
Aprod:amount of substance in product; Peq:
saturated concentration in air; Pair: actual
concentration)
( )air room
dAairP P Q Ceqdt
K Vair
( ) /air
dAP Peqdt
prodK A T w
tot app f
Spray spray duration
room height
(cloud volume)
mass release rate (Rspray)
airborne fraction (fairborne)
density solvent + non-volatile
particle distribution
inhalation cut-off diameter
The algorithm is to complex to write down.
The model is relevant to use for spray-
applied non-volatile substances. A droplet
size distribution of the aerosols is included.
Only droples with a size enabling penetration
to the alveolar region is considered to give
rise to inhalation exposure.
Dermal Instant application exposed area D: external dose
/D A wf Wprod body
Constant rate contact rate (R)
/D R t w Wbodyf
Rubbing off transfer coefficient (Rtrans) /D S F Warea dislodge body
wf
215
dislodgeable amount (Fdislodge)
contact time (t)
rubbed surface (Sarea)
max( , )maxS R t Sarea trans
Migration leachable fraction (Fleach)
skin contact factor (Scontact)
/D A S F Wo contact leach body
Diffusion compound concentration
diffusion coefficient (D)
layer thickness
exposure time
Diffusion equation
2( , )( , )
2
C x tD C x t
t x
Ingestion Direct oral intake ingested amount (A) /D A wf
Wbody
Constant rate ingestion rate (R)
exposure time (t)
/D R w t Wf body
Migration exposure time (t)
contact area (S)
initial migration rate (Rm)
/ (1 exp( ))R SmW t
body A wfD A w
f
Migration from
packaging material
thickness package
contact area
package amount
/consfood body
pack
AD A W
A
max( , )food migr compA R t A
216
ingested amount
storage time (t)
migration rate (Rm)
amount of packaged food (Apack)
amount of consumed food (Acons)
amount of compound in food (Afood)
217
3. Matrices/Scenarios
Matrix effects are not directly addressed in ConsExpo. However, the defined used scenarios include a pre-evaluation if the product is a liquid or a solid. A pre-assessment whether specific exposure routes are relevant
to include has been included in the pre-defined use scenarios in ConsExpo.
The below table addresses which scenarios identified in activity 2.1/1.1 are addressed in ConsExpo. It is seen
that not all scenarios are included. It is however possible to define and add new scenarios to ConsExpo. This
required expert knowledge.
Products/scenarios ConsExpo use
scenarios
Dermal
exposure
considered?
Inhalation
considered?
Oral exposure
considered?
Food and beverages No direct use
scenarios included
in ConsExpo
- - -
Cosmetics Hair care cosmetics Yes Yes No
Bath- shower
products Yes No No
Skin care cosmetics Yes No No
Makeup cosmetics Yes Yes Yes
Deodorant
cosmetics Yes Yes No
Oral care cosmetics No No Yes
Foot care products Yes No No
Fragrance products Yes Yes No
Cleaning agents Laundry products Yes Yes No
Dishwashing
products Yes Yes Yes
All-purpose
cleaners Yes Yes No
Abrasives Yes Yes No
Sanitary products Yes Yes No
Floor, carpet and
furniture products Yes Yes Yes
Miscellaneous
cleaning and
washing products
Yes Yes No
Coatings/impregnation
Maintenance products
Textiles No direct use
scenarios included
in ConsExpo
- - -
218
Construction material No direct use
scenarios included
in ConsExpo
- - -
4. Overview
No hazard module is included in ConsExpo, so any risk assessment has to be carried out outside ConsExpo.
ConsExpo includes all exposure routes. It calculates both the external dose and internal exposure (systemic).
So it has models included for the calculation of the uptake into the body. In addition it also calculates combined
exposure, I.e. accounting for both oral, dermal and inhalative exposure.
The results of a ConsExpo exposure calculation can be presented in different ways: as point values, as a graph
over (exposure) time, as a distributed result from a Monte Carlo simulation, and in a textual report. In addition,
sensitivity analysis of the exposure assessments can also be carried out in ConsExpo.
Exposures and doses are presented both per route and integrated over all routes. Per route various exposure
measures are calculated:
External inhalation exposure is calculated as the air concentration during exposure.
Different measures are: mean air concentration during a single exposure event; mean
air concentration on the day of exposure and year average air exposure.
Internal inhalation doses calculated are: the acute (amount taken up during one event
per kg bodyweight) and chronic (daily average of the amount taken up per kg
bodyweight) dose.
External dermal exposure is calculated as dermal load (amount of compound per cm2 of
exposed skin) or as external dose (the amount that can potentially be taken up per kg
bodyweight).
Internal dermal doses calculated are: the acute (amount taken up during one event per
kg bodyweight) and chronic (daily average of the amount taken up per kg bodyweight)
dose.
External oral exposure is calculated as external dose (the amount that can potentially be
taken up per kg bodyweight).
Internal doses are: the acute (amount taken up during one event per kg bodyweight) and
chronic (daily average of the amount taken up per kg bodyweight) dose.
The integrated doses are the summations of the corresponding doses per route
When one or more parameters have been specified as a distribution, ConsExpo can perform a distributed
(Monte Carlo) calculation. The program will draw a set of random numbers from the specified distributions for
distributed parameters and calculates the endpoint of choice with this set. For the non-distributed parameters
the specified point value is taken. The calculated exposure measure for the set is stored. This procedure is
repeated for a user-specified number of times (the number of Monte Carlo samples). The result of this
procedure is a distributed set of calculated exposures. Some characteristics of the distribution such as median,
standard deviation 90- and 99-percentile of the calculated distribution are reported.
The ConsExpo report gives an overview of the exposure calculation. It displays all parameter values and the
calculated exposures in the mass metric. The text can be saved to (text-) file or can be printed directly from
ConsExpo.
5. Tool targeted at nano? Even though ConsExpo is not targeted at nanomaterial exposure it can be used for mass based consumer
exposure assessment to nano-materials– with caution. As a tier 1 and tier 2 tool, the tool may be highly relevant
219
for use in his project e.g. to evaluate specific exposure scenarios further and also for evaluation of semi-quantitative exposure assessments in our project. If the standard use scenarios included in ConsExpo should be updated/modified so they better respond to the
characteristics of nano-materials inclusion of other dose metrics e.g. particle number exposure or particle
surface exposure may be considered in addition with further consideration on the liberation of free nanoparticles
from a product during use. Furthermore, it should be assessed if the uptake models should be modified, to
better account for the special behaviour of nano-materials.
It should be mentioned that RIVM is running a project looking on the suitability of ConsExpo to handle NM and if
any modifications should be introduced into ConsExpo. Currently we do not have any estimate of when this
project will be published.
220
Description and evaluation
Context of the method/tool
Who developed the tool/method?
ConsExpo is developed by RIVM - one of Europe’s leading institutes for assessing environmental and consumer exposure.
For which purpose, products and/or processes:
To develop a tool for evaluating consumer exposure to chemical substances. It has been used extensively by REACH registrants for preparing consumer exposure assessments.
Has the tool been validated for NMs?
The ConsExpo (version 4.1) was addressed in the Nanex project (2010). The tool was
concluded that is should be used with caution for estimating the external exposure in relation to inhalation; dermal exposure and oral exposure from products containing NMs as a part of the product and only in relation to its weight based fraction. The tool does not consider nano-
specific properties like particle size distributions, agglomeration, surface area or particle
number which especially may be important for inhalation exposure.. If not, what is the potential for testing/validating within this project?
The tool has to our knowledge not been validated as such, but is regulatory accepted via inclusion in the REACH guidance.
As a tier 1 and tier 2 tool, the tool may be highly relevant for use in his project e.g. to evaluate specific exposure scenarios further and also for evaluation of semi-quantitative exposure assessments in our project.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
The algorithms used for the calculations are all described in the manual and all results in
specific mass based exposure values. For the levels of detail in the calculation see the tables
in summary description .
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
It is possible to specify uncertainties in a number of the input parameters, and ConsExpo can carry out a Monte-Carlo based uncertainty analysis, so certain percentiles, e.g. 95% can be
chosen for the safety assessment.
Describe the level of quantification of the output of the method/tool:
The results of a ConsExpo exposure calculation can be presented in different ways: as point
values, as a graph over (exposure) time, as a distributed result from a Monte Carlo
simulation, and in a textual report. In addition, sensitivity analysis of the exposure
assessments can also be carried out in ConsExpo.
Exposures and doses are presented both per route and integrated over all routes. Per route
various exposure measures are calculated:
External inhalation exposure is calculated as the air concentration during exposure.
Different measures are: mean air concentration during a single exposure event; mean
air concentration on the day of exposure and year average air exposure.
221
Internal inhalation doses calculated are: the acute (amount taken up during one event
per kg bodyweight) and chronic (daily average of the amount taken up per kg
bodyweight) dose.
External dermal exposure is calculated as dermal load (amount of compound per cm2 of
exposed skin) or as external dose (the amount that can potentially be taken up per kg
bodyweight).
Internal dermal doses calculated are: the acute (amount taken up during one event per
kg bodyweight) and chronic (daily average of the amount taken up per kg bodyweight)
dose.
External oral exposure is calculated as external dose (the amount that can potentially be
taken up per kg bodyweight).
Internal doses are: the acute (amount taken up during one event per kg bodyweight) and
chronic (daily average of the amount taken up per kg bodyweight) dose.
The integrated doses are the summations of the corresponding doses per route
When one or more parameters have been specified as a distribution, ConsExpo can perform
a distributed (Monte Carlo) calculation. The program will draw a set of random numbers from
the specified distributions for distributed parameters and calculates the endpoint of choice
with this set. For the non-distributed parameters the specified point value is taken. The
calculated exposure measure for the set is stored. This procedure is repeated for a user-
specified number of times (the number of Monte Carlo samples). The result of this procedure
is a distributed set of calculated exposures. Some characteristics of the distribution such as
median, standard deviation 90- and 99-percentile of the calculated distribution are reported.
The ConsExpo report gives an overview of the exposure calculation. It displays all parameter
values and the calculated exposures. The text can be saved to (text-) file or can be printed
directly from ConsExpo.
How are uncertainties addressed in the output of the method/tool:
The results of a Monte Carlo analysis are reported in the output of the tool (if required), see above
Describe level of expertise needed to use the method/tool, is it an expert tool?
If the user only wants to use the standard use scenarios defined in the ConsExpo tool, then it is relatively straight-forward to run the model. However, the interpretation of the output
requires knowledge, not necessarily on expert level.
Other relevant issues:
The metric for exposure is weight based, so other relevant exposure metrics e.g. particle
number, surface area or considerations regarding the liberation of free nanoparticles during used are not taken into account.
222
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
If using the one of the default use scenarios included in ConsExpo, the product category has
to be selected in order to use the right default factors for exposure estimation. Not all NM product types are defined in the ConsExpo these have to be defined. This includes setting amount, concentration in product, exposure duration, contact areas, frequency for the various
exposure routes. Further specific data on vapour pressure, octanol-water partition coefficient and molecular
weight are further parameters for input data.
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
No
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
It has been evaluated in the standard use scenarios included in ConsExpo, if the various
exposure routes are relevant to consider. See below table.
Is exposure assessment based on worst case or average values for the various input parameters?
Different possibilities to assess the variability and uncertainty of the estimated exposure
levels are included in ConsExpo.
For some exposure assessments, the available information on the product use and/or the
compound of interest or the exposed consumer may be very limited. In these cases, a worst case exposure can be estimated by using first tier screening models requiring a minimum amount of information. The required parameters can also be filled out using worst case single
point values. It is also possible to calculate a more realistic worst case exposure for example by using of
parameter distributions instead of point values. This is based on Monte Carlo simulations as described above.
Is the REACH methodology for describing product categories and exposure scenarios used?
No.
Is banding of exposure potential used?
No
223
Dermal exposure (fill only in if addressed) Which input parameters are required (including whether they are taken from a possible general input module) (dermal area exposed, amount/concentration, duration and frequency of use, indoor/outdoor, etc.):
Model
Parameters
General input parameters General:
use frequency
body weight
product amount or concentration
weight fraction compound
(physicochemical properties)
Molecular weight
Octanol water partition coefficient
Vapor pressure
Instant application exposed area
Constant rate contact rate
Rubbing off transfer coefficient
dislodgeable amount
contact time
rubbed surface
Migration leachable fraction
skin contact factor
Diffusion compound concentration
diffusion coefficient
layer thickness
exposure time
224
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
ConsExpo includes a number of default use scenarios. These are defined in an Access database. It is relatively straight-forward to include new use scenarios in the database. The following scenarios for the identified NM-product types identified in WP1.1/2.1 are
included.
Products/scenarios ConsExpo use scenarios
Food and beverages No direct use scenarios included in ConsExpo
Cosmetics Hair care cosmetics
Bath- shower products
Skin care cosmetics
Makeup cosmetics
Deodorant cosmetics
Oral care cosmetics
Foot care products
Fragrance products
Cleaning agents Laundry products
Dishwashing products
All-purpose cleaners
Abrasives
Sanitary products
Floor, carpet and furniture products
Miscellaneous cleaning and washing products
Coatings/impregnation Painting products
Do-it-your-self-products
Maintenance products Painting products
Do-it-your-self-products
Textiles No direct use scenarios included in ConsExpo
Construction material No direct use scenarios included in ConsExpo. The below
use scenarios may in some cases be useful.
Painting products
Do-it-your-self-products
Are default factors applied (e.g. for default scenarios)? Which?
225
When selecting a use scenario, then default parameters are defined, and the user does not need to specify any further parameters.
Are default calculations applied (e.g. for default scenarios)? Which?
When selecting a use scenario, then default parameters are defined, and the user does not need to specify any further parameters.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Matrix effects are not directly addressed. However, the default use scenarios have included a setting of the matrix (liquid, solid)
Is dermal exposure following aerosol deposition and condensation of vapours addressed?
No
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The models operate with mass based metrics, so other nanomaterial relevant parameters
such as particle number or particle surface area exposure cannot be used.
Is the effect of implemented risk management measures taken into account? Which/how?
Not directly, but it is possible by changing some of the parameters (e.g. contact area) to include some risk management measure.
226
Inhalation exposure (fill only in if addressed) Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
Model
Parameters
All General:
use frequency
body weight
product amount or concentration
weight fraction compound
(physicochemical properties)
Molecular weight
Octanol-water partition coefficient
Vapor pressure
Inhalation of vapour
Vapour
exposure duration
room volume
ventilation rate
(application duration)
(release area)
(mass transfer rate)
(molecular weight matrix)
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
See previous answer on dermal exposure.
Are default factors applied (e.g. for default scenarios)? Which?
When selecting a use scenario, then default parameters are defined, and the user does not need to specify any further parameters.
Are default calculations applied (e.g. for default scenarios)? Which?
When selecting a use scenario, then default parameters are defined, and the user does not
need to specify any further parameters.
227
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Matrix effects are not directly addressed. However, the default use scenarios have included a setting of the matrix (liquid, solid)
Is evaporation-condensation processes addressed and if so how:
No
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The models operate with mass based metrics, so other nanomaterial relevant parameters
such as particle number or particle surface area exposure cannot be used.
Is the effect of implemented risk management measures taken into account? Which/how?
Not directly, but it is possible by changing some of the parameters (e.g. air retention time in
room) to include some risk management measure.
Other relevant issues:
-
Inhalation spray (fill in if a specific spray module is part of the tool): Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation):
228
Model
Parameters
All General:
use frequency
body weight
product amount or concentration
weight fraction compound
(physicochemical properties)
Molecular weight
Octanol water partition coefficient
Vapor pressure
All inhalation models:
Inhalation - Spray spray duration
room height
(cloud volume)
mass release rate
airborne fraction
density solvent + non-volatile
particle distribution
inhalation cut-off diameter
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
ConsExpo includes a number of default use scenarios. These are defined in an Access database. It is relatively straight-forward to include new use scenarios in the database.
Some scenarios for the identified NM-product types are included. See table in summary.
Are default factors applied (e.g. for default scenarios)? Which?
When selecting a use scenario, then default parameters are defined, and the user does not need to specify any further parameters.
Are default calculations applied (e.g. for default scenarios)? Which?
When selecting a use scenario, then default parameters are defined, and the user does not need to specify any further parameters.
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?
No
229
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Matrix effects are not directly addressed. However, the default use scenarios have included a setting of the matrix (liquid, solid).
Is evaporation-condensation processes addressed and if so how:
No
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The models operate with mass based metrics, so other nanomaterial relevant parameters
such as particle number or particle surface area exposure cannot be used.
Is the effect of implemented risk management measures taken into account? Which/how?
Not directly, but it is possible by changing some of the parameters (e.g. contact area) to include some risk management measure.
Other relevant issues:
-
Oral exposure (fill only in if addressed) Oral exposure and uptake from compounds in consumer products may occur for example due
to mouthing objects or exposed hand to mouth contact. ConsExpo provides two models for
oral exposure: exposure through direct ingestion of the product (direct intake, constant rate,
migration from a mouthed product) containing the compound and a secondary exposure
model to estimate exposure from compounds in packaging material that migrate to food.
The oral model calculates the external dose as a measure of external exposure. The external
dose equals the maximum possible (potential) dose of the exposure event.
Internal exposure is calculated using the oral uptake models as the internal (systemic) dose,
i.e. the total amount of compound taken up into the blood per kilogram bodyweight.
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Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use):
Type of
oral
exposure
Direct ingestion
Packaging
material
Sub-type of
oral
exposure
direct intake constant rate migration from a
mouthed
product
Packaging
material
Input Concentration
Amount
ingested
Concentration
Ingestion rate
Exposure
duration
Product amount
Exposure
duration
Concentration
Contact area
Initial migration
rate
Concentration
Package amount
Ingested amount
Thickness
package
Contact area
Output External dose
Internal
exposure
External dose
Internal
exposure
External dose
Internal
exposure
External dose
Internal exposure
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
See previous answer on dermal exposure.
Is dissolution in different gastric compartments addressed? If so how?
No
Are default calculations applied (e.g. for default scenarios)? Which?
When selecting a use scenario, then default parameters are defined, and the user does not need to specify any further parameters.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Matrix effects are not directly addressed. However, the default use scenarios have included a setting of the matrix (liquid, solid)
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
The models operate with mass based metrics, so other nanomaterial relevant parameters such as particle number or particle surface area exposure cannot be used.
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Is the effect of implemented risk management measures taken into account? Which/how?
Effects of implemented ris management measures are not directly taken into account. But is possible to include the effects, e.g. by reducing contact area or similar.
Questionnaire 3: Hazards Module (not addressed in tool)
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
No risk characterisation is included in ConsExpo. Exposure estimates are given as output.
Are risks evaluated in relation to specific exposure routes? Which/how?
-
Is there a facility to address combined exposures?
-
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
-
Is the outcome related to any risk management recommendations? Which/how?
-
Are uncertainties presented/addressed in the output? How?
-
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DREAM 5.9
DeRmal Exposure Assessment Method (DREAM)
The tool is available from: No online tool available. Van-Wendel-De-Joode B, Brouwer DH, Vermeulen R, Van Hemmen JJ, Heederik D, Kromhout H (2003). DREAM: A method for Semi-quantitative Dermal Exposure Assessment. Ann. Occup. Hyg. 47(1), pp. 71-87.
In addition, the following background material has been reviewed for filling in this template: Van-Wendel-De-Joode B, Van Hemmen JJ, Meijster T, Major V, London L, Kromhout H (2005). Reliability of a semi-quantitative method for dermal exposure assessment (DREAM). Journal of Exposure Analysis and Environmental Epidemiology. 15, pp. 11-120.
Van Duuren-Stuurman B, Pelzer J, Moehlmann C, Berges M, Bard D, Wake D, Mark D, Jankowska E, Bouwer D (2010). A Structured Observational Method to Assess Dermal Exposure to Manufactured Nanoparticles: DREAM as an Initial Assessment Tool. International Journal of Occupational and Environmental Health, 16(4), pp. 399-405(7). (Only abstract reviewed)
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Summary
The tool covers/addresses (tick or leave empty):
A general input module
Exposure-dermal module
Exposure-oral module
Exposure – general inhalation module
Exposure - spray module
Hazards module
Output module
()
1. Type of tool
The tool is a tier 0 tool to be used by occupational health professionals when evaluating dermal
exposure in a workplace setting.
2. Input parameters
The method consists of two parts, an inventory and an evaluation part. The inventory part is the input
module, where a multiple choice questionnaire is filled out by a professional after observing the
worker(s). The input parameters are:
Company:
General information about the company and observer Department
Chemical or biological agents that occur in the work environment
Cleaning activities at the department
Agent Physical-chemical characteristics of the substance, e.g.
Concentration of active ingredient in the substance
Physical state
Boiling temperature
Viscosity
Formulation (powder, granules)
Dustiness
Stickiness
Job
Hygienic behaviour
Number of people with the job title
Task
Percentage of time that the task is performed
Number of people performing the task
Exposure to a substance assessed for a certain task
Probability and intensity of dermal exposure routes (emission, transfer
and deposition) (per body part)
Use of clothing (per body part) (covered vs. uncovered body parts,
clothing material, repeated use of clothing)
Contamination of work environment
3. Matrices/Scenarios
It is possible to address solids (incl. powders/granules), liquids and vapours using DREAM. No
exposure based waving principles are used in this context. The method is used for exposure
assessments for chemical and biological agents. The scenarios from activity 2.1/1.1 are not covered
by the method, since no default scenarios are used. An occupational health professional defines
which activities the tasks comprise. It is an occupational tool, and no consumer scenarios are
therefore directly addressed. However, the method might be used for dermal consumer exposure
assessments more generally, since the determinants of exposure could be applied to consumer
scenarios as well.
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4. Overview
Hazards are not assessed by the approach, only dermal exposures are assessed. The model
estimates potential and actual dermal exposure by summing contributions from emission from the
source, plus deposition and transfer processes, while taking account of the protection afforded by
clothing and gloves. The exposure algorithms are semi-quantitative, as they are based on weighted
effects of exposure determinants (on logarithmic scale). The output of the model is semi-quantitative
as it is given in DREAM units, which are categorized, ranging from low to extremely high exposure.
An overview of the evaluation part of DREAM is given in Figure 11 below.
5. Tool targeted at nano?
The tool is not targeted nano, but might be relevant for dermal exposure to nanomaterials. However, a
shortened version of the tool has been demonstrated applicable for occupational dermal exposure in
the EU FP7 NANOSH project (Van Duuren-Stuurman et al., 2010)
Figure 11 Summary of the evaluation part of DREAM. Each estimate is determined by a set of underlying variables. The range of the estimates are in brackets (Adopted from Van-Wendel-de-Joode et al., 2010).
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Context of the method/tool
Who developed the tool/method?
The method was developed by the Dutch TNO Chemistry, Department of Chemical Exposure Assessment and the Institute for Risk Assessment Sciences, Utrecht University, The Netherlands and the Division of Cancer Epidemiology and Genetics, National Cancer
Institute, USA based on a conceptual model developed by the National Insitute for Occupational Health, Denmark (now the National Research Centre for the Working Environment, Denmark).
For which purpose, products and/or processes:
The method was developed to assess and evaluate occupational dermal exposure to chemical agents.
Has the tool been validated for NMs?
No. But a shortened version of DREAM was used within the NANOSH project as an initial
method to assess dermal exposure and the results of the survey showed that it was feasible and useful to use the shortened version of DREAM for this purpose (Van Duuren-Stuurman et al. 2010)
If not, what is the potential for testing/validating within this project?
Although not a real validation, we might compare with results from other tools/methods.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
The exposure algorithms are semi-quantitative, as they are based on weighted effects of
exposure determinants (on logarithmic scale).
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
Not specified in the reviewed literature.
Describe the level of quantification of the output of the method/tool:
The evaluation algorithms result in numerical estimates for exposure levels on both the outside clothing layer and skin after taking into account the reductive effect of clothing, on the skin .The output is
given in DREAM units, ranging from 0-40545. The output can therefore be seen as semi-quantitative.
How are uncertainties addressed in the output of the method/tool:
Not addressed
Describe level of expertise needed to use the method/tool, is it an expert tool?
DREAM is an expert tool/method, since an occupational health professional need to fill out the input parameters in the inventory questionnaire, based on observations of the worker(s).
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Other relevant issues:
The DREAM method consists of two parts, an inventory and an evaluation part. In the
evaluation part both potential dermal exposure and actual dermal exposure for nine different body parts are evaluated, as well as total dermal exposure. Potential dermal exposure concerns exposure on clothing and uncovered skin, where actual exposure is defined as exposure on skin (Van-Wendel-De-Joode et al., 2003).
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
The inventory part comprises a hierarchically structured (multiple choice) questionnaire with
six modules:
1. Company:
General information about the company and observer 2. Department
Chemical or biological agents that occur in the work environment
Cleaning activities at the department
3. Agent
Physical-chemical characteristics of the substance , e.g.
i. Concentration of active ingredient in the substance ii. Physical state iii. Boiling temperature
iv. Viscosity v. Formulation (powder, granules) vi. Dustiness
vii. Stickiness 4. Job
Hygienic behaviour
Number of people with the job title 5. Task
Percentage and of time that the task is performed
Number of people performing the task
6. Exposure to a substance assessed for a certain task
Probability and intensity of dermal exposure routes (emission, transfer
and deposition) (per body part)
Use of clothing (per body part) (covered vs. uncovered body parts,
clothing material, repeated use of clothing)
Contamination of work environment
Each of the answers to the questionnaire corresponds to a pre-assigned value that is subsequently put into the evaluation algorithm.
237
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
Seems not addressed based on the reviewed literature
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
No
Is exposure assessment based on worst case or average values for the various input parameters?
Not specified in reviewed literature
Other relevant issues:
In the DREAM model, evaluation of exposure takes place at task level, assessing both potential and actual dermal exposure. Potential exposure concerns exposure on clothing and
uncovered skin, and the potential exposure estimate is a product of dermal exposure due to three different exposure routes: emission, transfer and deposition.
Actual exposure is defined as exposure on skin, and is the potential exposure multiplied with the clothing protection factor (see Table 21).
The exposure route estimates are the products of probability and intensity of each exposure route, assessed for each body part, and multiplied by estimates of intrinsic emission. Intrinsic emission concerns physical and chemical characterisations of the substance, see Table 19
below.
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Table 19 Determinants for 'intrinsic emission' estimate (Adopted from van-Wendel-de-Joode et al., 2010)
Is the REACH methodology for describing product categories and exposure scenarios used?
No
Is banding of exposure potential used?
The calculated dream score lead to inclusion in exposure potential bands.
Dermal exposure (fill only in if addressed) Which input parameters are required (including whether they are taken from a possible general input module) (dermal area exposed, amount/concentration, duration and frequency of use, indoor/outdoor, etc.):
The exposure module is a part of the general input module ("inventory"). The input parameters that contribute to the exposure estimate are:
1. Emission to clothing and uncovered skin; and immersion of skin into agent
Unlikely
Occasionally
Repeatedly
Almost constantly 2. Intensity (= amount of agent) of emission
Small amount
Medium amount
Large amount 3. Exposure route factors
Emission
Deposition
Transfer
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4. Probability of deposition on clothing and uncovered skin
Unlikely
Occasionally
Repeatedly
Almost constantly
5. Intensity of deposition on clothing and uncovered skin
Small amount
Medium amount
Large amount
6. Transfer to clothing and uncovered skin : Contact with surfaces, or tools, occurs:
Unlikely
Occasionally
Repeatedly
Almost constantly 7. Intensity of transfer: Contamination level of contact surface
Not contaminated
Possibly contaminated
< 50% of contact surface
≥ 50% of contact surface 8. Body surface factor
Head
Upper arm
Forearm
Hands
Torso front
Torso back
Lower body part
Lower leg
Feet
See
Table 20 for more information, including assigned values.
240
Table 20 Exposure module – exposure routes: direct emission, transfer and deposition (Adopted from Van-Wendel-De-Joode et al., 2003)
242
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
No, an occupational health professional defines which activities the tasks comprise and no default scenarios are used. It is an occupational tool, and no consumer scenarios are
therefore directly addressed. However, the method may be used for consumer exposure assessments more generally, since the determinants of exposure could be applied to consumer scenarios as well.
Are default factors applied (e.g. for default scenarios)? Which?
Yes, each exposure determinant is assigned with a default value that decrease and increase on a log scale, see Table 19. The direction of the default values (increasing vs. decreasing exposure) are derived from the literature and expert judgment.
Are default calculations applied (e.g. for default scenarios)? Which?
See above.
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
Solids (including powders/granules), liquids and vapours are addressed.
Is dermal exposure following aerosol deposition and condensation of vapours addressed?
Deposition is taken into account in the exposure model: "Deposition in skin or clothing describes mass transport from air. In this case, the contaminant mass (e.g. small particles
with aerodynamic diameter of <100 µm, such as vapours, mists) is first released into the air and subsequently deposited on skin or clothing" (Van-Wendel-De-Joode et al., 2003)
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Not applicable, only semi-quantitative exposure estimates are derived.
Is the effect of implemented risk management measures taken into account? Which/how?
The effect of protective personal equipment (clothing or gloves) is taken into account as specified in Table 21 below. Different values are assigned depending on the clothing used, and these values are then used in the evaluation part.
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Table 21: Exposure module – determinants of 'clothing' estimate (Adopted from Van-Wendel-De-Joode et al., 2003)
245
Inhalation exposure (not addressed)
Inhalation spray (not addressed):
Oral exposure (not addressed)
Questionnaire 3: Hazards Module (not addressed)
Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
The results from the exposure assessment are semi-quantitative exposure estimates. The output is in DREAM units (ranging from 0-40545).
"The DREAM estimates form an initial assessment of dermal exposure at task level, which allows the ranking of tasks, or (groups of) workers, by grouping them according to their
DREAM estimate; for example, when aiming at 'hazard evaluation or control." (Van-Wendel-De-Joode et al., 2003)
Are risks evaluated in relation to specific exposure routes? Which/how?
Risks are not evaluated.
Is there a facility to address combined exposures?
No, only dermal exposure is covered by the tool. However, it is possible to calculate exposure estimates for a specific task by summing combined exposure to different individual body
parts.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
The output is given in DREAM units, which are grouped into DREAM categories:
0 = no exposure
0-10 = very low
10-30 = low
30-100 = moderate
100-300 = high
300 – 1000 = very
high
> 1000 = extremely high
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Is the outcome related to any risk management recommendations? Which/how?
No
Are uncertainties presented/addressed in the output? How?
No
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Margin of Exposure 5.10
Margin of Exposure in: Consumer Product Ingredient Safety: Exposure
and Risk Screening Methods for Consumer Product Ingredients
The tool is available from: Not a tool/web-tool
In addition, the following background material has been reviewed for filling in this template: Key reference: American Cleaning Institute: Consumer Product Ingredient Safety: Exposure and Risk Screening Methods for Consumer Product Ingredients 2nd Edition, 2010, American Cleaning Institute, Washington DC
248
Summary
The tool covers/addresses (tick or leave empty):
A general input module
Exposure-dermal module
Exposure-oral module
Exposure – general inhalation module
Exposure - spray module
Hazards module
Output module
(x) (x) (x) (x) (x) (x) (x)
1. Type of tool
Not a tool as such, but an approach/framework (i.e. more “guidance type”), developed by the
American Cleaning Institute to "present methodologies and specific consumer exposure information
that can be used for screening-level risk assessments of environmental and human exposures to high
production volume (HPV) chemicals through the manufacturing and use of consumer products, mainly
laundry, cleaning, and personal care products" (American Cleaning Institute, 2010). The intended
users are chemical risk assessors in government agencies, businesses, and stakeholder groups, and
a certain level of experience within the fields of consumer product exposure and risk assessment is
needed.
2. Input parameters
The algorithm used for calculating the margin of exposure (MOE) is:
𝑀𝑂𝐸 =𝐷𝑜𝑠𝑒 − 𝑅𝑒𝑠𝑝𝑜𝑛𝑠𝑒 𝑡ℎ𝑟𝑒𝑠ℎ𝑜𝑙𝑑
(𝑃𝑟𝑜𝑑𝑢𝑐𝑡 𝐸𝑥𝑝𝑜𝑠𝑢𝑟𝑒(𝑃𝐸) ∗ 𝐼𝑛𝑔𝑟𝑒𝑑𝑖𝑒𝑚𝑡 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛 (𝐼𝐶)
Input parameters for estimation of PE are listed below and the PE estimates are based on several
screening exposure concentrations.
For inhalation exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Airspace volume (m³)
Respirable product concentration in breathing zone (mg/m³)
Exposure duration (hr)
Bioavailable fraction (%)
Respirable fraction (%)
Body weight (kg)
Product exposure (mg/kg/day)
Model equation/formula
For dermal exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Product amount used per day (g/day)
Product use concentration (%)
Product use concentration (g/cm3)
Contact area (cm2)
Product retained (%)
Film thickness (cm)
Transfer to skin (%)
Dermal absorption (%)
Body weight (kg)
Scaling: Duration of exposure
Product exposure (mg/kg/day)
Model equation/formula
For oral exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
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Product amount used per use (g/use)
Product use concentration (g/cm3)
Product retained (ml/cm2)
Dish area containing food (cm2)
Fraction ingested (%)
Body weight (kg)
Product exposure (mg/kg/day)
Model equation/formula
In order to obtain PE estimates, a data matrix has been constructed for several categories of
consumer products:
"The data matrix provides exposure factors (e.g. frequency of use, duration of use, amount of use per
occasion) and equations used to estimate oral, inhalation, and dermal exposures for the key
scenarios of each consumer product category. It should be noted that the exposure estimates are
provided in terms of product, not specific chemical substance."
These exposure factors result in a PE value for that route of exposure and type of exposure scenario.
An example of the data matrix for obtaining PE estimates is shown in Table 22 below.
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Table 22 Summary of model equations used to calculate Product Exposure (PE) for dermal, oral and inhalation exposure routes (Adopted from American Cleaning institute, 2010)
252
The Ingredient Concentration (IC) estimates are based on information from industry surveys from companies that produce the products in question. The information collected from the
surveys was compiled to develop a minimum and maximum IC (in %) for each product category.
The selection of the dose-response threshold is based on the No Adverse Effect Level (NOAEL). The most sensitive repeated-exposure toxicity endpoint (i.e., lowest NOAEL when a
range of values is available) is chosen as default for the initial screening-level risk characterization. In the consulted background literature, it is not specified how to address non-threshold
substances (without a NOAEL).
3. Matrices/Scenarios
The approach is used for evaluating substances as a part of a consumer product. Some of the scenarios from activity 2.1/1.1 are possible to address using the tool, in particular the
scenarios concerning cosmetics, cleaning agents and possibly textiles as well (e.g. dermal exposure from wearing clothes). However, "the approach can be applied generally to other
consumer products when information on how consumers use the products is available" (American Cleaning Institute).
4. Overview
Hazards are evaluated on the basis of the lowest NOEAL (in mg/kg bw per day). In order to evaluate exposures both inhalation, dermal and oral exposure routes are considered. In
general, the PE estimates are based on a 60kg body weight for women. However, for products designed for a specific target population (e.g. men or children), representative body weights
for those populations are used. It is possible to address combined exposures, since the exposure estimates (PExIC) may be aggregated either within each product category or across
product category. The level of quantification for both algorithms and output is quantitative.
5. Tool targeted at nano?
The tool is not a nano-tool, but might be used with caution or modified for the scenarios to be addressed in this project.
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Description and evaluation
Context of the method/tool
Who developed the tool/method?
American Cleaning institute (formerly: The Soap and Detergent Association (SDS))
For which purpose, products and/or processes: "(…) to present methodologies and specific consumer exposure information that can be used for screening-level risk assessments of environmental and human exposures to high
production volume (HPV) chemicals through the manufacturing and use of consumer products, mainly laundry, cleaning, and personal care products" (American Cleaning Institute,
2010). The main purpose of this framework is to serve as a priority-setting tool for future work
on the basis of their hazards and exposure potential.
Has the tool been validated for NMs? No
If not, what is the potential for testing/validating within this project?
Although not a validation, result from using the approach might be compared with results from other methods/tools.
Describe the level of quantification of the algorithms of the different modules of the method/tool:
The algorithms are quantitative.
How are uncertainties addressed in the algorithms of the different modules of the method/tool:
The algorithms are conservative, since they use worst case assumptions about exposure, "including default assumptions of high-end PE estimates, ingredient concentration ranges for
the category applied to all product types irrespective of the actual chemical concentration, and the use of the lowest NOAEL" (Amercian Cleaning Institute, 2010)
Describe the level of quantification of the output of the method/tool:
The output of the tool is a margin of expose (MOE), based on quantitative data on dose-
response thresholds, and exposure estimates.
How are uncertainties addressed in the output of the method/tool:
The output MOEs are based on worst-case values. "The assumptions are deliberately
designed to be conservative in order to avoid risk decisions based on “false negatives.”"
(American Cleaning Institute, 2010)
Describe level of expertise needed to use the method/tool, is it an expert tool?
The framework is targeted chemical risk assessors in government agencies, businesses and stakeholder groups, and therefore a certain level of expertise is required.
254
Questionnaire 1: General input module
List the NM/product characteristics required as input parameters:
The input for the MOE/screening-level risk characterization algorithm are Product Exposure
(PE), Ingredient Concentration (IC, %) and NOAEL. The PE component is an estimate of exposure to the consumer product (mgproduct/kg BW/day).
A PE data matrix has been constructed, which provide exposure factors (e.g. frequency of use, duration, amount of use per occasion, etc.) and equations used to estimate exposures (both inhalation, dermal and oral) for the key scenarios of each consumer product category.
The exposure estimates provided are in terms of product, not specific chemical substance. Table 23 shows an example of the inhalation exposure parameters for estimating PE, including default high-end input values.
255
Table 23 Inhalation Exposure Parameters to Estimate Screening Exposures to Consumer products – Europe (Adopted from American Cleaning institute, 2010)
For dermal exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Product amount used per day (g/day)
Product use concentration (%)
Product use concentration (g/cm3)
Contact area (cm2)
Product retained (%)
Film thickness (cm)
Transfer to skin (%)
Dermal absorption (%)
Body weight (kg)
Scaling: Duration of exposure
Product exposure (mg/kg/day)
Model equation/formula
256
For oral exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Product use concentration (g/cm3)
Product retained (ml/cm2)
Dish area containing food (cm2)
Fraction ingested (%)
Body weight (kg)
Product exposure (mg/kg/day)
Model equation/formula
Questionnaire 2: Exposure module
General issues Is background exposure taken into account, including whether this has been considered relevant for consumer exposure:
No
Are exposure based waiving principles applied (e.g. in relation to NMs bound in solid matrices or others):
No
Is exposure assessment based on worst case or average values for the various input parameters?
Worst case estimates are used for the exposure estimates.
Is the REACH methodology for describing product categories and exposure scenarios used?
No
Is banding of exposure potential used?
No
Dermal exposure Which input parameters are required (including whether they are taken from a possible general input module) (dermal area exposed, amount/concentration, duration and frequency of use, indoor/outdoor, etc.):
For dermal exposure, the following parameters are used to estimate PE (not all are relevant
for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Product amount used per day (g/day)
Product use concentration (%)
Product use concentration (g/cm3)
Contact area (cm2)
Product retained (%)
Film thickness (cm)
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Transfer to skin (%)
Dermal absorption (%)
Body weight (kg)
Scaling: Duration of exposure
Product exposure (mg/kg/day)
Model equation/formula
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
Yes, products within the categories
Soap and detergents (including all-purpose cleaners) (scenario is relevant compared to activity 2.1/1.1. list)
Personal care and cosmetics (scenario is relevant compared to activity 2.1/1.1. list)
Baby care products
Fragrances (See Table 24 for more details)
Are default factors applied (e.g. for default scenarios)? Which?
Yes, default factors for exposure parameters used to estimate PE for are applied. See Table 24.
258
Table 24 Dermal Exposure Parameters to Estimate Screening Exposures to Consumer products – Europe (Adopted from Amercian Cleaning institute, 2010)
260
Are default calculations applied (e.g. for default scenarios)? Which?
Yes, see above
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
<…….>
Is dermal exposure following aerosol deposition and condensation of vapours addressed?
No
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass based metric is applied
Is the effect of implemented risk management measures taken into account? Which/how?
No
Inhalation exposure Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use, indoor/outdoor, room volume/ventilation, etc.):
For inhalation exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Airspace volume (m³)
Respirable product concentration in breathing zone (mg/m³)
Exposure duration (hr)
Bioavailable fraction (%)
Respirable fraction (%)
Body weight (kg)
Product exposure (mg/kg/day)
Model equation/formula
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list):
Yes, products within the categories:
Soap and detergents (including all-purpose cleaners) (scenario is relevant
compared to activity 2.1/1.1. list)
Personal care and cosmetics (scenario is relevant compared to activity 2.1/1.1. list)
Fragrances
Miscellaneous
o Paints (scenario is relevant compared to activity 2.1/1.1. list) o Lubricants (scenario is relevant compared to activity 2.1/1.1. list)
o Paper products and processing o Other – pharmaceuticals o Other – metal working fluid
(See Table 23 for more details)
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Are default factors applied (e.g. for default scenarios)? Which?
Yes, default factors for exposure parameters used to estimate PE for are applied. See Table 23.
Are default calculations applied (e.g. for default scenarios)? Which?
See above
Is aggregation/agglomeration in product and aerosol dynamics addressed? How?:
No
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
<…….>
Is evaporation-condensation processes addressed and if so how:
No
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass based metric applied
Is the effect of implemented risk management measures taken into account? Which/how?
No
Inhalation spray (fill in if a specific spray module is part of the tool):
Sprays are addressed as explained above for inhalation exposure.
Oral exposure (fill only in if addressed) Which input parameters are required (including whether they are taken from a possible general input module) (amount/concentration, duration and frequency of use):
For oral exposure, the following parameters are used to estimate PE (not all are relevant for all product types):
Product use frequency (use/day)
Product amount used per use (g/use)
Product use concentration (g/cm3)
Product retained (ml/cm2)
Dish area containing food (cm2)
Fraction ingested (%)
Body weight (kg)
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Product exposure (mg/kg/day)
Model equation/formula
Are specific product types and/or scenarios addressed? Which? (compare with Activity 2.1/1.1 list)
Yes, products within the categories:
Soap and detergents (including all-purpose cleaners) (scenario is relevant
compared to activity 2.1/1.1. list)
Personal care and cosmetics (scenario is relevant compared to activity 2.1/1.1. list)
Food and food additives (scenario is relevant compared to activity 2.1/1.1. list)
Is dissolution in different gastric compartments addressed? If so how?
No
Are default calculations applied (e.g. for default scenarios)? Which?
Yes, default factors for exposure parameters used to estimate PE for are applied. See
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Table 25 Oral Exposure Parameters to Estimate Screening Exposures to Consumer products – Europe (Adopted from Amercian Cleaning institute, 2010)
Which “matrix effects” are addressed (powder, dispersion/solution, solid matrix, etc.):
<…….>
Which metric (mass, number, surface area…) is applied (relevant if quantitative exposure estimates are derived)
Mass is applied as metric
Is the effect of implemented risk management measures taken into account? Which/how?
No
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Questionnaire 3: Hazards Module
Is this module estimating hazards or is the hazard/hazard profile typed into the module to be used in a subsequent risk assessment:
Hazards are evaluated on the basis of NOAELs, which are entered into the risk
characterization algorithm.
What are the input parameters for the hazard module? (including whether they are taken from a possible general input module). This would include characterisation/physchem parameter used for identifying hazards, classification, quantitative dose descriptors (NOAELs, BMDs, OELs…):
Hazards are evaluated on the basis of NOAELs. The selection of the appropriate NOAEL (or LOAEL) should be based on following considerations:
The most sensitive repeated-exposure toxicity endpoints (i.e., lowest NOAEL of all
the repeated-dose endpoints evaluated when a range of values is available)
Routes of exposure relevant to the product exposure scenarios (i.e., dermal, oral,
or inhalation)
The quality of available experimental study data
Is the model/tool generally advised not to be used for certain substances/substance groups; e.g. is it advised not to use the model/tool for CMR substances?:
In the consulted background literature, it is not specified how to address non-threshold
substances (without a NOAEL).
Are hazard-based grouping principles applied, e.g. banding according to classification or selected hazard end-point; high hazard potential for high aspect ratio materials; regular hazard potential for water-soluble NMs; nano at least as toxic as bulk/macro, etc.:
No
Does the tool/model suggest use of alternative hazard data, e.g. use of scaling (e.g. from bulk or other nano-sizes or based on physico-chemical properties), QSAR/QSAR-like systems, in vitro data, etc.:
No
Are (specific) hazards linked to the relevant exposure route (e.g. lung inflammation to lung exposure?):
Implicitly yes as the NOAEL has to be relevant for the exposure route for which the MoE is calculated.
Which metric (mass, number, surface area…) is applied (relevant if a quantitative dose descriptor e.g. NOAEL/DNEL is applied)
Mass-based metrics are applied: mg/kg bw/day (or mg/m
3) is applied as metric for the
NOAEL
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Questionnaire 4: Output / risk characterization / risk
management module
How are the results communicated? (e.g. qualitatively, control banding, risk management guidance, semi-quantitative, as risk characterization ratios, probabilistic or fully quantitative). Describe if differences among various exposure routes and hazard categories.
The output of the approach is a number of screening-level MOEs for each product category,
for each possible route of exposure. A hypothetical output from a screening risk characterization is shown in
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Table 26 Hypothetical outputs from a screening risk characterization (Adopted from American Cleaning Institute, 2010)
Are risks evaluated in relation to specific exposure routes? Which/how?
Yes, see
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Table 26 above.
Is there a facility to address combined exposures?
It is possible to address combined exposures, since the exposure estimates (PExIC) may be aggregated either within each product category or across product category.
Are there any risk communication facilities (e.g. High-Medium-Low-Unknown/Uncertain, grading, grouping, colour codes…..):
Not directly, but the MoE in itself indicate if exposure is close to or well below the NOAEL. If the calculated MOE ≥ 1000, an initial default decision of "not of concern and no further
refinement" is considered adequate (American Cleaning Institute, 2010)
Is the outcome related to any risk management recommendations? Which/how?
No
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Are uncertainties presented/addressed in the output? How?
No, not explicitly addressed.
Other information/issues
List/describe any other identified information deemed relevant for this project:
The framework is not an actual tool, rather a guidance for exposure/risk assessment.
However, the elements of the approach are useful for the project.
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Appendix 6 - Review of 6.
methodologies for assessment of
chemical exposure from consumer
products
RIVM (2009) and key parameters for evaluating consumer 6.1
exposure to nanomaterials Scope The scope of the RIVM (2009) report was to get more insight in the possible exposure of consumers to nanomaterials in consumer products. A panel of nano- and exposure experts was consulted in order to identify and estimate the most relevant exposure characteristics within the different product categories. The aim was to identify the exposure potential for the different product categories and to identify product categories with a high priority for future exposure studies. Input The sources of information for the work were data from market reports and inventories describing nanomaterial use and consumer product categories in which nanomaterials may occur. Outcome An expert panel then identified the most important exposure characteristics for a consumer product in order to evaluate the potential for nanomaterial exposure from use of the product, see table 4-1.
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TABLE 6-1. MAIN CHARACTERISTICS FOR HUMAN EXPOSURE TO NANOMATERIALS FROM CONSUMER PRODUCTS (RIVM 2009)
When using these characteristics to assess the potential for exposure from various product
categories, the experts found that following most important for assessing and characterising the
exposure:
Nanomaterial free or fixed inside the matrix of the product
Application expected to lead to direct or indirect exposure via release of particles out of the
product
Exposure route: dermal, oral, inhalation (or a combination of these)
REACH guidances on exposure assessment from chemical 6.2
products and articles
The REACH guidance on Information Requirements and Chemical Safety Assessment (ECHA,
2012) contains several chapters addressing various types of exposure assessment, including some
specific recommendations regarding nanomaterials. Relevant part of this guidance will be
addressed in the following. The guidance is intended for assisting REACH registrants in eventually
documenting in their safety assessments that risks are controlled. The guidance also forms the basis
for exposure estimation/assessment in other REACH processes addressing risks.
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REACH guidance Chapter R.15: Consumer exposure estimation 6.2.1
Scope
The guidance provides a procedure/guidance for the estimation of consumer exposure to
substances on their own, in mixtures or in articles at a Tier 1 level. The estimation of consumer
exposure deals with consumer products and articles that can be purchased from retail outlets by
members of the general public.
Input data Exposure of consumers to chemical substances should generally be characterized by:
1. The different routes of exposure, separately or in combination 2. The identification of the different phases of activity in handling the consumer product or
article (including post-application) 3. The duration and frequency of exposure.
Inhalation exposure
The guidance recommends that inhalation exposure is expressed in terms of external exposure, as a
concentration, usually as mg/m3. For measurement of exposure to nanomaterials, information in
relation to number concentration (especially for fibres) and surface area concentration are also
considered to be of benefit (i.e. n/m³ or cm2/m3).
The method presented in the guidance is applicable for calculating exposure to all substances
released into a standard room as a gas, vapour or airborne particulate.
The method has not yet been validated for use with nanomaterials. If the output of the model is
used to estimate exposure for nanomaterials, this should preferably be supported by measured data.
The two essential input parameters are:
Amount of product used
Fraction of substance in the product (concentration).
Other input parameters, used in the algorithm for estimating the air concentration and resulting
inhalatory dose of the product are shown in .
TABLE 6-2. SPECIFIC INPUT PARAMETERS FOR CONSUMER INHALAITON EXPOSURE ESTIMATION
ALGORITMS
Input parameter Description Units
Qprod Amount of product used [g]
Fcprod Weight fraction of substance in product [g/gprod]
Vroom Room size (default 20 m3) [m³]
Fresp Respirable fraction of inhaled substance (default 1)
[-]
IHair Ventilation rate of person [m³/d]
Tcontact Duration of contact per event (default 1 day)
[d]
BW Body weight [kg]
N Mean number of events per day [/d]
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Output parameter Description
Cinh Concentration of substance in air of room
[mg/m3]
Dinh Inhalatory dose (intake) of substance per day and body weight
[mg/kg bw d]
And the algorithms are:
The concentration in air, Cinh in mg/m3 after using an amount Qprod of the product becomes:
Cinh = Qprod ∗ fcprod
Vroom
The daily dose, Dinh in mg/kg bw per day becomes:
Dinh = Fresp ∗ Cinh ∗ IHair ∗ Tcontact
BW∗ N
When the inhalable and/or respirable fraction is known, it should be taken into account. If the
product contains releasable nanomaterials then the assumption should be made that it is entirely
within the respirable fraction if not otherwise known.
Dermal exposure
The guidance recommends that dermal exposure is expressed as mg/cm2 (local effects) or as mg/kg
BW/day (systemic effect). No specific recommendation for dermal exposure to nanomaterials is
provided.
Calculation of dermal exposure is given for two different scenarios:
A. The substance is contained in a mixture
B. Substance migrating from an article.
Dermal scenario A: Instant application of a substance contained in a mixture
The essential parameters used for this model are:
Weight fraction compound: the fraction of the compound in the total product
Amount of product: the amount of total product applied to the skin
The surface area of the exposed skin.
Other input parameters, used in the algorithm for estimating dermal load and external dose in
scenario A are shown in Table 6.
TABLE 6-3. SPECIFIC INPUT PARAMETERS FOR CONSUMER DERMAL EXPOSURE ESTIMATION
ALGORITMS (INSTANT APPLICATION)
Input parameter Description Units
Cprod Concentration of substance in product before dilution g/cm3
D Dilution factor (If not diluted, D =1) [-]
RHOprod Density of product before dilution [g/cm3]
Qprod Amount of product used [g]
Fcprod Weight fraction of substance in product before dilution
[-]
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Vprod Volume of product used before dilution [cm3]
Vappl Volume of diluted product actually contacting the skin [cm3]
THder Thickness of product layer on skin (default 0.01 cm) [cm]
Askin Surface area of the exposed skin [cm2]
BW Body weight [kg]
n Mean number of events per day [/d]
Output Description
Cder Dermal concentration of substance on skin [mg/cm3]
Lder Amount of substance on skin area per event [mg/cm2]
Dder Amount of substance (external dose) that can potentially be taken up (account later for actual dermal absorption) per body weight
[mg/kg bw d]
Further applications Description (see the text below)
V*appl Volume of diluted product actually remaining on the skin
[cm3]
Fcder Fraction of the applied product remaining on the skin [-]
The dermal load, Lder in mg/cm2 is calculated as:
and the external dose Dder in mg/kg bw d as
In cases where the substance is contained in a liquid into which certain parts of the body are
dipped, the equation is not based on the mass of the substance applied to a certain area of skin, but
rather on the concentration of the substance in the mixture that is in contact with the skin. First, the
concentration Cder of a substance in contact with skin is calculated. Depending on how the
parameters are provided, three analogous calculations are used:
The total dermal load, Lder is then calculated by:
And the dermal dose, Dder (mg/kg bw d) derived as
The above dermal equations also apply to:
a non-volatile substance in a medium used without further dilution. In this case the
dilution factor (D) is set to 1;
a non-volatile substance contained in an undiluted medium removed from the skin by, for
example, wiping or rinsing and drying (e.g., liquid soap). Recalculate the V*appl “real”
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volume of application based on volume of application (Vappl) as V*appl=Vappl x Fcder; where
Fcder is the fraction of the product remaining on the skin;
a non-volatile substance in a volatile medium. The concentration Cder is only valid at the
very beginning of exposure. However, this concentration can still be used to calculate Lder,
because the substance is non-volatile.
Dermal scenario B: A non-volatile substance migrating from an article
The essential parameters used for this model are:
Weight fraction compound: the fraction of the compound in the total product
Amount of product: the total amount of product applied to the skin
The surface area of the exposed skin
The migration rate of the substance
The contact time of the substance
Skin contact factor (set at 1 for default), a factor that can be used to account for the fact
that the product is only partially in contact with the skin.
Other input parameters, used in the algorithm for estimating dermal load and dermal dose in
scenario B are shown in .
TABLE 6-4. SPECIFIC INPUT PARAMETERS FOR CONSUMER DERMAL EXPOSURE ESTIMATION
ALGORITMS (MIGRATION FROM AN ARTICLE)
Input parameter Description Unit
Qprod Amount of product used [g]
Fcprod Weight fraction of substance in product [g/gprod]
Fcmigr Rate (fraction) of substance migrating to skin per unit time
[g/(gprod x t)]
Fcontact Fraction of contact area for skin, to account for the fact that the product is only partially in contact with the skin (default = 1)
[cm2/cm2]
Tcontact Contact duration between article and skin [d]
SDprod Surface density (mass per unit area) [mg/cm2]
Askin Area of contact between product and skin [cm2]
Cder Dermal concentration of substance on skin [mg/cm3]
BW Body weight [kg]
n Mean number of events per day [/d]
Output Description
Lder Dermal load on the skin that is expected due to migration
[mg/cm2]
Dder Dermal dose per day and body weight [mg/kg bw d]
The dermal load Lder in mg/cm-2 is calculated as:
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In case a surface density, SDprod for an article is available (in mass per unit area), the equation
reverts to:
The external dermal dose, Dder in mg/(kg bw d) is then calculated as
Oral exposure
Oral exposure is expressed as external dose (mg/kg bw).
Calculation of oral exposure is given for two different scenarios:
A. Substance in a product unintentionally swallowed during normal use
B. Substance migrating from an article; applicable for example when a substance migrates
from a pen, cutlery or textile
Oral scenario A: Unintentional swallowing of a substance in a product during normal use
The essential parameters used for this model are:
Weight fraction compound: the fraction of the compound in the product
Concentration in the product as swallowed (if diluted)
Amount ingested: the total amount of product swallowed
Other input parameters used in the algorithm for estimation of concentration in the product as
swallowed and the oral dose are shown in Table 6-5:
TABLE 6-5. SPECIFIC INPUT PARAMETERS FOR CONSUMER ORAL EXPOSURE ESTIMATION ALGORITMS
(UNINTENTIONAL SWALLOWING – NORMAL USE)
Input parameter Description Units
Cprod Concentration of substance in product before dilution
[g/cm3]
D Dilution factor [-]
RHOprod Density of product before dilution [g/cm3]
Qprod Amount of product before dilution [g]
Fcprod Weight fraction of substance in product before dilution
[g/gprod1]
Vprod Volume of product before dilution [cm3]
Vappl Volume of diluted product per event in contact with mouth
[cm3]
Foral Fraction of Vappl that is ingested (default = 1) [-]
BW Body weight [kg]
n Mean number of events per day [/d]
Output
Coral Concentration in ingested product [mg/m3]
Doral Intake per day and body weight [mg/kg bw d)]
The concentration mg/m3 in the product as swallowed is calculated from:
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and the oral dose in mg/kg bw per day is then given by:
If an undiluted product is swallowed, D = 1.
These equations may also be used to estimate exposures arising from ingestion of the non-
respirable fraction of inhaled airborne particulates.
Oral scenario B: Substance migrating from an article
For articles that may be taken into the mouth or sucked on (mouthing) as part of reasonable
foreseeable misuse, substances can migrate into saliva or (through it) to skin. This could be limited
to a few classes of articles.
For a screening assumption on migration, the Tier 1 oral exposure model A can be used. In a higher
tier model, the release rate of the substance from a product can be measured and the exposure time
assessed, to obtain a more reliable estimate of substance released from the article. The amount of
ingested substance can then be calculated. (From REACH guidance chapter R17)
Comment
The presented Tier 1 equations for consumer exposure estimations are implemented in the ECETOC
TRA model and the ConsExpo model, which are also addressed elsewhere in this chapter. We will
further down address how this guidance has been evaluated in relation to assessing exposure from
nanomaterials.
REACH guidance Chapter R.14: Occupational exposure estimation 6.2.2
Scope
Provides a procedure/guidance for occupational exposure estimation. It describes what information
is needed for the assessment at the different levels (Tiers) and how to deal with it.
Input data
The guidance document does not provide any additional information regarding input
parameters/determinants for exposure estimation than those covered by the different occupational
exposure models already reviewed (e.g. Stoffenmanager and DREAM addressed elsewhere in this
chapter).
REACH guidance Appendix R14-4: Recommendations for nanomaterials 6.2.3
Scope
To provide advice to registrants preparing their registration dossiers for nanomaterials. The content
of the appendix implements the advice provided by the REACH Implementation Project on
Nanomaterials 3 (RIP-oN 3) on exposure assessment and risk characterization. Main focus is on
exposure measurements and not on input parameters for modeling.
Input data
The appendix does not recommend specific input parameters/determinant of exposure to be taken
into account as there is not yet consensus on what such parameters should be. On the other hand,
current guidance e.g. in relation to methods and tools should only be used if scientifically justified
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to be relevant. Thus implicitly the registrant is advised to carefully consider a given exposure
scenarios as a specific case. Some advices are given regarding metric to be used for description of
nanomaterial inhalation exposure:
"Inhalation exposure can be described by the concentration of the substance in air and the
duration and frequency of exposure. It is generally expressed in ppm (parts per million) or
amount per unit air volume inhaled, averaged over the duration of the relevant task or shift (e.g.
mg/m3 8hr Time Weighted Average (TWA)). For measurement of exposure to nanomaterials,
information in relation to number concentration (especially for fibres) (i.e. n/m3) and surface
area concentration are also considered to be of benefit (i.e cm2/m3)."
REACH Guidance on information requirements and chemical safety 6.2.4
assessment, Chapter D
Scope
The module regarding exposure scenario building explains how to conduct exposure assessment
covering the development of exposure scenarios and exposure estimation. The main focus of this
module is on how exposure scenarios (ES) can be developed.
An overview of the core information to be taken into account when developing exposure scenarios is
given.
Input data
Examples of determinant of exposure are given in Table 6-6.
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TABLE 6-6. EXAMPLES OF DETERMINANTS OF EXPOSURE (ADOPTED FROM REACH GUIDANCE ON
INFORMATION REQUIREMENTS AND CHEMICAL SAFETY ASSESSMENT. CHAPTER D: EXPOSURE
SCENARIO BUILDING)
Outcome
The determinants of exposure are used in the development of the final exposure scenario for a given
substance and in turn for estimating the exposure.
Comments
According to the guidance document: "Generalisation of exposure scenarios for nanomaterials, as with other substances, will always need to be justified. For nanomaterials this would not just be based on substance composition but would also need to take account of other parameters such as particle size distribution".
REACH Guidance on requirements for substances in articles 6.2.5
Scope
This guidance addresses implementation of REACH article 7 (notification and registration of substances in articles) and 33 (duty to communicate information on substances in articles) and does thus not address exposure estimation (ECHA 2011).
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SCCS guidance on nanomaterials in cosmetics 6.3
Scope
The aim of the "Guidance on the Safety Assessment of Nanomaterials in Cosmetics" from the
Scientific Committee on Consumer Safety (SCCS 2012a) was to develop a guidance on the essential
elements that would be required in safety dossiers for manufactured nanomaterials in order to
document safe use of the nanomaterials in cosmetics.
Outcome
In the exposure section of the guidance document it is stated that there is currently no indication
that the use of consumer/cosmetic products that contain nanomaterials is likely to be any different
from the use of other products that contain conventional ingredients. As a consequence , this means
that default values in relation to exposure e.g. used amounts, will be the same.
The following factors are mentioned to be important exposure factors in connection with use of a
cosmetic product:
- class of cosmetic product(s) in which the ingredient may be used,
- method of application: rubbed-on, sprayed, applied and washed off, etc.,
- concentration of the ingredient in the finished cosmetic product,
- quantity of the product used at each application,
- frequency of use,
- total area of skin contact,
- duration of exposure
- foreseeable misuse which may increase exposure,
- consumer target groups (e.g., children, people with sensitive, damaged or
compromised skin) where specifically required
- quantity likely to enter the body (fraction absorbed),
- application on skin areas exposed to sunlight,
- use area (indoors/outdoors) and ventilation
- all routes of exposure (dermal, oral and inhalation exposure) should be considered in
view of the intended use of the product
In addition to this, further guidance is given on how to calculate the internal exposure by
accounting for dermal absorptions factors expressed either as percent of the applied dose of the
substances or as absorption per cm2 skin surface area. For oral exposure it may be especially
relevant to apply a retention factor as e.g. for toothpaste where only a fraction of the used volume is
considered to be swallowed. For inhalational exposure from e.g. spray products the guidance refers
to the ConsExpo model.
However, it is stated that the spray module in the model calculates the exposure based on the
inhalable fraction of the generated aerosols. For conventional substances it is assumed that these
are homogeneously distributed over the generated aerosols, on a mass basis. For that reason, in the
experiments carried out for the calibration of the model, aerosols with a size <1 μm are not be taken
into account. It should be noted that the mass of aerosol droplets <1 μm is negligible compared to
the aerosols present in the inhalable fraction of 1-20 μm. Key parameters in the calculation of the
inhalation exposure are:
- room volume, - spray duration, - ventilation rate, - exposure duration - mass generation rate,
and product specific parameters, such as:
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- airborne fraction, - aerosol size distribution - weight fraction of the ingredient.
Further it is noted that the applicability of ConsExpo spray module to nanoparticles has not yet
been determined. Therefore, for spray application of products with nanomaterial, a careful
characterisation is needed of the droplet size and the nanomaterial distribution in the droplets.
Determination of the generated droplet size distribution is not sufficient, but needs to be
complemented by the size distribution of the dried residual aerosol particles. Exposure patterns
during consumer use (e.g. in terms of variable particle size distribution) might be different from
exposure patterns in experimental settings (e.g. stable particle size distribution). However, factors
such as particle size and size distribution/ agglomeration state of nanomaterials are known to be
important in determining the hazard, however more specific guidance on how to account for this is
not given.
In the description above, the parameters important for quantitative exposure assessment have been
highlighted in bold.
In the SCCS’s Notes of guidance for the testing of cosmetic substances and their safety evaluation 8th revision 2012 (SCCS 2012b), specific values are given for key exposure parameters for the various types of cosmetic product covering:
- Identification of part of the body exposed - Skin surface area exposed (cm2) - Frequency of application (times per day) - Estimated daily amount applied (g/day) - Relative amount applied (mg/kg bw day) - Retention factor (unitless) - Calculated daily exposure (estimated daily amount applied x the retention
factor) - Calculated relative daily exposure (relative amount applied x the retention
factor)
EFSA guidance on nanomaterials in food 6.4
Scope
The aim of the EFSA ”Guidance on the risk assessment of the application of nanoscience and
nanotehcnologies in the food and feed chain” EFSA (2011a), was to develop a practical approach for
assessing potential risks arising from applications of nanoscience and nanotechnologies in food and
feed chain.
Outcome
In the rather short and overall section regarding exposure assessment the guidance states, that…
“basically, the principles of exposure assessment of ENM* (via food and feed) will be the same as
in exposure assessment of non-nanoform materials.
Issues like food/feed sampling and variability within composite samples and variation in
concentrations between samples are not different from the exposure assessment of
micro/macroscale or dissolved chemicals.
On the basis of the available consumption data, the anticipated average and high intakes in
various population groups of the ENM food/feed must be estimated. Probabilistic methods may be
useful to determine ranges of plausible values rather than point estimates. If possible, particular
sections of the population with an expected high exposure should be identified and this should be
considered in the risk assessment. There is limited information on the consumption (amounts and
frequency) of food supplements. Data on import and production quantities could provide
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additional information for the exposure assessment. Any assumptions made in the exposure
assessment should be described.
A central aspect of exposure assessment is the determination of the amount and characterisation
of the ENM present in the food or feed as consumed. In most cases, the starting point for
determining the amount of ENM currently has to rely on information on the material added or
that is in contact with food/feed. The initial characteristics of the added ENM can be assessed and
used as an assumption in the exposure assessment, however, currently it is not possible to
routinely determine ENM in situ in the food or feed matrix that increases the uncertainty in the
exposure assessment. The structure of the ENM in food/feed may be changed in the food/feed
production chain during processing or storage because of their interactions with proteins, lipids
and other substances present in the food/feed matrices. Hence, ENM should be analysed at an
early stage of the food chain, and effects of processing and storage and the stability of the ENM
should be considered in the exposure assessment. Also, effects of digestion or other causes of
degradation of the matrix on ENM characteristics need to be considered.
For ENM added to feed, the potential carry over to food should be considered for human exposure,
which could be determined by measurement of the ENM in relevant animal tissue or products.
In the absence of exposure data, and where it is not possible to determine the nanoform in the
food/feed matrix, it should be assumed that all added ENM is present, ingested and absorbed in
the nanoform, although the structure/properties of the ENM remain undetermined and therefore
difficult to relate to the structure/properties of the ENM used in the toxicity studies”
*ENM: Engineered nanomaterial
Environmental Defense – DuPont approach 6.5
Scope The Environmental Defense – DuPont Nano Risk Framework (Environmental Defense – DuPont, 2007) is developed as a process to identify and address potential environmental, health and safety risks of engineered nanomaterials across the whole lifecycle of a product. The Framework is targeted organizations (e.g. companies or public and private research institutes) that are working with nanomaterials and developing associated products. The Framework should be applicable for a broad audience, and expert knowledge does not seem to be required. Input data The framework consists of six steps:
1. Describe materials and application 2. Profile lifecycle(s) 3. Evaluate Risks 4. Assess Risk Management 5. Decide, Document and Act 6. Review and adapt
Exposure assessment lies within “Profile Lifecycle(s)”, where the potential for human and environmental exposures across the full product life cycle is identified and characterised. According to the Framework, following types of questions should be considered when assessing potential for human exposure:
What are the potential routes of human exposure (e.g. inhalation, ingestion, and eye or dermal penetration)?
Are the nanomaterials present in a consumer product?
Can the nanomaterials have direct or indirect contact with food?
Can the nanomaterials be present in water used for drinking or recreational purposes?
Can the nanomaterials be present in the ambient air or surfaces of the workplace, home,
and other locations where people may be exposed?
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What sensitive populations (e.g., children, elderly persons) may be exposed?
The base set of exposure data required when investigating human exposure in the use phase is as follows:
- Commercial or consumer product types (e.g., paints and coatings, soaps, and detergents) in which the substance is used or present
- Specific commercial or consumer products in which the substance is used or present
- The percent of production volume associated with each commercial or consumer use
- Trade names of the products
- Settings for use (e.g., in manufacturing sites, in homes, outdoors)
- Use patterns (e.g., description of products or applications and how they are used)
- Numbers of commercial users (including workers) working with the substance and consumers using the product
- Maximum concentration of the substance in each commercial or consumer product
- Indication of whether the products are intended for use by children or other sensitive populations
- Indication of whether the substance is intended for release during use or can reasonably be anticipated to be released. If so, what are the magnitude, frequency, duration, and mode (e.g., to air) of the expected release?
- Indication of whether there is potential for exposure to the substance in the product through inhalation, ingestion, skin absorption, or ocular uptake
- Required or recommended controls for use (e.g., training, engineering controls, personal protective equipment)
- Recovery/recall techniques (e.g., in case of misuse or new hazard data)
Outcome
The framework does not provide algorithms for calculation of exposure.
ECETOC TRA 6.6
Scope
The ECETOC TRA tool for consumer exposure is a conservative tool for estimating exposure and
risk for consumers. It is a tier 0 / tier 1 tool for exposure assessment as the tool operates with a high
level of default values, but several possibilities for using specific values exists. The tool is not an
expert tool, but some experience regarding exposure estimation is needed for using the tool and get
meaningful output.
Input data
Mandatory parameters:
Vapour pressure
References value (e.g. DNELs) for the various exposure routes
Select product subcategory and type of use
Optional parameters (otherwise default values used):
Concentration in the products
Amount of product used per event
Skin contact area (adult/ children)
Oral Contact area (of product adult/children)
Dermal or oral transfer factor
Overall, most of the use scenarios/product categories identified in chapter 2-4 are covered by the
product/article categories in ECETOC TRA tool. The included products and articles covers various
kinds of matrices (e.g. liquids; aerosols; pastes; solids; textiles, paper, plastics). However, food/
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beverages, cosmetics, medical devices and construction materials are not included in the ECETOC
TRA model.
Both dermal, inhalational and oral exposure routes are considered, but from the start it is
anticipated for each of the product subcategories whether exposure via a specific exposure route is
relevant and also whether children may be exposed for the product.
Dermal exposure
For the dermal exposure, the following algorithm is used for calculating exposure:
TABLE 6-7: ALGORITHM FOR DERMAL CONSUMER EXPOSURE, ECETOC TRA.
Product Ingredi
ent (g/g)
Contact Area (cm2)
Transfer Factor
(unitless)
FreQuency of use
(events / day)
Thickness
of Layer (cm)
Density (g/cm3)
Conversion
Factor (mg/g)
Body Weig
ht (kg)
Exposure (mg/kg/
day)
(PI x CA x TF x FQ x TL x D x 1000) /
BW
Where the transfer factor is the fraction of the chemical content in the product matrix that is available for exposure.
Inhalation
For inhalational exposure, the following algorithm is used for calculating exposure:
TABLE 6-8: ALGORITHM FOR INHALATIONAL CONSUMER EXPOSURE, ECETOC TRA
Product
Ingredient
(g/g)
Amount Product Used per
Application (g/event)
FreQuency of use
(events / day)
Fraction
Released to
Air3
(g/g)
Dilution Fraction (unitless)
Exposure Time (hr)
(PI x A x FQ x F x DF x ET x
Inhalation Rate
(m3/hr)
Conversion Factor
Room Volume
(m3)
Body Weight
(kg)
Inhalation
Exposure
Estimate
(mg/kg/day)
Inhalation
Exposure
Estimate
(mg/m3)
Basis for inhalation exposure
IR x 1000) / (V x BW) SVC=saturate
d vapour concentration
Oral exposure
For oral exposure, the following algorithm is used for calculating exposure:
286
TABLE 6-9 : ALGORITHM FOR ORAL CONSUMER EXPOSURE, ECETOC TRA
Product Ingredient (g/g)
Volume of product
swallowed (cm3)
Transfer Factor
(unitless)
FreQuency of use
(events / day)
Density (g/cm3)
Conversion Factor (mg/g)
Body Weight
(kg)
Exposure (mg/kg/ day)
(PI x V x TF x FQ x D x 1000) / BW
Output
When using the default values for the parameters the tool can be used for getting a rough and
conservative quantitative output in terms of exposure and risk for preselected products and articles.
However, more refined estimates may be obtained if case specific input values are available and can
be used. In the output module of ECETOC TRA, the estimated dermal, oral and inhalational
exposure is compared to a reference value for hazard (in REACH termed as a DNEL value) and a
risk characterisation ratio, RCR is calculated.
Comments
Overall, the ECETOC TRA is a tool at a screening level for consumer exposure. There is a great
overlap of the exposure parameters identified in chapter 2 from the RIVM (20009) report and in
the ECETOC TRA tool, e.g. concentration.; dose per use; frequency, matrix effects;
differentiation in the various exposure route. However differences also exist:
- with respect to frequency of use this refers to number of uses per day and thus ECETOC
TRA does not take into account frequency in a larger time scale e.g. weekly/ monthly or
yearly.
- for dermal exposure calculation the ECETOC TRA takes into account further parameters
such as - how large a skin area that may be exposed from the various products categories;
the thickness of the product layer on the skin, and how large a fraction of the substance
that is actually available for exposure from the matrix (a default value of 100% is used).
- for inhalation exposure the amount of product liberated into the air is considered, the
dilution factor for this amount (room volume and ventilation rate) and the respiratory rate
of the consumer are also taken into account. Thus for dermal an inhalation exposure it is
possible to consider more details in the exposure assessment.
The ECETOC TRA is a tool using mass based dose metrics and it can be used for estimating the
mass based exposure to an ingredient e.g. a nanomaterial from a product. It is not possible – and
the tool is not designed for including nano-relevant metrics such as particle size distributions,
agglomeration, surface area or particle number, and use these parameters in the exposure
estimation.
ConsExpo 6.7
Scope
ConsExpo is a consumer exposure estimation tool, which can both be used as a low tier tool and a
higher tier tool at tier 2 level. In order to run the model, some training is needed even though it is
quite user friendly. If the tool is on the higher tier level, involving more detailed calculations, some
expert knowledge is required in order to specify the input data properly.
Input data
ConsExpo has defined a number of use scenarios involving selecting the product category (e.g.
paint, cleaning agents, cosmetics). There is no direct link between the use scenarios defined in
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ConsExpo and the PC/AC-categories used for characterisation of uses in connection with REACH
registration.
Overall, main identified use characteristics/ parameters are handled in the algorithms used in ConsExpo:
TABLE 6-10. MAIN PARAMETERS FOR EXPOSURE ASSESSMENT, CONSEXPO
Exposure
route
Concen-
tration
in
product
Contact
Area
Duration Frequency
of use
Amoun
t
Thickness
of Layer
Density Body
Weight
Operator x x (if
relevant)
X (decrease in
concentration
with time is
considered)
x x x x /
ConsExpo takes into account if the substance is a part of the product, i.e. the concentration of the substance in the product is considered.
The use scenarios include the required parameters for carrying out oral, dermal and inhalation
calculations. The parameters needed for doing higher tier calculations depend on the actual use
scenario, see below:
TABLE 6-11. FURTHER PARAMETERS IN RELATION TO EXPOSURE ROUTE SPECIFIC USE SCENARIOS;
CONSEXPO
Exposure
route
Model
Parameters
All All General: use frequency
body weight (Wbody) product amount (A) or concentration (wf)
weight fraction compound (wf)
Molecular weight
Octanol-water partition coefficient
Vapour pressure
Inhalation Vapour
(Instantaneous release mode,
Constant rate release mode,
Evaporation release mode)
exposure duration room volume (V or Vroom)
ventilation rate (q)
(application duration) (tr)
(release area)
(mass transfer rate) (K)
(molecular weight matrix)
Spray spray duration
room height
(cloud volume)
mass release rate (Rspray)
airborne fraction (fairborne) density solvent + non-volatile
particle distribution
inhalation cut-off diameter
droplets size distribution
Dermal Instant application exposed area
Constant rate contact rate (R)
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Rubbing off transfer coefficient (Rtrans)
dislodgeable amount (Fdislodge)
contact time (t) rubbed surface (Sarea)
Migration leachable fraction (Fleach)
skin contact factor (Scontact)
Diffusion compound concentration
diffusion coefficient (D)
layer thickness exposure time
Ingestion Direct oral intake ingested amount (A)
Constant rate ingestion rate (R) exposure time (t)
Migration exposure time (t)
contact area (S)
initial migration rate (Rm)
Migration from packaging
material
thickness package
contact area package amount
ingested amount
storage time (t)
migration rate (Rm)
amount of packaged food (Apack)
amount of consumed food (Acons) amount of compound in food (Afood)
Matrix effects are not directly addressed in ConsExpo. However, the defined use scenarios include a pre-evaluation if the product is a liquid or a solid. A pre-assessment whether specific exposure routes are relevant to include has been included in the pre-defined use scenarios in ConsExpo.
Output
ConsExpo includes all exposure routes. It calculates both the external dose and internal exposure
(systemic). So it has models included for the calculation of the uptake into the body. In addition it
also calculates combined exposure, i.e. accounting for combined oral, dermal and inhalative
exposure.
The results of a ConsExpo exposure calculation can be presented in different ways: as point values,
as a graph over (exposure) time, as a distributed result from a Monte Carlo simulation, and in a
textual report. In addition, sensitivity analysis of the exposure assessments can also be carried out
in ConsExpo.
Exposures and doses are presented both per route and integrated over all routes. Per route various
exposure measures are calculated:
External inhalation exposure is calculated as the air concentration during
exposure. Different measures are: mean air concentration during a single
exposure event; mean air concentration on the day of exposure and year
average air exposure.
Internal inhalation doses calculated are: the acute (amount taken up during
one event per kg bodyweight) and chronic (daily average of the amount taken
up per kg bodyweight) dose.
External dermal exposure is calculated as dermal load (amount of compound
per cm2 of exposed skin) or as external dose (the amount that can potentially
be taken up per kg bodyweight).
Internal dermal doses calculated are: the acute (amount taken up during one
event per kg bodyweight) and chronic (daily average of the amount taken up
per kg bodyweight) dose.
External oral exposure is calculated as external dose (the amount that can
potentially be taken up per kg bodyweight).
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Internal doses are: the acute (amount taken up during one event per kg
bodyweight) and chronic (daily average of the amount taken up per kg
bodyweight) dose.
The integrated doses are the summations of the corresponding doses per route
When one or more parameters have been specified as a distribution, ConsExpo can perform a
distributed (Monte Carlo) calculation. The program will draw a set of random numbers from the
specified distributions for distributed parameters and calculates the endpoint of choice with this
set. For the non-distributed parameters the specified point value is taken. The calculated exposure
measure for the set is stored. This procedure is repeated for a user-specified number of times (the
number of Monte Carlo samples). The result of this procedure is a distributed set of calculated
exposures. Some characteristics of the distribution such as median, standard deviation 90- and 99-
percentile of the calculated distribution are reported.
The ConsExpo report gives an overview of the exposure calculation. It displays all parameter values
and the calculated exposures in the mass metric. The text can be saved to (text-) file or can be
printed directly from ConsExpo.
Comments Even though ConsExpo is not targeted at nanomaterial exposure it can be used for mass based consumer exposure assessment to nanomaterials– with caution. As a tier 1 and tier 2 tool, the tool may be highly relevant for use in his project e.g. to evaluate specific exposure scenarios further and also for evaluation of semi-quantitative exposure assessments in our project. If the use scenarios included in ConsExpo in future should be updated/modified so they better
respond to the characteristics of nanomaterials, inclusion of other dose metrics would be necessary
e.g. particle number exposure or particle surface exposure may be considered in addition with
further consideration on the liberation of free nanoparticles from a product during use.
Furthermore, the uptake models probably would have to be modified, to better account for the
special behaviour of nanomaterials.
It should be mentioned that RIVM is running a project looking on the suitability of ConsExpo to
handle nanomaterials and whether any modifications should be introduced into ConsExpo.
Currently we do not have any estimate of when that project will be published.
NanoSafer 6.8
Scope
NanoSafer is an advanced tier 0 to tier 1 modelling-based control banding tool for assessment and
precautionary management of potential risks associated with occupational inhalation exposure to
nano-objects and their agglomerates and aggregates during specific nanomaterial release and
handling activities. NanoSafer is available at http://nanosafer.i-bar.dk/ and a full description is
given in Jensen et al. (submitted). Use of the web-based NanoSafer does not require training
beyond introduction or study of the written manual.
Inhalation exposure assessment procedure
For estimation of the exposure levels, the NanoSafer uses specific nanomaterial characteristics,
user-specific input parameters on the contextual information and specifics on the work process.
Ranking (banding) of the exposure level is done for estimated acute (15 min) and 8-hour work-day
exposure levels in the near-field (activity site) and far-field (outside of the activity site). The ranking
is made for each of the four pre-defined assessment situations based on the estimated exposure
levels, the occupational exposure limit of the nearest chemical bulk analogue, and the specific
surface area of the nanomaterial and the bulk reference value. The potential exposure levels used
for setting the near-field and far-field exposure bands are estimated using a two-box instant mixing
aerosol model. Uncertainties are not quantified. However, the approach in control banding is to try
290
and take uncertainty into consideration by using conservative assumptions and application of a
precautionary approach.
Input data
The required input data should primarily be available from Safety Data Sheets (SDS), presumably of
the nearest analogue bulk analogue, and the producers Technical Data Sheets (TDS) on the
nanomaterials. Suggested default values in the guidance manual are to be used when data does not
exist, but the user is free to enter other values if other data are thought to be more suitable for the
specific assessment. The input parameters used for the exposure assessment are listed in Tables 6-
12 and 6-13.
TABLE 6-12. OVERVIEW OF THE INPUT PARAMETERS ON THE PHYSICOCO-CHEMICAL NANOMATERIAL
CHARACTERISTICS.
Material name
(optional)
CAS number
(optional)
EINICs Number
(optional)
Nano-specific
word or term
(yes/no)
Coated or surface
modified nanomaterial
(yes/no)
Dimension of the
nanomaterial
(nm)
Specific density
(g/cm3)
Is the nanomaterial
water soluble
(yes/no)
The specific
surface area
(m2/g)
text text text NANO Rcoat a≤b≤c So SSA
TABLE 6-13. OVERVIEW OF THE INPUT PARAMETERS FOR EXPOSURE ASSESSMENT/RANKING.
Constant Release
rate
(kg/min)
Respirable
dustiness
(mg/kg)
Handling
energy
factor
(0 - 1)
Amount Product Used per
work cycle
(kg/cycle)
Amount used per transfer
(kg/transfer)
Duration of work cycle
(min)
Duration of
transfer
(min)
Number of work cycles
(n)
Pause between
work
cycles
(min)
Volume of work room
(m3)
Air-exchange
rate
(h-1)
Occupational
exposure
limit for
analogue bulk
material
(mg/m3)
dM/dt DIresp Hi M m tduration ttransfer n tpause V Q
OEL
Algorithm
The near- and far-field exposure/risk bands (EXPi) are determined for the acute and daily exposure
according to equation 1.2.8.1 and 1.2.8.2
Equation 1.2.8.1:
nano
AcuteAcute
SSAOEL
CEXP
130
2
Equation 1.2.8.2:
nano
hourhour
SSAOEL
CEXP
130
88
thus incorporating the specific surface area and specific density; i.e. specific nano-properties.
291
In both calculations the Acute (Cacute) and 8-hour (C8-hour) exposure concentrations are the
respirable nanomaterial dust mass-concentration calculated following the procedure in equation
1.2.8.3:
Equation 1.2.8.3:
QVVttt
dt
dMorMmHDIfC FFNFpausedurationtransferirespresp ,,,,,),(),(,,
In addition to mass, these calculations can also be made according to particle number or surface
area concentrations, but not from the web-based resource.
Suitability of procedure for exposure assessment for consumer products
NanoSafer was made to assess the potential risks associated with worker inhalation exposure.
However, the control banding tool can also be applied for consumer products, where the exposure is
considered to be dominated by free of readily accessible nano-objects and the aggregates and
agglomerates. This could include release from processes, such as spraying, grinding, and sanding.
NanoSafer uses many of the parameters applied for assessment nanomaterial exposure in the RIVM
(2009) study.
NanoRiskCat 6.9
Scope
NanoRiskCat is a risk categorization tool that can be applied for screening purposes and
communication of knowledge in between producers and authorities as well as consumers if needed.
It is therefore not a risk assessment tool as such and therefore the tier level may precede tier 0.
However, the assessment paradigm for the exposure categorization may contain concepts useful for
future developments. A full description of the categorization tool is published in Hansen et al.
(2014). The procedure has been used for categorization of more than 1235 products claimed to
contain nanomaterials in the Danish nano database hosted by “Forbrugerrådet Tænk”
(http://nanodb.dk).
Exposure assessment procedure
The basic exposure assessment procedure is solely based on the physical state and occurrence of the
nanomaterial in the product (Hansen et al. (2007; 2008). Clear information is requested on the
product, the nanomaterial therein, and the intended use. The possible exposure situations are
identified and evaluated qualitatively. Based on this procedure, the possibility for exposure is
selected from 4 predefined categories: Unknown, low, medium, and high exposure potential for the
professional end-user, consumers, and the environment, respectively. If release or exposure data do
exist these data shall be used for the qualitative categorization. The final output pool all exposure
scenarios into one dot, but a written explanation should be accompanied with the assessment to
explain which scenarios and exposure routes that have been assessed and the outcome of these
assessments.
Input data
The information requirement is either official documentation on the exposure levels that can result
in a verified exposure categorization or a qualitative assessment based on where the nanomaterial
occurs in the product/article:
Bulk solid composite with nanostructured matrix
Surface: nanomaterial on a surface
Nanoparticles (nano-objects, editor)
o Nano-objects dispersed/adhered onto a surface
292
o Nano-objects dispersed in a liquid
o Nano-objects embedded/dispersed in solid matrix
o Nano-objects in powder or aerosol form
Algoritm
There is no algorithm for calculation.
Comments
The approach considers all potential exposure routes, which are agglomerated into one general
statement for the consumer and professional end-user in the short form. Further reading into the
written background information is intended to give further insight. It is important to note that NRC
used the assessed potential for release of the nanomaterial from the product as a surrogate for
exposure. Using the type of product and physical location of the nanomaterial in the product as an
exposure indicator may be a useful parameter to take into account in further development of an
exposure assessment paradigm for nanomaterial-based products.
Stoffenmanager 6.10
Scope
Stoffenmanager is a non-expert occupational tool used for inhalation and dermal exposure
assessments. The tool was initially developed to help SMEs to prioritize and control risks of
handling chemical products. It is a tier 1+ tool used for qualitative risk banding for dermal and
inhalation exposures as well as for quantitative exposure assessment for inhalation exposure.
Input data
General input parameters are provided from the Safety Data Sheet (SDS) for the product:
- Name of the product
- Whether the substance is a solid or a liquid
o For a solid: the dustiness
o For a liquid, the vapour pressure
- Health and safety information (according to R- and S-phrases)
- Composition of the product
o The different substances the product is composed of
o Concentration of the substances within the product
- Hazard categories (i.e. symbols)
- Personal protective equipment (PPE) and ventilation needed
Input parameters for dermal exposure assessment:
- Product
- Dilution (if relevant)
- Characterisation of the type of activity
o Handling objects or surfaces with (possible) presence of the product
o Manuel dispersion of the product without a hand-held tool, but e.g. with hands,
cloth or sponge
o Dispersion of product with hand-held tool, e.g. brush, roller, scoop, broom or
bucket
o Spray dispersion of product
293
o Immersing or dipping objects in product
o Mechanical treatment of solid objects or product
The tool is tailored requiring further input depending on what is selected as primary inputs. If -
'Spray dispersion of product' -is chosen as an example of activity (with a liquid substance), following
input parameters are then required (other input parameters are needed if e.g. a solid is chosen):
- How is the liquid best described? (like water, solvent, oil, grease or solvent
suspension)
- Does spraying create fine mist (Y/N)
- What is the distance to the source?
- Is the workroom small, narrow or enclosed (e.g. toilet) (Y/N)
- What is the working height during an activity?
- How much product is used per quarter of an hour?
- Is the source segregated (Y/N)
- Is local exhaust ventilation used (Y/N)
- Does workers wear working clothes (provided by employer) during the
activity (Y/N)
- What is the total duration of the activity?
- What uncovered parts of the body are exposed? (chose one or more
options)
Input parameters for inhalation exposure assessment:
- Is the product a solid or liquid
o If solid: does the situation concern shaping by removing or cutting of material
(Y/N)?
o If liquid: select product and dilution
- Characterisation of task (depending on whether the product is a liquid or a solid)
- Duration of task
- Frequency of task
- Distance to task
o Is the task being carried out in the breathing zone of an employee (distance head-
product <1m) (Y/N)?
o Is there more than one employee carrying out the same task simultaneously
(Y/N)?
o Is the task followed by a period of evaporation, drying or curing (Y/N)?
- Protection of employee
o Is personal protective equipment applied? (Y/N)
- Volume of working room
- Characterization of type of general ventilation
- Daily cleaning of working room (Y/N)?
- Are inspections and maintenance of machines/ancillary equipment being done at least
monthly to ensure good condition and proper functioning and performance (Y/N)?
294
The estimate of potential inhalation exposure is calculated using the algorithm in Table 6-14, which
gives a semi-quantitative exposure score, which is converted to an exposure band for a qualitative
inhalation exposure assessment.
TABLE 6-14. ALGORITH FOR ESTIMATING POTENTIAL INHALATION EXPOSURE
Parameter
Concentration
(score) due to near-field
exposure
Concentration (score) due to far-
field exposure
Background Concentration (score) due to diffusive
sources
Multiplier for the reductio
n of exposure
due to control
measures as the
worker
Multiplier for the
reduction of
exposure due to use of
personal protectiv
e equipme
nt
Multiplier for
duration of the
handling
Multiplier for
frequency of the
handling
Exposure
score
Algorithm
[(Cnf + Cff + Cds)] x Ƞimm x Ƞppe x th x fh B
Where
Cnf = E x H x Ƞlc_nf x Ƞgv_nf; Cnf = E x H x Ƞlc_ff x Ƞgv_ff; Cds = E x a and E =intrinsic emission
multiplier; a = multiplier for the relative influence of background sources; H =handling (or task)
multiplier; ƞlc = multiplier for the effect of local control measures; ƞgv_nf = multiplier for the effect
of general ventilation in relation to the room size on the exposure due to near-field sources; and
ƞgv_ff = multiplier for the effect of general ventilation in relation to the room size on the exposure
due to far-field sources.
The algorithm for the quantitative exposure assessment is as follows:
�̌�𝑠𝑜𝑙𝑖𝑑 = 𝐸𝑥𝑝 (1.55 + 0.69 ∗ ln 𝐶𝑡)
�̌�𝑙𝑖𝑞𝑢𝑖𝑑 = 𝐸𝑥𝑝 (6.17 + 0.87 ∗ ln 𝐶𝑡)
Where Ct = total personal exposure score = (Cnf + Cff + Cds) * Ƞimm and Y = geometric mean exposure
level.
The tool takes matrix effects into consideration and addresses liquids (including solvent
suspension) and solids (including powders).
Output
For the control banding module: The tool calculates an overall exposure score using the above
mentioned algorithm. This score is converted into an exposure band (1-4).
For inhalation exposures, the tool contains a quantified and validated exposure model for
estimating inhalation exposure to both inhalable dust and vapour (giving exposure concentrations
of tasks in mg/m³). Thus, for inhalation exposures the output can be both quantitative and
qualitative (control banding).
Comments
Stoffenmanager is not targeted towards nanomaterials and its possible applicability for
nanomaterials shall be seen in the light of the specific tool "Stoffenmanager nano” developed.
However, since Stoffenmanager Nano is only applicable for inhalation exposure, the generic
Stoffenmanager may be used with caution for e.g. some of the dermal exposure scenarios identified
in chapter 3 (such as use of cleaning agents, coatings/impregnation or maintenance products where
dermal exposure is expected). Stoffenmanager is, however, an occupational tool and the use
scenarios from chapter 3 cannot directly be addressed as consumer scenarios.
295
There is a great overlap of the exposure parameters identified by RIVM (2009) and in
Stoffenmanager tool (e.g.) concentration; duration and frequency of task, matrix effects;
differentiation in the various exposure route.
The tool takes additional input parameters into account, which may be relevant – especially if it is
an indoor exposure scenario:
For inhalation exposure:
- distance to task
- use of personal protection equipment
- volume of room
- ventilation of room
For dermal exposure:
- Amount of product used per quarter of an hour
- What uncovered parts of the body are exposed
Stoffenmanager Nano 6.11
Scope
The Stoffenmanager Nano is a tier 1 tool to be used in relation to occupational settings. The tool is
developed to be used by non-experts users, especially in SMEs.
The Stoffenmanager Nano applies to substances that consist of non-water soluble nanomaterials
with a primary size between 1 and 100 nm and/or to products with specific surface area of ≥ 60 m2
/g.
Input data
The general input parameters are:
- Source domain:
o Release of primary particle during actual synthesis
o Handling of bulk aggregated/agglomerated nanopowders
o Spraying or dispersion of a ready-to-use nanoproduct
(intermediate or ready-use-product)
o Fracturing and abrasion of MNO-embedded end products
(redirected to the generic Stoffenmanager tool)
- Product name
- Product appearance
- Name of nano component
- Does the product contain fiber/fiber-like particles?
- Inhalation hazard
The input parameters for exposure estimates are:
- Concentration of nano component in the product
- Characterisation of task
- Duration of task
- Frequency of task
- Is the task being carried out in the breathing zone of an employee?
- Daily cleaning of working room
- Monthly inspection/maintenance of machinery/ancillary products
- Volume of the working room
- Ventilation of the working room
The tool is tailored requiring further input depending on what is selected as primary inputs.
296
Only inhalation exposure is considered in Stoffenmanager Nano. The estimate of potential
inhalation exposure is calculated using the algorithm in Table 6-15.
TABLE 6-15. INHALATION EXPOSURE ALGORITHM
Paramet
er
Concentra
tion
(score)
due to
near-field
exposure
Concentrati
on (score)
due to far-
field
exposure
Background
Concentration
(score) due to
diffusive
sources
Multiplier
for the
reduction
of
exposure
due to
control
measures
as the
worker
Multiplier
for the
reduction
of
exposure
due to use
of personal
protective
equipment
Multiplier
for
duration
of the
handling
Multiplier
for
frequency
of the
handling
Exposu
re
score
Algorith
m [(Cnf + Cff + Cds)] x Ƞimm x Ƞppe x th x fh B
Where Cnf = E x H x Ƞlc_nf x Ƞgv_nf; Cnf = E x H x Ƞlc_ff x Ƞgv_ff; Cds = E x a and E = intrinsic emission
multiplier; a = multiplier for the relative influence of background sources; H =handling (or task)
multiplier; ƞlc = multiplier for the effect of local control measures; ƞgv_nf = multiplier for the effect
of general ventilation in relation to the room size on the exposure due to near-field sources; and
ƞgv_ff = multiplier for the effect of general ventilation in relation to the room size on the exposure
due to far-field sources. The multipliers are modifying factors which depend on the different local
control measures reflected by the input parameters listed above.
The tool takes matrix effects into consideration and addresses powders, granules/flakes and
particles dispersed in a liquid.
Output
The tool calculates an overall exposure score using the above mentioned algorithm. This score is
converted into an exposure band (1-4).
Comments
Stoffenmanager nano is directly targeted nanomaterial exposure, however, only for occupational
exposure. Since Stoffenmanager nano is developed for use in an occupational setting, the use
scenarios/product categories identified in chapter 3 will not be addressed as consumer scenarios.
The tool may, however, be used to generically address some of the use scenarios from chapter 3, if
the use resembles some of the source domains required as input parameters in the tool (see above).
The most relevant source domain is 'spraying or dispersion of a ready-to-use nano-product
(intermediate or ready-use-product)', which could be used to assess inhalation exposure within use
scenarios/product categories such as cleaning agents (spray products), coatings/impregnation
(spray products), maintenance products (sprays) and air cleaner sprays.
Stoffenmanager Nano uses many of the same exposure parameters as identified by RIVM (2009),
e.g. product form, matrix effects, concentration, duration of event and frequency of
event
297
ANSES 6.12
Scope
The tool is a tier 0 control banding tool and it is intended to be used in companies (incl. SMEs) and
academic institutions. The tool is an occupational tool and is developed to be used by persons with
a sufficient level of expertise within the field of chemical risk prevention.
Input data
The input parameters for the exposure assessment are:
Physical form – matrix in which nanomaterial is used (Solid matrix, in suspension/liquid,
as powder, as free nanomaterial/aerosol)
In addition for solid matrices:
- Friable solids (release of nanomaterial under low stress)
- Dust generated by external forces (e.g. mechanical, electrical, laser forces)
- Melting?
- Dispersion in liquid
Liquids/suspensions:
- Highly volatile liquids (possibly generating nanomaterial powder – if so dustiness
is required)
- Spraying?
- Generation of aerosol during process?
Powder
- Dustiness
- Spraying?
Only inhalation exposure is considered in the ANSES tool. The tool addresses four categories of
physical forms of nanomaterials: in solid matrices, in liquids, suspensions, as powders and as
aerosols. The algorithms are qualitative and decision-based.
Output
The tool provides qualitative risk control banding. Exposure is given as an overall emission
potential, which is converted to emission potential bands based on the physical state of the material
ranging from solid (exposure band 1) to aerosol (exposure band 4).
Comments
The ANSES methodology is directly targeted nanomaterials, but for use in an occupational setting.
There are fewer required input parameters compared with the other models/approaches assessed,
and these input parameters differ from those identified in chapter 2 and 4 in the way that focus is
mainly on the matrix in which the nanomaterial is used (for exposure assessment) and
physiochemical properties of the material (for hazard assessment). Parameters such as quantity of
the product used, duration and frequency of use are not taken into account. And even though the
tool is targeted nanomaterials, size as such is not considered to be a separate hazard parameter
(Brouwer , 2012).
The tool is an occupational tool, and the scenarios relevant for the product categories identified in
chapter 2 will therefore not be addressed as consumer scenarios. The applicability of the ANSES
tool for assessment of the identified consumer scenarios for nanomaterial exposure is somewhat
unknown, since no actual tool is available and the reviewed background documentation lacks
information regarding this. It is, however, assessed that the tool may, with caution, be used for
product categories such as cosmetics, cleaning agents, coatings and impregnation, maintenance
products, air cleaners, fuel and lubricants where inhalation exposure is expected.
298
Swiss Precautionary matrix 6.13
Scope
The Swiss Precautionary Matrix for Synthetic Nanomaterials is a scoring tool considering exposure
potential, hazard potential and level on information for evaluating whether further precautionary
actions are needed in relation to consumers, workers or the environment for the current/ intended
use of a nanomaterial. The approach may be considered as a tier 0 tool. The tool is only to be used if
the substance has nano relevant properties, e.g. primary particles < 500 µm or e.g. fulfil the EU
definition as a nanomaterial.
Input data
The input data pertain to:
Physico-chemcial characteristics regarding primary particles size, specific surface area, number of
particles in the nano range, agglomeration in order to evaluate whether the substance can be
identified as nano relevant e.g. in relation to the EU definition of a nanomaterial. However, the
nano relevance is extended to a cut-off point of 500 nm for primary particles in the approach.
The following information has to be used as input ranked into one of 3-4 different levels for each
parameter:
- information level of the nanomaterial (0-3-5 points for each of four types of information)
- reactivity of the nanomaterial (1-5-9 points) (surrogate for hazard)
- lifetime (stability) in the body of the nanomaterial (1-5-9 points) (here information concerning
coating is also requested)
- matrix description (various categories from aerosols to solid matrices) (0.0001- 0.01- 0.1-1 points)
- volume of nanomaterial to which the consumer is in contact per event (1-5-9 points)
- frequency (1-5-9 points)
No specific product types are addressed in the approach so in principle it includes all the selected
products/ scenarios identified in chapter 2-4.
Consumer exposure is then evaluated (scored) based on consideration of liberation from the matrix
(four graduations from 0.0001 to 1) and an estimation of the total volume (three selection levels: <
1.2 mg; < 12 mg; >12 mg) of nanomaterial per day that the consumer may be exposed to from the
product/ article. Also frequency (three levels: monthly; weekly; daily) of exposure is included in the
overall exposure score.
An additional scoring is added if the information level is low and data for e.g. lack of ID of
nanomaterial, lack on data on physicochemical parameters or impurities.
Output
For the overall precautionary evaluation, the exposure scores are multiplied with the hazard scores
and to this figure, scores for the lack of information is added. If the overall score is above 20, further
precautionary measures are recommended whereas a score of 20 or below does not call for further
action.
Comments
A high degree of precaution is built into the tool, as input with “unknown” for a specific parameter
results in a default scoring at the highest level.
Although developed for nanomaterials the approach in its exposure scoring procedure take only
account of mass based dose metrics.
For the purpose of this project, some aspects may be considered for further use in the exposure
estimation e.g. how to evaluate (or score) matrix effects or how to treat lack of information. The tool
can be used for a rough relative semi-quantitative exposure evaluation of nanomaterials, if the
299
hazard scoring is not considered by using a fixed identical scoring for the reactivity (hazard)
scoring.
Dream 6.14
Scope
DREAM is a tier 0 tool to be used by occupational health professionals when evaluating dermal
exposure in a workplace setting. It is an expert tool/method, since the input is given by an
occupational health professional based on observations of the worker(s).
Input data
The DREAM method consists of two parts, an inventory and an evaluation part. The inventory part
comprises a hierarchically structured (multiple choice) questionnaire with six modules:
7. Company: - General information about the company and observer
8. Department - Chemical or biological agents that occur in the work environment - Cleaning activities at the department
9. Agent Physical-chemical characteristics of the substance, e.g.
- Concentration of active ingredient in the substance - Physical state - Boiling temperature - Viscosity - Formulation (powder, granules) - Dustiness - Stickiness
10. Job - Hygienic behaviour - Number of people with the job title
11. Task - Percentage of time that the task is performed - Number of people performing the task
12. Exposure to a substance assessed for a certain task - Probability and intensity of dermal exposure routes
(emission, transfer and deposition) (per body part) - Use of clothing (per body part) (covered vs. uncovered body
parts, clothing material, repeated use of clothing) - Contamination of work environment
Each of the answers to the questionnaire corresponds to a pre-assigned value that is subsequently
put into the evaluation algorithm.
The exposure module is a part of the general input module ("inventory part"). The input parameters
that contribute to the exposure estimate are:
9. Emission to clothing and uncovered skin; and immersion of skin into agent (unlikely, occasionally, repeatedly, almost constantly)
10. Intensity (= amount of agent) of emission 11. Exposure route factors (= either emission, deposition, transfer) 12. Probability of deposition on clothing and uncovered skin 13. Intensity of deposition on clothing and uncovered skin 14. Transfer to clothing and uncovered skin : Contact with surfaces, or tools,
occurs: 15. Intensity of transfer: Contamination level of contact surface 16. Body surface factor
Each of the above mentioned exposure determinants are assigned with a default value (weighted
effect).
Output
300
The results from the exposure assessment are semi-quantitative exposure estimates given in DREAM units, which in turn are grouped into DREAM categories (ranging from low to extremely high exposure). This can subsequently be used in hazard evaluation or control, since the categorisation allows ranking of tasks according to the exposure potential. Comments DREAM is not targeted towards nanomaterials, but might be relevant for dermal exposure to nanomaterials. A shortened version of the tool has been demonstrated applicable for assessment of occupational dermal exposure to nanomaterials in the EU FP7 NANOSH project (Van Duuren-Stuurman et al., 2010). There are some similarities in exposure parameters between DREAM and those identified by RIVM (2009), such as concentration; matrix effects; duration of event; direct/indirect exposure and number of people performing the task. Since an occupational health professional defines which activities the tasks comprise, no default scenarios are used. It is an occupational tool, and no consumer scenarios are therefore directly addressed. However, the method may be used for the dermal exposure scenarios identified in chapter 3 more generally, since the determinants of exposure could be applied to consumer scenarios as well.
Margin of exposure concept 6.15
Scope A concept operationalised e.g. by the American Cleaning Institute, which provides methodologies and specific consumer exposure information that can be used for screening-level risk assessments of exposures to chemicals through the manufacture and use of consumer products. It is therefore not a model/tool as such, but a guidance-type approach or framework. A sufficient level of knowledge within the fields of consumer exposure and risk assessments is needed in order to use the concept. Input data Both inhalation, dermal and oral exposure are considered. Product exposure (PE) is determined from following input parameters (however, not all parameters are relevant for all product types): Inhalation exposure:
- Product use frequency (use/day) - Product amount used per use (g/use) - Airspace volume (m³) - Respirable product concentration in breathing zone (mg/m³) - Exposure duration (hr) - Bioavailable fraction (%) - Respirable fraction (%) - Body weight (kg)
Dermal exposure:
- Product use frequency (use/day) - Product amount used per use (g/use) - Product amount used per day (g/day) - Product use concentration (%) - Product use concentration (g/cm3) - Contact area (cm2) - Product retained (%) - Film thickness (cm) - Transfer to skin (%) - Dermal absorption (%) - Body weight (kg) - Scaling: Duration of exposure
Oral exposure:
- Product use frequency (use/day) - Product amount used per use (g/use) - Product use concentration (g/cm3) - Product retained (ml/cm2) - Dish area containing food (cm2) - Fraction ingested (%) - Body weight (kg)
301
In order to obtain exposure estimates (PE), a data matrix has been constructed for several categories of consumer products. The data matrix provides values for the exposure factors mentioned above and together with equations for estimation of oral, inhalation, and dermal exposures for the key scenarios of each consumer product category. These exposure factors result in a PE value for that route of exposure and type of exposure scenario. Output The exposure output of the approach is based on worst-case estimations. Comments The concept is not targeted to nanomaterials and no specific product characteristics are required as input parameters from the exposure assessment, other than the ingredient concentration. Some overlap between exposure parameters between those identified by RIVM (2009) and MOE concept is found, i.e. Frequency of use (on a daily basis, however), duration of exposure (dermal exposure only) differentiation of exposure route and ingredient concentration. Some of the product categories covered in the MOE concept are similar to those identified in chapter 3 (however, not all exposure routes are possible to assess within all product categories)
- Soap and detergents (dermal, inhalation and oral) - Personal care and cosmetics (dermal, inhalation and oral) - Paints (inhalation) - Lubricants (inhalation) - Food and additives (oral)
For each product category there is a set of default values for each of the relevant input parameters
mentioned above, which may be of use for the project.
302
Appendix 7 - Working table for 7.
overview of the various exposure scenarios to consider and from which to prioritise sceanrios for further in-depth evaluation
Selection of representative consumer exposure scenarios. The below working table has been elaborated based on the information on
nanomaterials in consumer products identified in:
- WP2, activity 2.3 (data from nano-inventories and nanodatabases);
- WP2, activity 2.4 (identification of important exposure parameters and description of
specific exposure scenarios, including literature review), and
- WP3 (bioavailability and hazards of NM in consumer products).
The working table provides in column 1-4 an overview of product categories, product
types, product matrix, and all the contained nanomaterials identified so far in WP2 and
WP3. In the various product categories a total of approximately 20 products will be
selected based on the criteria indicated below (next page).
Yellow highlights represent our initial proposal for selection:
Column 4-8 can be seen as justification for the choices and as a working platform in order
to provide information and tools to the risk assessment work in WP5, thus:
Column 4 : indicates the selected nanomaterial
Column 5: indicates selection of a specific product within the product category (found
either from product tables in appendix 4 or from descriptions in the literature review in
chapter 5).
Column 6: indicate the relevant exposure routes to be assessed and also indicate the
most relevant consumer target group to consider
Column 7: indicates comments/ reasoning for the selection with respect to e.g. expected
high or low exposure potential and/or toxicological concern (as identified in WP3) and to
indicate specific selection criteria
Column 8: refer to relevant literature found in WP2 and WP3 work to be used in the risk
assessment in WP5
Column 9: indicate proposals for risk assessment tools that might be used in WP5
303
In choosing/highlighting these, it was attempted to strive for:
- Coverage of the various product categories and type of use
- Coverage of various formulations and matrices of the
products/ articles
- Coverage of various type of use/ application methods
- Coverage of low as well as high quantitative use of the
product
- Coverage of high/ low/ uncertain exposure potential
- Coverage of use of specific user target groups in the
population
- Coverage of all relevant exposure routes (dermal, oral,
inhalation and eye)
- Coverage of uses of nanomaterials that may be of
toxicological concern
- Coverage of most used nanomaterials
304
Working table for selection of nanoproducts for describing representative exposure scenarios for consumers 1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
305
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Food and
beverages
Food additives Food matrix,
free
Silica
CaCO3
TiO2
??overall
exposure??
Chewing
gum
children
Oral
oral
NB! Only CaCO3 and
silica allowed in the
nanoform in the EU.
Chen et al paper: Over
93% of TiO2 in chewing
gum (6 brands tested) is
nanoTiO2 and most of
the TiO2 was liberated
during chewing
EFSA (2011)
on CaCO3
SCCS (2013)
on TiO2
Tox data on
nanoTiO2 in
chewing gum
(Chen et al.,
2013)
306
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
"Food supplements"
(kosttilskud)
Liquid,
free
Silver
Platinum
Palladium
Zinc
Colloid
silver
500ppm, 15
ml
oral SCENIHR
2013
Food contact materials/
leakage of silver from
refrigerator/food containers
Solid matrix,
matrix bound
Silver?
CNT
References on Ag
migration
SCENIHR
2013
307
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Cosmetics Sunscreen Liquid,
free
Nano-TiO2
or
NanoZnO
Silica
Products
up to 25%
content
(children)
Dermal/oral High exposure Nanex (2010)
MST(2007)
SCCS
(2013a)/
SCCS (2012)
Lorenz 2011
Consexpo
ECETOC TRA
MoE
308
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Spray ,
free
Nano-TiO2
or
NanoZnO
Silica
Products
up to 25%
content
(children)
Inh/Dermal/oral High exposure
Inh tox?
Nanex (2010)
MST(2007)
SCCS
(2013a)/
SCCS (2012)
Lorenz 2011
Consexpo
ECETOC TRA
MoE
Powder,
free
Nano-TiO2
NanoZnO
Silica
309
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Lipstick (semi
solid),
free
Nano-TiO2
NanoZnO
Silica
Products
up to 25%
content
(children)
oral High exposure SCCS 2013a
Lorenz 2011
Consexpo
ECETOC TRA
MoE
Anti-perspirant Spray,
free
Nano-silver
Mascara "Semisolid, paste"
free
Carbon Black
Nano-peptides
Up to 10% Eye/ dermal Abs?/Tox? SCCS 2013b
Lorenz 2011
310
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Other
creams/emulsions/gels/lotions
Liquid/crème/gel
free
Nanosilver
Fullerenes
Nanogold
Nanoplatinum
Nanocopper
Nano copper
peptides
Various
women
Dermal/ eye Tox of nanomaterials SCENIHR
2013 (Ag)
Consexpo
ECETOC TRA
MoE
Soaps Liquid and solid
free
Nanosilver
311
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Face powder Powder
free
Nano-TiO2 Up to 3%??
Women
Inh/dermal Inh tox? SCCS 2013a
Nazarenko
2012
Lorenz 2011
Consexpo
ECETOC TRA
MoE
Nanosafer
Stoffenmanager-
nano
312
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Toothpaste Semisolid/paste
free
Silica
or
TiO2
Nanosilver
Calcium peroxide
??
children
oral Exposure levels? SCCS 2013a
Lorenz 2011
Consexpo
ECETOC TRA
MoE
Mouth spray Spray,
free
Nanosilver
Mouth wash solutions Liquid,
free
Nanosilver
Cleaning Various cleaning Liquid Nanosilver Dermal
313
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
agents products/disinfectants free
Silica
Nano-TiO2
Unknown
(Inhalation – if
becomes airborne)
314
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Spray
free
Nanosilver
Silica
Nano-TiO2
Unknown
Dermal
Inhalation
Eye
High inh. exp. potential Hagendorfer
et al. (2010) -
500 ml
Nazarenko et
al. (2011)
Quadros and
Marr (2011)
Michel et al.
(2013 – silica
– one spray
shot about 2
g)
315
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Surface
treatment
Paints/coatings, including self-
cleaning surfaces
Liquids
free?
Nano-TiO2
Nanoclays
Silica
Carbon Black
Aluminium-oxide?
Nanocopper
Nanosilver
NanoZnO
Nanopolymer
particle dispersion
(acrylic ester based
polymer)
Unknown
Nanoceramics
NanoBoron
Paint
Paint
Dermal/ roller
appl
Inh/ spray appl
Large product volume (5
L), high nanomaterial
content, high exposure
potential.
Large product volume
(10L), long exposure
duration per event; high
exposure potential.
/Toxicity (inh)
Product table
WP2.3
(“TP2220
Primer”)
Nanex 2010
paint
scenario.
/SCCS 2013a
opinion
…
Product table
WP2.3
(“Bioni”)
Nanex 2010
paint
scenario
/SCENIHR
2013
preliminary
opinion Ag
ECETOC TRA;
Consexpo;
MoE
ECETOC TRA;
Consexpo;
MoE
316
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Sprays Nano-TiO2 or
Silica/Nanoclays
Carbon Black
Aluminium oxide
Nanocopper
Nanosilver
NanoZnO
(Silane
(condensated
duringuse)Siloxane
(condensated
during use))
Nanopolymer
particle dispersion
(acrylic ester based
polymer)
Unknown
Easy-to
clean/ self-
cleaning
surface
Inh / spray Large product volume
(1L), large surfaces
treated in small rooms;
high inh. exposure
/tox inh
Product table
WP2.3
(“Percenta
AG”)
MST (2007)
self-cleaning
bathroom
surface;
…
Consexpo
ECETOC TRA
MoE
Nanosafer
Stoffenmanager-
nano;
317
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
After application:
"Solid" surface -
possible release
during due to
wear/ tear and
abrasion/sanding
Nano-TiO2
Nanoclays
Silica
Carbon Black
Aluminiumoxide
Nanocopper
Nanosilver
NanoZnO
Nanopolymer
particle dispersion
(acrylic ester based
polymer)
Unknown
Nanoceramics
NanoBoron
318
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Textile/shoe impregnation/
shoes polish
Spray
free
ZnO
Silica/nanoclay?
Nanosilver
??
Liquid/paste
free
Silica/nanoclay?
??
After application:
Solid matrix with
possible release
ZnO
Silica/nanoclay
??
319
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Textiles Cuddley toy Solid matrix
Nanosilver Children Oral
Dermal
Various: Socks, t-shirts, shoe-
soles…
Solid matrix
Nanosilver
Nano-TiO2
(CNT-bamboo
charcoal?)
(Teflon?)
Unknown
Dermal
Widespread use of
nanosilver in textiles
Longterm dermal
contact
Danish EPA
(2012)
Nanex (2010)
Benn and
Westerhoff
(2008)
Goetz et al.
(2013)
Quadros et al
(2013)
320
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Construction
materials
Concrete/cement When applying:
Powder, liquid
suspension
free
Silica
CNT
Metal oxides
Unknown
Dermal
Inhalation
Eye
van
Broekhuizen
et al. 2010,
Nano
Connect
Scandinavia,
2012.
NanoForum,
2006
321
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
After use:
Possible release
from tear/wear
and
drilling/sanding
Free/debris
Silica
CNT
Metal oxides
Dermal
Inhalation
Steel alloys Solid matrix
Matrix bound
“Carbon”
“Iron”
Dermal
322
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Glass Solid
matrix/surface
Matrix bound
Tungsten oxide
Silica
Metal oxides
Nanosilver
Carbon fluorine
Polymers
NanoTiO2
Dermal
323
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Medical
devices
Wound dressings Solid matrix,
Free?
Nanosilver
Nanoclay
Dermal
High exposure
Case reports that this has
lead to toxicity
Nanex (2010)
Vlachou et al.
(2007)
Trop et al.,
2006
Rigo et al.
(2012)
Roman et al.
2013
324
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Coatings for implants Solid matrix
Matrix bound
Nanosilver "Systemic"
(Dermal)
Ostomy bags Solid matrix
Matrix bound
Nanocopper Dermal
325
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Dental fillings When applied:
Liquid/ paste
Free?
After treatment:
Solid
One of the
following:
Silica
Zirconia
Nanocomposite
(nanopolymer)
resin used as root-
end filling material
Oral (during and
after appications)
Inhalaiton (During
polishing/sanding)
/Moulding and
abrasion
Potential long-term oral
exposure
Van Landyot
et al. (2012)
Air cleaners Air conditions etc. Solid matrix
Matrix bound
Nanosilver
TiO2
(Activated carbon)
Inhalation Potential for long term
inhalation if released
326
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Fuel and
lubrication
oil additives
Additives Liquid
free
Gold
CeO2
Tungsten
disulphide
"Nanofilm"
Dermal
(Inhalaiton)
Electronic
devices /
products
Various Solid matrix
Matrix bound
Nanosilver
NanoZnO
Nanogold
Silica
Dermal
327
1
Product
category
2
Product type
3
Matrix
Including
assumptions
regarding
release
potential: free
or matrix
bound
4
Nanomaterials
5
Specific
product
(here the
chosen
product is
indicated)
+ (target
group)
6
Exposure route/
application
7
Comments/reasoning
for selection
Relevant exposure
parameters (WP2)
for high –low
exposure potential/
Toxicological
concern (WP3)
(see selection
criteria)
8
References/
data
WP2/ WP3
9
Other
potential
models for
contributing
to exposure/
risk assess
Appliances Washing machines,
refrigerators
Solid matrix,
Matrix bound
Nanosilver
NanoIron
“Carbon”
Dermal
Composite
(see also
"surface
treatment")
Various reinforced
matrices/polymers
Solid matrix –
possible release
from tear/wear
and
abrasion/sanding
CNT
Nanoclay
Inhalation
(Dermal)
Sports equipment Solid matrix –
possible release
from tear/wear
and
abrastion/sanding
CNT Inhalation
(Dermal)
328
Appendix 8 - Exposure 8.estimations of 20 selected examples of representative
Consumer scenarios with respect to nanomaterial exposure
329
Scenario 1 - Product: Chewing gum with TiO2 food additive (E171) 8.1
Description of product:
TiO2 in the form of E171 in chewing gum, i.e. in an elastomer matrix.
Description of exposure scenario:
Several types of chewing gum exist and it is assumed that most population groups (except
babies and very small children) might use chewing gum.
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data* Estimated* Comments/
References
Product category Food/candy with
food additive
Type of Product Chewing gum
ID of nanomaterial TiO2 with a nano-
TiO2 fraction
Weir et al.: 36% of
particles are in nanoform
Chen et al (2013): 18-44
% of particles below 100
nm
More than 93% of the
particles below 200 nm.
(based on TEM and SEM)
Physical matrix/form of
product
Elastomer matrix
Package design, volume Typically 10
pieces of
chewing gum
in a chewing
gum back
Application/use/ handling Chewing the
chewing gum
leading to
swallowing of
released TiO2
Chen et al. (2013)
Location of nanomaterial eg.
free/ matrix-bound
In an elastomer
Direct/ indirect exposure Intended oral; i.e.
direct exposure
Indoor/ outdoor use Both, but
irrelevant for
this
assessment
Generation of nanomaterial
during use
Unlikely But release during use
(Chen et al., 2013)
Specific target group (children,
teenagers etc.)
All population
groups except
babies and very
330
young children
Forseeable misuse Possibly
individual
swallowing
the chewing
gum.
Possibly
individuals
chewing large
amounts
Site of contact/ exposure Gastrointestinal
tract
Primary exposure route(s) Oral
Concentration of
nanomaterial in product
>1 mg/g
1.7 – 3.9 mg/g
Weir et al (2012)
Chen et al (2013)
Volume of product used,
exposed to
Each gum
contains 2.4 mg -
7.5 mg TiO2
As a realistic
worst case, we
assume intake
of 20 pieces of
chewing gum
per day
Chen et al. (2013)
Body area exposed to NA
Retention rate on body
surface
NA
Migration/liberation rate of
nanomaterial from matrix
> 95% Chen et al. (2013)
Ingested amount All of the
released
Volume of product released
to air / concentration in air
NA
Duration of exposure Almost all TiO2 is
released during
the first ten
minutes
Some users
may use
chewing gum
during the
whole day
Chen et al. (2013) shows
that
Frequency of exposure Some users
may
frequently
take a new
piece of
chewing gum
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
331
Based on the availability of data the most relevant algorithms are generated/ selected for
estimation of the exposure (algorithms for various purposes and at various tiers are
described in chapter 4, section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
NA
Dermal exposure
NA
Oral exposure
Total TiO2 intake (mg): N * Rel * M (mg)/ BW (kg)
N: Number of gums per day
Rel: Fraction released
M: Mass of TiO2 per gum (mg)
BW: Body weight (kg)
Nano- TiO2 intake: Fnano * Total TiO2
Fnano: Fraction of TiO2 in nanoform
No source. Own
equation based o
mass-based
considerations
Eye exposure
NA
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: xxx
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight Children: 18.6
kg
Mean for 3-6 years old
children
332
Adult: 60 kg
Recommended for adult
women
Source: Nordic council of
Ministers (2011)
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/ References
Inhalation exposure
NA
Dermal exposure NA
Oral N:20 pieces
Rel: 1 (100%)
M: 7.5 mg TiO2/piece of gum
Fnano: 0 - 1
Assumed worst case
Worst case based on Chen
et al. (2013). It is assumed
that this released amount I
swallowed
Worst case based on Chen et
al. (2013)
See below discussion
Eye NA
Step 4
Total TiO2 intake:
Daily:
Child: 20 pieces/day * 1 (release fraction) * 7.5 mg TiO2 per piece / 18.6 kg bw= 8.1 mg TiO2/kg
bw/day
Adult: 20 pieces/day * 1 (release fraction) * 7.5 mg TiO2 per piece / 60 kg bw = 2.5 mg TiO2/kg
bw/day
Total annual dose:
Child and adult: 365 days/year * 20 pieces/days * 7.5 mg TiO2 per piece = 54,750 mg/year =
Approx. 55 g TIO2/year.
A very rough assumption would be to assume that all TiO2 is nano.
However Weir et al. (2012) notes that about 36% of the E171 TiO2 particles could be in the
nanoform and Chen et al. (2013) notes that the figure is around 18-44%.
These numbers are fractions of the particles, thus the fraction of the mass would be considerably
lower, but depend on the size distribution. Chen et al. (2013) notes that about 93% of the particles
333
are below 200 nm, thus the distribution does not seem to be skewed too much towards larger
particles.
Overall, it seems that a very conservative estimate would be that 20% of the mass is in the nanoform
(if the distribution is skewed towards smaller particles, otherwise much less). This would give:
Daily nano-TiO2 intake:
Child: 0.20 * 8.1 mg/kg bw/day = 1.62 mg nanoTiO2/kg bw/day
Adult: 0.20 * 2.5 mg/kg bw/day = 0.50 mg nanoTiO2/kg bw/day
Total annual nano-TiO2 intake:
Child and adult: 0.1 * 55 = 5.5 g nano-TiO2/year
Step 5
Uncertainties of the described exposure scenario:
Overall the estimates are considered very conservative. As a starting point, these estiates will be
used in the risk assessment (first tier). If this indicates a risk, we will iteratie the risk assessment
with more detailed and reasonable exposure estiamtes (second tier).
EFSA in an assessment of whether the rutile form could be used in addition to the anatase forms of
TiO2 for food additives, estimated the following rutile TiO2 intakes (EFSA, 2004) for adults:
Proposed Use Use-Level Estimated Intake1
Medicinal Product Tablet 0.4% 0.25 mg/kg bw/day
Food Supplement Tablet 0.4% 0.625 mg/kg bw/day
Confectionery2
0.068% 0.407 mg/kg bw/day
Total 1.282 mg/kg bw/day
i.e. about 1mg/kg bw/day (0.407 mg/kg bw/day from confectionaries and 0.625 mg/kg bw/day for
food supplements). EFSA (2014) assumes that about 20% is the consumed food additive amount is
rutile. Thus the remaining 80% would be anatase. Thus the total TiO2 volume would 5*1 mg/kg
bw/day equalling about 5 mg/bw/day. Weir et al. (2012) estimated that realistic average food intake exposures for the UK population was
2-3 mg TiO2/kg bw/day for children under the age of 10 years, whereas exposure for higher age
groups were estimated to about 1 mg TiO2/kg bw/day.
These figures support that our total TiO2 estimates of 8.1 (child) and 2.5 (adult) mg TiO2/kg bw/day
just for chewing gum can be considered rather conservative estimates.
Further, the estimated nano fraction is considered further conservative given the assumed mass
fraction in the nanosize. See above discussion.
Step 6 (for use in WP5)
E171 as such does not meet the nanodefinition, which is line with the legal situation where nano-
TiO2 has not been assessed in relation to the food additive positive list entry for TiO2 (E171).
However, still the consumer would be exposed to nanoparticles below 100 nm due to the nanotail
constituting about 20-40% of the number particle size distribution. Further, the 100 nm cut-off is
rather arbitrary and it is worth noting that an estimated 93% of the particles are below 200nm.
Combined exposure from other food source are likely.
Weir et al. (2012) notes that candies with hard chocolate shell have similar contents of E171 as
chewing gum, about 1 mg/g. Some consumers of such candies could perhaps (very conservatively)
eat up to 500 grams of such candies per day equalling 500 mg/day or about 27 mg TiO2/kg bw/ day
for children or 3.7 mg nanoTiO2/kg bw/day! But again this is very conservative.
334
As can be seen from the EFSA (2004) a small fraction of E171 might result from intake via medical
product tablets.
Overall, it is suggested that WP3 toxicity (oral) considers food grade TiO2 as such rather than the
contained nano-fraction below 100nm.
References:
Weir A, Westerhoff P, Fabricius L, Hristovski K, and Goetz NV. 2012. Titanium Dioxide
Nanoparticles in Food and Personal Care Products. Environ. Sci. Technol 46, 2242-2250
EFSA. 2004. Opinion of the Scientific Panel on Food Additives, Flavourings, Processing Aids and
materials in Contact with Food on a request from the Commission related to the safety in use of
rutile titanium dioxide as an alternative to the presently permitted anatase form - Question N°
EFSA-Q-2004-103. Adopted on 7 December 2004. The EFSA Journal (2004) 163:1-12
Chen X-X, Cheng B, Yang Y-X, Cao A , Liu J-H, Du L-J, Liu Y, Zhao Y, Wang H. Characterization
and Preliminary Toxicity Assay of Nano-Titanium Dioxide Additive in Sugar-Coated Chewing Gum.
Small , 9 (9–10), 1765–1774. DOI: 10.1002/smll.201201506
335
Scenario 2 - Product: Nano-Silica in food items 8.2
Description of exposure scenario
SiO2 in its amorphous form is currently authorised under Directive 95/2/EC as an additive (E551)
other than colours and sweeteners (e.g. as an anticacking agent). E551 is e.g. used in various powder
food items, dry cereals, in tablets and in some cheese. It may be used in a concentration up to 10 g
/kg (and for some items e.g in tablets in quantum satis amounts). Manufactured nano-silica is
according to Kesteren et al. (2014) also known as synthetic amorphous silica (SAS).
Further specifications of commercial available qualities of E551 on the market indicate that the food
additive contain nanoparticles.
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data* Estimated* Comments/
References
Product category Food
Type of Product Various food
items
Dekkers et al. (2011).
ID of nanomaterial Silica
Characterisation e.g. size distr. Amorphous silica.
From analysis of two silica
(E551) qualities (Aerosil
200F and Aerosil 380F)
specific surface areas of
199 m2/g and 388 m2/g
were determined (BET
nitrogen adsorption
method). Primary particle
size diameters of 12 nm
and 7 nm were
determined using
transmission electron
microscopy, however,
most of the primary
particles formed larger
aggregates and
agglomerates. (Dekkers et
al. 2011)
Physical matrix/form of
product
various Powders,
pills/tablets,
salt, cakes etc.
Package design, volume Various food
items
Application/use/ handling ingestion
Location of nanomaterial eg.
free/ matrix-bound
Mixed in the food
item or surface
attached
Direct/ indirect exposure direct
Indoor/ outdoor use -
Generation of nanomaterial
during use
No
336
Specific target group (children,
teenagers etc.)
All
Forseeable misuse -
Site of contact/ exposure Gastrointestinal
tract
Primary exposure route(s) oral
Concentration of
nanomaterial in product
Up to 10 g/kg
(1%)
For some formulations
e.g. tablets even higher
concentrations
Volume of product used,
exposed to (1)
Up to more than
100 grams
Body area exposed to oral
Retention rate on body
surface (1)
1
Migration/liberation rate of
nanomaterial from matrix
Up to 100%
migration
Ingested amount See below
Concentration in air/
Volume of product released
into air
Duration of exposure - -
Frequency of exposure daily
“ - “ if not given or not relevant
The available information of the cumulated exposure to nano-silica derives from the study by
Dekkers et al. (2011). Dekkers et al. (2011) made a detailed assessment of nano-silica (synthetic
amorphous silica also sometimes denoted silicon dioxide, SiO2) in food.
The total concentrations of silica in 26 products containing E551 were found to be in the range of 0 -
13.7 mg/g. The nano-silica content was determined in seven products (sauce, soup, coffee cream,
pancake mix, seasoning products and spicy rubs) and was in the range of <0.1 - 1 mg/g with the
highest content found in coffee creamer. The highest relative content of nano-silica of 33%
(compared to the total silica content) was found in instant asparagus soup, however, this product
had an overall low total silica content of 0.6%.
It was determined that when 2 g of the coffee cream was added to 200 ml coffee the ready to drink
content of nano-silica was 22 mg/L.
EFSA (2009) in their opinion on silicon dioxide/ silicic gel indicated that for food supplements the
recommended dose is about 1500 mg silicon dioxide /day (corresponding to about 21-25 mg/kg
bw/d)
337
Step 2 Algorithms
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
-
Dermal exposure
-
Oral exposure
Doral (mg/kg bw/d) = A x C x Fnano / BW
A: amount of a food item ingested per day (g/d)
Worst case estimates of the daily intake (A) were made
by Dekkers et al. (2011) based on food intake rates
from the Dutch Food Consumption Survey combined
with expert judgements.
C: Concentration of substance (mg/g)
Fnano: Fraction of nano-particles of the substance
BW: bodyweight
Eye exposure
-
Step 3 Target group
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
338
Target population: adults
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 70 kg used by Dekkers et al.
(2011)
Inhalation rate
Skin surface (site of contact)
Specific behaviour (duration for
e.g. mouthing of children)
Others
Step 4 Exposure estimation
Adults
Dekkers et al. (2011) made estimates (for adults) of the daily intake of nano-silica from 14 food
products containing E551.
Mean concentrations of silica contents and nano-silica contents were used instead of worst case
because concentrations will average out over time.
Information on portion sizes was derived from packing and manufacturer information.
Worst case assumptions about number of portions were used. Thus it was assumed that every day
one portion of pancakes, one portion of instant noodles, one portion of asparagus soup, four
vitamin C pills, two cakes and six cups of coffee with creamer was consumed. In addition, every five
days a portion of lasagne, minced meat with seasoning mix and cheese sauce, vegetables with rub, a
Mexican-style dish with taco and guacamole and burrito seasoning, and Indonesian–style rice with
meat and vegetables with nasi rames seasoning mix were consumed.
From these estimates daily exposures to nano-silica of 33 mg, 20 mg and 15 mg were found from
intake of coffee creamer, seasoning mix and cheese sauce, respectively. A total daily consumption of
124 mg nano-silica per day (corresponding to 1.8 mg/kg bw d) was estimated from intake
from the total of the 14 different food products (for seven of the products not analysed for the nano-
silica fraction (products such as e.g. vitamin products, other seasoning mixes and a cake) a worst
case assumption of a relative amount of nano-silica of 50% in E551 was assumed).
No further data has been found to refine or adjust this exposure estimate by Dekkers et al. (2011).
In specific cases much higher silica exposure of 1500 mg/day may occur when consuming food
supplements as indicated by EFSA (2009). If the nano-fraction is e.g. 10% this would result in a
daily consumption of 150 mg nano-silica/d which exceeds the estimate from Dekkers et al.
(2011).
Children
When exposed through food small children are often on a weight basis exposed to a higher degree
compared to adults (about a factor of two) because of higher energy demand per kg bodyweight.
Based on the data by Dekkers et al. (2011) it is considered very difficult to make a child estimate
regarding nano-silica exposure as many of the products containing nano-silica are more addressed
to adults than children (e.g. coffee creamer, various seasoning etc.). Thus no exposure estimation
for children is performed.
339
Step 5 Uncertainties of the described exposure scenario
No uncertainty pertain to that E551 contain nano-sized particles (mainly as agglomerates). However
the relative content of the nano-sized silica particles may vary a lot.
The exposure assessment is made on a very high level based on analytical data and of expert
knowledge concerning intake rates of various food items. As indicated by Dekkers et al. (2011) the
calculated daily intake of nano-SiO2 should be considered as a worst case estimate due to worst
caseintake rates of the analysed food items and due an assumed high default level of 50% for the
relative content of nano-silica in food-items where the non-size fraction was not analytically
determined.
On the other hand the study may have over-looked some food items with contents of E551 (e.g
cereals that may be especially relevant for exposure of children).
Step 6 (for WP5)
Other exposure to nano-silica may result from cosmetics as there is not regulatory limit for the use
of silica in cosmetics. Both oral (e.g. toothpaste), dermal (e.g. creams) and inhalational nano-SiO2
exposure (e.g. face powder) may occur. Use of other types of products e.g. surface treatment sprays
and liquids may result in inhalational as well as dermal exposure to nano-SiO2.
In relation to the use of silica in food contact material EFSA (2013 and 2014) concluded that no
migration/ exposure is expected to occur from these uses.
References
Dekkers S, Krystek P, Peters RJB, Lankveld DPK, Bokkers BGH, Hoeven-Arentzen PHv,
Bouwmeester H, and Oomen AG. (2011). Presence and risks of nanosilica in food products.
Nanotoxicology 5(3), 393-405.
EFSA (2009). Calcium silicate and silicon dioxide/silicic acid gel added for nutritional purposes to
food supplements. Scientific Opinion of the Panel on Food Additives and Nutrient Sources added to
Food. The EFSA Journal (2009) 1132, 1-24
EFSA (2013). SCIENTIFIC OPINION. Scientific Opinion on the safety evaluation of the active
substances iron, sodium chloride, water, silica gel, activated carbon, monosodium glutamate,
potassium acid tartrate, powdered cellulose, malic acid, chabazite, hydroxypropyl cellulose,
potassium carbonate, sodium thiosulfate, propylene glycol, glycerin, polyethyleneglycol sorbitan
monooleate, sodium propionate and clinoptilolite for use in food contact materials. EFSA Journal
2013;11(4):3155
EFSA (2014). SCIENTIFIC OPINION. Statement on the safety assessment of the substance silicon
dioxide, silanated, FCM Substance No 87 for use in food contact materials. EFSA Journal
2014;12(6):3712
van Kesteren PC, Cubadda F, Bouwmeester H, van Eijkeren JC, Dekkers S, de Jong WH, Oomen AG
(2014) Novel insights into the risk assessment of the nanomaterial synthetic amorphous silica,
additive E551, in food. Nanotoxicology July 18:1-10.
340
Scenario 3 - Product: Nano-Ag food supplement 8.3 Description of exposure scenario Several nano-Ag supplements products have been found in the inventories of nano consumer products. Step 1 Product and exposure relevant information established in chapter 4 is filled in below, supplemented with additional information when necessary. Parameter Specified
data* Estimated* Comments/ References
Product category Food Type of Product Food
supplement
ID of nanomaterial Colloidal Ag
http://www.fairvital.com/product_info.php?products_id=77
Characterisation e.g. size distr.
0.65 nm http://www.purestcolloids.com/mesosilver.php This seems to be a very small particle size. Depending of the liquid matrix and the production methods the particle size of colloid silver may vary greatly within the range of 1-100 nm. https://www.silverinstitute.org/site/wp-content/uploads/2014/04/EPA_SAP_SNWGpresentation_Nov2009.pdf
Physical matrix/form of product
liquid
Package design, volume
15 - 500 ml http://www.fairvital.com/product_info.php?products_id=77 http://www.purestcolloids.com/mesosilver.php
Application/use/ handling
ingestion
Location of nanomaterial eg. free/ matrix-bound
Dissolved/ suspended in liquid
Direct/ indirect exposure
direct
Indoor/ outdoor use - Generation of nanomaterial during use
-
Specific target group (children, teenagers etc.)
adult
Forseeable misuse - Site of contact/ exposure
Gastrointestinal tract
Primary exposure route(s)
oral
Concentration of nanomaterial in product
500 mg/l; 10 mg/l
http://www.fairvital.com/product_info.php?products_id=77 http://www.purestcolloids.com/mesosilver.php
Volume of product used, exposed to
Up to 60 ml; 1.25 ml
http://www.purestcolloids.com/mesosilver.phphttp://www.fairvital.com/product_info.php?products_id=77
Body area exposed to (1)
oral
Retention rate on body surface (1)
1
341
Migration/liberation rate of nanomaterial from matrix
100%
Ingested amount 60 ml; 1.25 ml
http://www.purestcolloids.com/mesosilver.phphttp://www.fairvital.com/product_info.php?products_id=77
Concentration in air/ Volume of product released into air
-
Duration of exposure
-
Frequency of exposure
Daily
-
* Use “ - “ if not given or not relevant
In relation to ingesting of colloid silver either as food supplement or as (alternative) medicine several cases have demonstrated visible effects. After absorption of silver from the preparations the persons have developed a bluish-gray discoloration of the skin and eyes (argyria). Thus, Kim et al. (2009) recently described a case in which a woman during 16 months had ingested about 1 liter of colloid silver solution. The woman developed blue-gray discoloration of mucous membranes and skin, especially in the head and on the hands, i.e. areas getting sun-exposed. The serum silver concentration was highly elevated (381 ng Ag/ml compared to a reference level of <15 ng Ag/ml). Step 2 Algorithms
- Based on the availability of data the most relevant algorithms are generated/ selected for estimation of the exposure (algorithms for various purposes and at various tiers are described in chapter 4, section 4.2) :
- - Exposure
route - Algorithms used - Comments/
References - Inhalation
exposure - - - - - - -
- - -
- Dermal exposure
- - - - - -
- - -
- Oral exposure - - - - - - -
- Doral (mg/kg bw d) = A x C x Fnano / BW
- - A: amount of a food supplement
ingested per day (g/d) - C: Concentration of substance
(mg/g) - Fnano: Fraction of nano-particles
of the substance - BW: bodyweight -
-
- Eye exposure
- - -
342
Step 3 Target groups For the identified target population relevant values for anatomical/physiological parameters are selected. As information sources the following may be consulted: REACH guidance R15, 2012: Consumer exposure assessment. http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure assessment. http://www.norden.org/en/publications/publikationer/2012-505/
- Target population: adult female - - - Anatomical
/Physiological parameters
- Specified - Estimated - Comments/ References
- Body weight (adult, woman)
- 60 kg - - REACH guidance R15
- Inhalation rate
- - -
- Skin surface (site of contact)
- - -
- - - - - Specific
behaviour (duration for e.g. mouthing of children)
- - -
- Others - - -
Step 4 Exposure estimations
Doral (mg/kg bw d) = A x C x Fnano / BW A: amount of a food supplement ingested per day (g/d) For the high concentration product a daily dose of 1.25 ml is recommended. The bottle is intended to deliver the liquid drop-wise, however it may be difficult to control such small volumes. As some consumers further may use increased doses compared to recommended doses a daily dose of 2.5 ml is used as a worst case assumption. C: Concentration of substance (mg/g) 0.5 mg/ml Fnano: Fraction of nano-particles of the substance 100% (colloid silver) BW: bodyweight 60 kg Doral (mg/kg bw d) = 2.5 ml x 0.5 mg nano-Ag/ml x 1 / 60 kg = 0.021 mg nano-Ag/kg bw/d.
Thus, this exposure corresponds to an ingestion of a total dose of 1.2 mg nano-Ag per day. It should be noted that these doses are daily doses that may occur over a duration of years.
343
Step 5 Uncertainties of the described exposure scenario: No great uncertainty pertains to the exposure estimate as the estimate is based on given information on concentration and recommended dose to use. However it may be considered as a worst case scenario for nano-Ag exposure from food supplements as the highest found concentration of nano-Ag among the products is used and as the daily dose is assumed to be a factor 2 higher than the recommended dose. Regard the colloid size of silver in these products this may vary a lot, but most probably within the size range of the EU-definition of nanomaterials (1-100 nm). Step 6 (for use in WP5) Although nano-silver may be used in a lot of various consumer products (cosmetics; surface treatment, air cleaner spray) the exposure in relation to food supplement preparations may constitute the far highest exposure. Several cases of argyria (discoloration of skin and eyes due to deposition of silver) have been reported due to absorption of silver (either as colloids or ionic silver) after excessive oral exposure from food supplement or self-medication with colloid silver. Dermal exposure may further be relevant in connection with use of cosmetics containing nano-Ag (eg. soap and cream) and in connection with use of surface treatment with liquids/ sprays. Also dermal exposure from the use of nano-silver in wound dressings may occur. Inhalation may especially be relevant in connection spray applications e.g. surface treatment of spray paint. Further the use of biocides with nano-Ag as the active component and use of medical devices e.g. wound-dressing may lead to additional exposure. References Height (2009). Evaluation of Hazard and Exposure Associated with Nanosilver and Other Nanometal Oxide Pesticide Products. Presentation at the FIFRA SCIENTIFIC ADVISORY PANEL (SAP) OPEN CONSULTATION MEETING November 3 - 6, 2009 Arlington VA. https://www.silverinstitute.org/site/wp-content/uploads/2014/04/EPA_SAP_SNWGpresentation_Nov2009.pdf Kim et al. (2009). A case of generalised argyria after ingestion of colloid silver solution. Am J Ind Med 52, 246-250. Product specifications: http://www.fairvital.com/product_info.php?products_id=77 http://www.purestcolloids.com/mesosilver.php
344
Scenario 4 - Product: Food contact material containing Silica 8.4
Description of exposure scenario:
Exposure in relation to migration of silica from food contact material into food
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified
data*
Estimated* Comments/
References
Product category Food and
beverages
Type of Product Food contact
material
No specific product found
ID of nanomaterial Silica gel (FCM
no 504)
Silicon dioxide,
silanated (FCM
no 87)
EFSA (2013)
EFSA (2014)
Characterisation e.g. size distr. See below**
EFSA (2013)
EFSA (2014)
Physical matrix/form of product Plastic materials
and articles in
contact with
food
Package design, volume
Application/use/ handling Packing
material, food
container
Location of nanomaterial eg.
free/ matrix-bound
Embedded in
polymer matrix
Direct/ indirect exposure Indirect
Indoor/ outdoor use -
Generation of nanomaterial
during use
-
Specific target group (children,
teenagers etc.)
All
Forseeable misuse, alternative
use
-
Site of contact/ exposure Oral
Primary exposure route(s) Oral
Concentration of
nanomaterial in product
No restriction
e.g. 3% w/w
EFSA (2014)
Volume of product used,
exposed to
-
Body area exposed to -
Retention rate on body
surface
-
345
Migration/liberation rate of
nanomaterial from matrix
no migration EFSA (2013); EFSA (2014)
Ingested amount -
Concentration in air/
Volume of product released
into air
-
Duration of exposure -
Frequency of exposure -
* “ - “ if not given or not relevant in a specific context
** Silica gel (silicon dioxide): is authorised as additive or monomer for plastic materials and articles in
contact with foods (Regulation (EU) No 10/2011). The use is restricted to: Synthetic amorphous
silicon dioxide: primary particles of 1 – 100 nm which are aggregated to a size of 0.1 – 1 μm which
may form agglomerates within the size distribution of 0.3 μm to the mm size (FCM Substance No
504). It is also listed in Regulation (EU) No 1129/2011 amending Annex II to Regulation (EC) No
1333/2008 9of the European Parliament and of the Council by establishing a Union list of Food
Additives, with a specific maximum level of 10g/kg or higher, depending on the foodstuffs (E 551).
EFSA (2013).
Silicon dioxide, silinated:. Using TEM (transmission electron microscopy) analysis of the additive in
powder form, the primary particles were estimated to be ca. 12 nm in size and they were all
aggregated in the range 100-300 with some evidence of larger agglomerates. No isolated primary
particles were observed in the many TEM images recorded and analysed. Using AF4-MALS
(asymmetric-flow field flow fractionation with multi-angle light scattering detection) the particle
size distribution of the powder product (dispersed in ethanol to allow injection onto the system) was
estimated to be about 160 – 600 nm, peaking at about 300 nm. EFRS (2014)
Step 2 Algorithms
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms to use Comments/
References
Inhalation exposure
-
Dermal exposure
-
Oral exposure -
346
Eye exposure
-
Step 3 Target group
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: adult, infant, child, teenager etc.
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight
Inhalation rate
Skin surface (site of contact)
Specific behaviour (duration for
e.g. mouthing of children)
Others
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Room volume
Air exchange rate (room ventilation)
Distance from breathing zone
Particle size distribution
Dustiness
Etc.
Dermal exposure Film thickness on skin
Viscosity
347
Etc
Oral
Eye
Step 4 Exposure estimation
Calculations/ estimations
According to EFSA (2013) and EFSA (2014) opinions no migration and thus no consumer
exposure is to be expected from the use of silica (including nano-silica) in food contact
materials.
Migration testing of low density polyethylene (LDPE) containing up to 3% of silicon dioxide,
silanated found no detectable migration of the substance (detection limit of 0.3-0.6 µg/kg simulant
(i.e. 0.3-0.6 ppb)) (EFSA 2014).
Step 5 Uncertainties of the described exposure scenario:
In the specific case of migration testing no migration was found even at very low limits of detection.
The conclusion by EFSA (2014) is based on migration tests on one type of LDPE polymer. Some
uncertainty remains to whether these data would be representative for other polymers as well.
Step 6 (for use in WP5)
References
EFSA (2013). SCIENTIFIC OPINION. Scientific Opinion on the safety evaluation of the active
substances iron, sodium chloride, water, silica gel, activated carbon, monosodium glutamate,
potassium acid tartrate, powdered cellulose, malic acid, chabazite, hydroxypropyl cellulose,
potassium carbonate, sodium thiosulfate, propylene glycol, glycerin, polyethyleneglycol sorbitan
monooleate, sodium propionate and clinoptilolite for use in food contact materials. EFSA Journal
2013;11(4):3155
EFSA (2014). SCIENTIFIC OPINION. Statement on the safety assessment of the substance silicon
dioxide, silanated, FCM Substance No 87 for use in food contact materials. EFSA Journal
2014;12(6):3712
348
Scenario 5 - Product: Sun screen lotion 8.5
Description of product: Sun screen containing nano-TiO2
Description of product: Sun screen containing nano-TiO2
Description of exposure scenario: Dermal application of sun screen
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified
data*
Estimate
d*
Comments/ References
Product
category
Cosmetic
Type of Product Sun Screen
ID of
nanomaterial
Nano-TiO2 SCCS (2013a). OPINION ON Titanium Dioxide (nano form).
http://ec.europa.eu/health/scientific_committees/consumer_safety/d
ocs/sccs_o_136.pdf
Characterisatio
n e.g. size distr.
Size
Particles
Aspect ratio
Volume specific
surface area
Crystal form
Purity
Coating
Crystals:
9-21 nm
(XRD)
1.5 and up
to 4.5
192-460
m2/cm3
Rutile with
max. 15 %
anatase
≥99.5%
Yes
The below is based on industry data submitted to SCCS.
SCCS (2013a)
SCCS (2013a): The median particle sizes of the different materials
range from ~44 nm to 354 nm on volume weighted basis, and ~34 nm
to ~99 nm on number weighted basis. The lower size cut offs range
between 17 nm and 73 nm.
SCCS (2013a)
SCCS (2013a)
SCCS (2013a)
SCCS (2013a)
See table 1 in SCCS (2013a). Includes the following types of coatings:
alumina/silica, methicone/silica, aluminium hydroxide and
dimethicone/methicone copolymer, trimethyloctylsilane,
alumina/silicone and alumina/silica/silicone, dimethicone,
simethicone, stearic acid, glycerol, dimethoxydiphenylsilane,
triethoxycaprylylsilane
349
Physical
matrix/form of
product
Liquid
Package design,
volume
≤ 500 ml Larger sizes can be found but are typically not on the Danish market
Application/use
/ handling
Leave-on
product,
manual
Location of
nanomaterial
eg. free/
matrix-bound
In liquid
matrix
Direct/ indirect
exposure
Direct,
intended,
leave-on
Indoor/
outdoor use
Mainly
outdoor
Can be applied indoor
Generation of
nanomaterial
during use
No, but
possible
de-agglo-
meration
SCCS (2013a)
Specific target
group (children,
teenagers etc.)
All
Forseeable
misuse
May be
used on
the lips
Site of contact/
exposure
Whole
body
Primary
exposure
route(s)
Dermal
(oral, eye)
Concentratio
n of
nanomaterial
in product
≤25%
containing
max. 15%
anatase
SCCS (2013a)
Volume of
product used,
exposed to
36 g/day in
DK
72 g/day
south of
DK
Based on Danish EPA (2014) recommendation:
- 2 times the amount suggested by SCCS (2012a) 36 g/day) as a worst
case scenario for Danish summer conditions and 4 times the amount
for a summer in the south, i.e. 72 g/day)
Or
- In Denmark: 1 application per days of the amount suggested in
European Commission (2006): 36 gram/day
- South: 2 applications per day, i.e. 2x36 = 72 gram/day
Body area
exposed to
Total body
area:
17500 cm2
SCCS (2012a): adult
Retention Assumed SCCS (2012a) (For body lotion and other leave-on products)
350
rate on body
surface
1
Migration/lib
eration rate
of
nanomaterial
from matrix
As worst
case it
must be
considere
d possible
for all
nano-
material
to reach
the skin
Ingested
amount
0.9 mg/kg
bw/day
For
children
an
additional
hand-to
mouth
amount
SCCS (2012a): Exposure from lipstick/lip salve (if the sunscreen is
used on the lips)
Concentratio
n in air/
Volume of
product
released into
air
NA
Duration of
exposure
16
hours/d
up to
24/hours/
d
Frequency of
exposure
25
days/year
2/day
Nanex (WP4), 2010: Estimated number of days per year: 25
SCCS (2013a): 2 applications per day
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
351
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
Not considered relevant in relation to sunscreen lotion
applied manually.
Dermal exposure
The dermal load is calculated as:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛
The external dermal dose is calculated as:
𝐷𝑑𝑒𝑟 =𝑛 × 𝑄𝑝𝑟𝑜𝑑 × 𝐴𝑠𝑘𝑖𝑛 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐵𝑊
Daily amount: Qprod (Amount per application) * n
(number of applications)
Qprod: Amount per application (mg)
Cnano: Fraction of nano TiO2 in product (0.25)
Askin: Surface of exposed skin (cm2)
BW: Body weight (kg)
RR: Retention rate
n: number of applications (/day)
Oral exposure
Applications on lips (children, teenagers and adults): To
be calculated as for TiO2 in lipstick (scenario 8)
In addition for children (Conservatively assuming that
50% is sucking of 10 fingers):
𝐼𝑛𝑡𝑜𝑟𝑎𝑙 = 0.5𝑥𝐴𝑓𝑖𝑛𝑔𝑒𝑟𝑠
𝐴𝑏𝑜𝑑𝑦𝑥
𝑛 × 𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜
𝐵𝑊
Where:
Afingers: Area of 10 fingers
Abody: Area of body
Qprod: Amount per application (mg)
Cnano: Fraction of nano TiO2 in product (0.25)
BW: Body weight (kg)
SCCS (2012a)
352
n: number of applications (/day)
Eye exposure
Expected to be negligible compared to the full body
exposure
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults/ children
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 60 kg (adult)
9.47 kg (13.5
months)
9.85 kg (1.5
year)
16.3 kg (4.5
years)
SCCS 2013a
Nordic Council of
Ministers (2011)
Skin surface (site of contact) 17500 cm2
(body adult)
4670 cm2
(body 13.5
months)
4800 cm2(1.5
year)
7090 cm2(body
4.5 years)
230cm2 (adult
fingers)
SCCS 2013a
Nordic Council of
Ministers (2011)
Idem
Idem
Idem
Dose which may be ingested 0.9 mg/kg
bw/day (adult)
SCCS (2012a)
Specific behaviour (duration for
e.g. mouthing of children)
Children may suck on e.g.
their fingers.
Others
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
353
Exposure routes Specific parameters Comments/
References
Inhalation exposure
NA
Dermal exposure No additional parameters
Oral No additional parameters
Eye NA
Step 4
This section describes and explains the calculation of exposure:
DERMAL
Adult:
Dermal load (1: 36 g/day – i.e. 18 g/application):
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛=
18000 𝑚𝑔 × 0.25 × 1
17500 𝑐𝑚2≅ 𝟎. 𝟐𝟓𝟕
𝒎𝒈
𝒄𝒎𝟐
Dermal load (2: 72 g/day – i.e. 36 g/application):
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛=
36000 𝑚𝑔 × 0.25 × 1
17500 𝑐𝑚2≅ 𝟎. 𝟓𝟏𝟒
𝒎𝒈
𝒄𝒎𝟐
External dermal dose (1):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
9000 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 60 𝑘𝑔= 𝟏𝟓𝟎 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose (2):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
18000 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 60 𝑘𝑔= 𝟑𝟎𝟎 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
Children (4.5 years):
Dermal load (same applied amount/cm2 per application as for adults applied 36 g/day):
𝐿𝑑𝑒𝑟 = 𝟎. 𝟐𝟓𝟕𝒎𝒈
𝒄𝒎𝟐corresponding to a daily amount of 2
× 1820 𝑚𝑔 for a child with body surface area of 7090 𝑐𝑚2
Dermal load (same applied amount/cm2 per application as for adults applied 72 g/day):
𝐿𝑑𝑒𝑟 = 𝟎. 𝟓𝟏𝟒𝒎𝒈
𝒄𝒎𝟐 corresponding to a daily amount of 2
× 3640 𝑚𝑔 for a child with body surface area of 7090 𝑐𝑚2
External dermal dose (same as adults applied 36 g/day):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
3640 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 16.3 𝑘𝑔= 𝟐𝟐𝟑. 𝟑 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose (same as adults applied 72 g/day):
354
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
7280 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 16.3 𝑘𝑔= 𝟒𝟒𝟔. 𝟔 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
ORAL
Adults
Application on lips (taken from scenario 8):
Adults, 2 applications: 14.3 mg TiO2/day / 60 kg = 0.24 mg TiO2/kg/day
Adults, 6 applications: 42.8 mg TiO2/day / 16.3 kg = 0.72 mg TiO2/kg/day
Children (4.5 years):
Application on lips (taken from scenario 8):
Child, 2 applications: 14.3 mg TiO2/day / 16.3 kg = 0.88 mg TiO2/kg/day
Child, 6 applications: 42.8 mg TiO2/day / 16.3 kg = 2.6 mg TiO2/kg/day
Licking on fingers:
NB! IT has not been possible to find a value for the area of children fingers.
Thus the fraction Afingers/Abody is calculated based on adult numbers:
Afingers: 230 cm2 ; Abody: 17,500 cm2
Thus for exposure in the south the oral intake from licking fingers can be calculated to:
𝐼𝑛𝑡𝑜𝑟𝑎𝑙 = 0.5𝑥𝐴𝑓𝑖𝑛𝑔𝑒𝑟𝑠
𝐴𝑏𝑜𝑑𝑦𝑥
𝑛×𝑄𝑝𝑟𝑜𝑑×𝐶𝑛𝑎𝑛𝑜
𝐵𝑊= 0.5𝑥
230 𝑐𝑚2
17500𝑐𝑚2𝑥
7280 𝑚𝑔 𝑇𝑖𝑂2∗/𝑑𝑎𝑦
16.3 𝑘𝑔 = 2.9 mg TiO2/ kg bw/day
Thus, a total daily oral intake of up to 2.6 + 2.9 = 5.5 mg TiO2/ kg bw/day
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
A concentration of 25 % is the maximum allowed concentration of nano-TiO2. Danish surveys have
indicated that this is a worst case scenario.
As a worst case it is assumed that 100% of the TiO2 in the sunscreen will reach the skin.
The estimated daily amounts of 36 g and 72 g (south) are considered reasonable worst case.
The oral exposure for children (including the hand-to-mouth behaviour) is considered worst case,
in particular the 50% intake assumption.
Exposure parameters
Are taken from SCCS(2012a) and SCCS (2013a) and are considered reasonable worst case.
355
Step 6 (for use in WP5)
Consumers may also be exposed from TiO2 from other sources of cosmetics, from textiles where
TiO2 is added as UV-filter, and from paints, inks and coatings.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References: European Commission (2006). COMMISSION RECOMMENDATION of 22 September 2006 on the efficacy of sunscreen products and the claims made relating thereto. 2006/647/EC. OJ L 265/39 Scientific Committee on Consumer Safety (SCCS). 2013a. Opinion on Titanium Dioxide (nano-form), 22 July 2013.
Scientific Committee on Consumer Safety (SCCS). 2012a. The SCCS's Notes of Guidance for testing
the Substances and their Safety Evaluation, 8th Revision, 11 December 2012.
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Danish EPA (2014): Personal communication.
356
Scenario 6 - Product: Sun screen containing nano-ZnO (pump 8.6
spray)
Description of exposure scenario: Dermal application of sun screen
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Background
The Scientific Committee for Consumer Safety (SCCS) has evaluated nano-ZnO as uv-filter in sunscreens. The industry submissions behind the opinion had submitted some data on droplets sizes using various fillers incl. TiO2 and ZnO. the data indicated on a weight based that droplets were generally rather large. However, the SCCS noted some uncertainties in the data (it was not always clear whether ZnO had been used and that results are very dependent on experimental parameters), and in any case concluded that complementary measurements of the size distribution of the dried residual aerosol particles are needed. The industry submission noted that they were curently not aware of such sunscreen spray products (propellant spray) on the EU marked. The SCCS opinion states that the opinion is not applicable for spray applications. However, it is not explicitly stated whether this statement related only to propellant sprays (discussed to some extend in the option) or also to pump sprays (not mentioned in the option). Although not stated explicitly, it is however assumed that the opinion should neither be applied to pump sprays. In any case, it is known from the current study (and visible in any shops selling sun screens) that pump spray sunscreens are avalilable on the marked. Thus, this scenario addresses pump sprays. It is assumed that the nano-ZnO forming part of pump sprays possess characteristics similar to the nano-ZnO in lotions addressed in the SCCS opinion.
Parameter Specifie
d data*
Estimat
ed*
Comments/ References
Product
category
Cosmetic
Type of
Product
Sun
Screen
(pump
spray)
ID of
nanomaterial
Nano-
ZnO
NB! Even-though the Scientific Committee for Consumer Safety
(SCCS) has not evaluated and does not recommend spraying, it
is in this scenario assumed that the characteristics of the nano-
ZnO applied in pump-spray sun screens is similar to the nano-
ZnO in lotions.
SCCS (2013b). ADDENDUM to the OPINION SCCS/1489/12 on
Zinc oxide (nano form). Adopted 23 July 2013
SCCS (2012b). OPINION ON Zinc oxide (nano form).
SCCS/1489/12. Adopted 18 September 2012.
Characterisati
on e.g. size
distr.
SCCS (2013b) based on data submitted by industry:
357
Size
Aspect
ratio/morphol
ogy
Volume
specific
surface area
Crystal form
Purity
Coating
Solubility
Purity
D50
(number)
above 30
nm; D1
(number)
above
20nm
rod-like,
star-like
and/or
isometric
shapes
Wurtzite
≥96%
Yes or no
< 50 mg/l
Impuritie
s <1%
(except
water and
CO₂ )
ZnO nanoparticles with a median diameter (D50: 50% of the
number below this diameter) of the particle number size
distribution above 30 nm, and the D1 (1% below this size)
above 20nm.
Physical appearance as clusters
Wurtzite crystalline structure
ZnO nanoparticles that are either uncoated or coated with
triethoxycaprylylsilane, dimethicone,
dimethoxydiphenylsilanetriethoxycaprylylsilane cross-
polymer, or octyltriethoxy silane. Other cosmetic ingredients
can be used as coatings as long as theyare demonstrated to the
SCCS to be safe and do not affect the particle properties
related to behaviour and/or effects, compared to the
nanomaterials covered in the current opinion.
ZnO nanoparticles that have a comparable solubility to that
reported in the dossier,i.e. below 50 mg/L (approximately the
maximum solubility of the ZnO nanomaterials for which data
are provided in the dossier).
With impurities consisting only of carbon dioxide and water,
whilst any other impurities are less than 1% in total.
Physical
matrix/form
of product
Liquid
Package
design,
volume
≤ 200 ml According to findings in survey conducted in this product
Application/u
se/ handling
Spraying
onto
hand/ski
358
n and
then
distribut
ed over
the body
Location of
nanomaterial
eg. free/
matrix-bound
Free/as
clusters
in liquid
matrix
Direct/
indirect
exposure
Direct,
intended,
leave-on
Indoor/
outdoor use
Mainly
outdoor
Can be applied indoor
Generation of
nanomaterial
during use
No
Specific target
group
(children,
teenagers etc.)
All
Forseeable
misuse
May be
used on
the lips
or
accidenta
lly
sprayed
into the
eyes
Site of
contact/
exposure
Whole
body
Primary
exposure
route(s)
Dermal
and
inhalation
(oral, eye)
Concentrati
on of
nanomateri
al in product
≤25%
SCCS (2012b)
Volume of
product
used,
exposed to
36 g/day
in DK
72 g/day
south of
DK
Based on Danish EPA (2014) recommendation:
- 2 times the amount suggested by SCCS (2012a) ( 36 g/day)
as a worst case scenario for Danish summer conditions and 4
times the amount for a summer in the south, i.e. 72 g/day)
Or
- In Denmark: 1 application per days of the amount suggested
in European Commission (2006): 36 gram/day
- South: 2 applications per day, i.e. 2x36 = 72 gram/day
Body area
exposed to
Total
body
area:
SCCS (2012a): adult
359
17500
cm2
Retention
rate on body
surface
Assumed
1
SCCS (2012a) (For body lotion and other leave-on products)
Migration/li
beration
rate of
nanomateri
al from
matrix
As worst
case it
must be
consider
ed
possible
for all
nano-
material
to reach
the skin
Ingested
amount
0.9
mg/kg
bw/day
For
children
an
addition
al hand-
to mouth
amount
See Scenario 5
Concentrati
on in air/
Volume of
product
released
into air
NA
Duration of
exposure
16
hours/d
up to
24/hours
/d
Frequency
of exposure
25
days/year
2/day
Nanex (WP4), 2010: Estimated number of days per year: 25
SCCS (2013a): 2 applications per day
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
360
References
Inhalation exposure
No data on ZnO sun screen pump spray exposure
during application have been identified and we have
not identified any model suitable of estimating pump
spray exposure.
Based on the literature reviewed in this project (see
Chapter 5), pump spraying generally produce larger
particles (according to SCCS (2013a) in general no
more than 1 wt % below 10µm) which readily settle
causing no/very low inhalation exposure.
Considering also that cosmetic formulation are
relatively highly viscous, it might be assumed that
pump spray exposure from such applications are even
lower than for formulations considered in the reviewed
literature. The data for propellant spray discussed in
SCCS (2012b) indicates that even propellant spraying
with cosmetic products might produce relatively large
droplets. On the other hand, possible addition of
surface active additives might influence the behaviour
of cosmetics formulation.
Overall, based on the currently available
knowledge, it is difficult to estimate the
inhalation exposure. Based on inhalation data
from other pump spray applications and
assuming that viscous formulation possibly
produce even less exposure, it is however
likely that exposure is minor/low. However, it
is recommended to proof such an assessment
by actual experiments.
Dermal exposure
It is assumed that the same amount as for sun screen
lotion is applied. As the nanomaterials concentration
is the same (25%), values calculated in scenario 5 is
also used in this scenario.
Scenario 5
Oral exposure
It is assumed that the same amount as for sun screen
lotion is applied. As the nanomaterials concentration
is the same (25%), values calculated in scenario 5 is
also used in this scenario.
Scenario 5
Eye exposure
Expected to be negligible compared to the full body
exposure
Accidental eye exposure possible as a result of misuse
361
Step 3 and Step 4
INHALATION
Based on the currently available knowledge, it is difficult to estimate the inhalation exposure. Based
on inhalation data from other pump spray applications and assuming that viscous formulation
possibly produce even less exposure, it is however likely that exposure is minor/low. However, it is
recommended to proof such an assessment by actual experiments.
¨
DERMAL (taken from scenario 5 by changing TiO2 with ZnO)
Adult:
Dermal load (1: 36 g/day – i.e. 18 g/application):
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛=
18000 𝑚𝑔 × 0.25 × 1
17500 𝑐𝑚2≅ 𝟎. 𝟐𝟓𝟕
𝒎𝒈
𝒄𝒎𝟐
Dermal load (2: 72 g/day – i.e. 36 g/application):
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛=
36000 𝑚𝑔 × 0.25 × 1
17500 𝑐𝑚2≅ 𝟎. 𝟓𝟏𝟒
𝒎𝒈
𝒄𝒎𝟐
External dermal dose (1):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
9000 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 60 𝑘𝑔= 𝟏𝟓𝟎 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose (2):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
18000 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 60 𝑘𝑔= 𝟑𝟎𝟎 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
Children (4.5 years):
Dermal load (same applied amount/cm2 per application as for adults applied 36 g/day):
𝐿𝑑𝑒𝑟 = 𝟎. 𝟐𝟓𝟕𝒎𝒈
𝒄𝒎𝟐corresponding to a daily amount of 2
× 1820 𝑚𝑔 for a child with body surface area of 7090 𝑐𝑚2
Dermal load (same applied amount/cm2 per application as for adults applied 72 g/day):
𝐿𝑑𝑒𝑟 = 𝟎. 𝟓𝟏𝟒𝒎𝒈
𝒄𝒎𝟐 corresponding to a daily amount of 2
× 3640 𝑚𝑔 for a child with body surface area of 7090 𝑐𝑚2
External dermal dose (same as adults applied 36 g/day):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
3640 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 16.3 𝑘𝑔= 𝟐𝟐𝟑. 𝟑 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose (same as adults applied 72 g/day):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
7280 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 16.3 𝑘𝑔= 𝟒𝟒𝟔. 𝟔 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
ORAL (taken from scenario 5 by changing TiO2 with ZnO)
362
Adults
Application on lips (taken from scenario 8):
Adults, 2 applications: 14.3 mg ZnO/ 60 kg = 0.24 mg ZnO/kg/day
Adults, 6 applications: 42.8 mg ZnO /day / 16.3 kg = 0.72 mg ZnO /kg/day
Children (4.5 years):
Application on lips (taken from scenario 8):
Child, 2 applications: 14.3 mg ZnO /day / 16.3 kg = 0.88 mg ZnO /kg/day
Child, 6 applications: 42.8 mg ZnO /day / 16.3 kg = 2.6 mg ZnO /kg/day
Licking on fingers:
NB! IT has not been possible to find a value for the area of children fingers.
Thus the fraction Afingers/Abody is calculated based on adult numbers:
Afingers: 230 cm2 ; Abody: 17,500 cm2
Thus for exposure in the south the oral intake from licking fingers can be calculated to:
𝐼𝑛𝑡𝑜𝑟𝑎𝑙 = 0.5𝑥𝐴𝑓𝑖𝑛𝑔𝑒𝑟𝑠
𝐴𝑏𝑜𝑑𝑦𝑥
𝑛×𝑄𝑝𝑟𝑜𝑑×𝐶𝑛𝑎𝑛𝑜
𝐵𝑊= 0.5𝑥
230 𝑐𝑚2
17500𝑐𝑚2𝑥
7280 𝑚𝑔 𝑍𝑛𝑂/𝑑𝑎𝑦
16.3 𝑘𝑔 = 2.9 mg ZnO/ kg bw/day
Thus, a total daily oral intake of up to 2.6 + 2.9 = 5.5 mg ZnO/ kg bw/day
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
Inhalation:
As described in step 2, it has not been possible to quantitavely estimate inhalation exposure due to
lack of data and models. However, based on available evidence inhalation exposure is carefully
estimated to be low/minor, but it is recommended to follow this up with experimental proofs.
Dermal:
See scenario 5.
Oral:
See scenario 5.
Step 6 (for use in WP5)
Inhalation:
Uncertainty related to inhalation exposure (see above).
Current scenario applies to pump sprays, not to propellant sprays. Industry submission to SCCS
indicated that propellant spray applications are no known to them.
363
Dermal:
See scenario 5.
Oral:
See scenario 5.
References:
European Commission (2006). COMMISSION RECOMMENDATION of 22 September 2006 on the efficacy of sunscreen products and the claims made relating thereto. 2006/647/EC. OJ L 265/39 SCCS (2013a). Scientific Committee on Consumer Safety. Opinion on Titanium dioxide (nano form). SCCS/1516/13. 111 pp. SCCS (2013b). ADDENDUM to the OPINION SCCS/1489/12 on
Zinc oxide (nano form). Adopted 23 July 2013
SCCS (2012b). OPINION ON Zinc oxide (nano form). SCCS/1489/12. Adopted 18
September 2012.
Danish EPA (2014): Personal communication.
364
Scenario 7 - Product: Mascara with Carbon Black 8.7
Description of exposure scenario:
Application of mascara in the eye region
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified
data*
Estimate
d*
Comments/ References
Product category Cosmetics
Type of Product Mascara
ID of nanomaterial Carbon Black
Characterisation
e.g. size distr.
Primary particle size
distribution by
number
Aggregations/agglo
meration
Purity
Powder:
D50: 59 – 76
nm
Commercial
dispersion:
D50: 77 and
146 nm
See footnote4
> 97% Carbon
Four sample measurements with Transmission Electron
Microscopy (TEM) (SCCS, 2014)
D10: 41-48 nm, D90: 132-149 nm
Two samples measured with various methods (SCCS, 2014)
D10: 50 and 127 nm, D90: 143 and 259 nm
SCCS (2014)
SCCS (2014)
Physical
matrix/form of
product
Paste In line with how mascara is normally marketed
Package design,
volume
10 ml A similar product is supplied in 8 ml packaging (
http://www.lashfood.com/r/productsp.php?p=41#.U759S6
PU9aQ
Application/use/
handling
Leave-on
product for eye
lashes with
little skin
contact
Danish EPA (2014)
Location of
nanomaterial eg.
free/ matrix-bound
In a liquid
paste
matrix
Direct/ indirect Direct intended
4 SCCS (2014): "The SCCS has accepted that nanoparticles in carbon black materials exist mainly
as
aggregates and agglomerates. A few tests in the presence of emulsifiers have not shown complete dispersion of the agglomerates. However, further tests would be needed to
eliminate the possibility of deagglomeration to primary particles or nano-sized aggregates
under other conditions, e.g. in final formulations or when in the biological environment."
365
exposure leave on
Indoor/ outdoor use Both
Generation of
nanomaterial
during use
No, but
possibly
deagglomeratio
n
See footnote4
Specific target
group (children,
teenagers etc.)
Teenagers
and adults
Even in
rare cases
children
This may more frequently be the case for e.g. eye liners,
which also may contain Carbon Black
Forseeable misuse See
previous
line
Site of contact/
exposure
Eye lashes, Incidentall
y eye and
skin in the
eye region
Primary exposure
route(s)
Eye lashes,
Dermal, Eye
Concentration of
nanomaterial in
product
<3%
Up to 10% for
eye decorative
products
10% will be
assumed as a
worst case
Danish EPA (2014)
SCCS (2014)
Volume of
product used,
exposed to
0.025 grams
per day (= 25
mg/day)
I.e. 12.5
gram/applicati
on
SCCS (2012)
Body area
exposed to
1.6 cm2 SCCS (2012)
Retention rate on
body surface
1
Migration/liberat
ion rate of
nanomaterial
from matrix
1
Ingested amount NA
Concentration in
air/
Volume of
product released
into air
NA
Duration of Whole day
366
exposure 16
hours/day
up to 24
hours/day
as a worst
case
Frequency of
exposure
2 applications
per days
SCCS (2012)
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for
estimation of the exposure (algorithms for various purposes and at various tiers are
described in chapter 4, section 4.2):
Exposure route Algorithms used Comments/
References
Inhalation exposure
Considered negligible given amount used and
formulation (liquid paste)
Dermal exposure The dermal load is calculated as:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛
The external dermal dose is calculated as:
𝐷𝑑𝑒𝑟 =𝑛 × 𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐵𝑊
Qprod: Amount per application (mg)
Cnano: Fraction of nano TiO2 in product (0.25)
Askin: Surface of exposed skin (cm2)
BW: Body weight (kg)
RR: Retention rate
n: Number of applications per day (/day)
Oral exposure
NA
Eye exposure As a worst case it is assumed that eye exposure could be
20% of the applied amount: 0.2 * Daily amount
(mg/day) * Cnano (fraction)
367
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Children/ teenagers/ adults
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight Children: 18.6
kg
Teenagers:
56.8 kg
Adult: 60 kg
Mean for 3-6 years old
children
Mean for 11-16 years
Recommended for adult
women
Source: Nordic council of
Ministers (2011)
Skin surface (site of contact) 1.6 cm2 SCCS (2012)
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
NA
Dermal exposure No additional parameters
Oral NA
Eye No additional parameters
Step 4
This section describes and explains the calculation of the exposure.
Dermal load:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛=
12.5 𝑚𝑔 𝑝𝑟𝑜𝑑𝑢𝑐𝑡 × 0.1 𝑚𝑔𝐶𝐵𝑚𝑔
𝑝𝑟𝑜𝑑𝑢𝑐𝑡 × 1
1.6 𝑐𝑚2= 𝟎. 𝟖 𝒎𝒈/𝒄𝒎𝟐
Dermal dose:
368
Children:
𝐷𝑑𝑒𝑟 =𝑛 × 𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐵𝑊=
2/𝑑𝑎𝑦 × 12.5 𝑚𝑔 × 0.1 × 1
18.6 𝑘𝑔= 𝟎. 𝟏𝟑𝐦𝐠 𝐂𝐁 /𝐤𝐠 𝐛𝐰/𝐝𝐚𝐲
Teenagers:
𝐷𝑑𝑒𝑟 =𝑛 × 𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐵𝑊=
2/𝑑𝑎𝑦 × 12.5 𝑚𝑔 × 0.1 × 1
56.8 𝑘𝑔= 𝟎. 𝟎𝟒𝟒 𝐦𝐠 𝐂𝐁 /𝐤𝐠 𝐛𝐰/𝐝𝐚𝐲
Adults:
𝐷𝑑𝑒𝑟 =𝑛 × 𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐵𝑊=
2/𝑑𝑎𝑦 × 12.5 𝑚𝑔 × 0.1 × 1
60 𝑘𝑔= 𝟎. 𝟎𝟒𝟐 𝐦𝐠 𝐂𝐁 /𝐤𝐠 𝐛𝐰/𝐝𝐚𝐲
Eye exposure:
As a worst case estimate, 20% of the daily applied amount of 25 mg mascara (2.5 mg Carbon Black)
might end up in the eye: 0.2 * 2.5 mg Carbon Black/day = 0.5 mg Carbon Black / day
This amount is assumed to be applied twice daily, i.e. 0.25 mg Carbon Black per event
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
As noted by SCCS (2012) there is some uncertainty on to which extent the consumer is solely
exposed to agglomerates/aggregates or also to primary particles. This is of importance with respect
to the potential ability of nanoparticles to penetrate skin.
Worst case assumptions has been used in relation to body weight and concentration of Carbon
Black in product (upper limit of 10% CB in cosmetics used – 3% might be more representative).
It is as a worst case assumed that 100% of the Carbon Black is released form the paste matrix.
Skin area exposed, amount of mascara used per day and number of daily applications are taken
from SCCS (2012) and can be considered reasonable worst case.
Overall, the estimated exposures can be considered worst case for mascara.
Exposure estimates can be further refined if needed during the risk assessment.
Step 6 (for use in WP5)
Consumers can also be exposed to Carbon Black from other sources of cosmetics, such as eyeliners,
eye pencils, eye shadows, blushers, brush-on-brow, foundations and nail enamels, as well as in
rinse-off skin products (SCCS, 2012). Thus, overall it can be assumed that dermal and eye Carbon
Black exposure could be considerably higher than what is estimated for mascara.
Actual risk from such combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP3 on hazard assessment.
References:
Scientific Committee on Consumer Safety (SCCS). 2012. The SCCS's Notes of Guidance for testing
the Substances and their Safety Evaluation, 8th Revision, 11 December 2012. Scientific Committee on Consumer Safety (SCCS). 2014. OPINION ON Carbon Black (nano-form). SCCS/1515/13. Adopted 12 December 2013. Published 27 March 2014. Danish EPA (2014). Supplementary Survey of Products on the Danish Market Containing Nanomaterials. Environmental Project No. 1581. Danish Environemntal Proctection Agency, Copenhagen.
369
Scenario 8 - Product: Lipstick sun screen containing nano-TiO2 8.8
Description of exposure scenario: Dermal application of sun screen
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specifie
d data*
Estimat
ed*
Comments/ References
Product
category
Cosmetic
Type of
Product
Lipstick
Sun
Screen
ID of
nanomaterial
Nano-
TiO2
SCCS (2013a). OPINION ON Titanium Dioxide (nano form).
http://ec.europa.eu/health/scientific_committees/consumer_s
afety/docs/sccs_o_136.pdf
Characterisati
on e.g. size
distr.
Size
Particles
Aspect ratio
Volume
specific
surface area
Crystal form
Purity
Coating
Crystals:
9-21 nm
(XRD)
1.5 and up
to 4.5
192-460
m2/cm3
Rutile
with max.
15 %
anatase
≥99.5%
Yes
SCCS (2013a)
SCCS (2013a): The median particle sizes of the different
materials range from ~44 nm to 354 nm on volume weighted
basis, and ~34 nm to ~99 nm on number weighted basis. The
lower size cut offs range between 17 nm and 73 nm.
SCCS (2013a)
SCCS (2013a)
SCCS (2013a)
SCCS (2013a)
See table 1 in SCCS (2013a). Includes the following types of
coatings: alumina/silica, methicone/silica, aluminium
hydroxide and dimethicone/methicone copolymer,
trimethyloctylsilane, alumina/silicone and
alumina/silica/silicone, dimethicone, simethicone, stearic acid,
glycerol, dimethoxydiphenylsilane, triethoxycaprylylsilane
Physical
matrix/form
of product
Paste,
salve
Package ≤ 20 ml According to information found on the internet
370
design,
volume
Application/u
se/ handling
Leave-on
product
Location of
nanomaterial
eg. free/
matrix-bound
In a paste
matrix or
salve/oint
ment
Direct/
indirect
exposure
Direct,
intended,
leave-on
Indoor/
outdoor use
Indoor /
outdoor
Generation of
nanomaterial
during use
No, but
possible
de-agglo-
meration
SCCS (2013a)
Specific target
group
(children,
teenagers etc.)
All
Forseeable
misuse
NA May be
used for
other
dermal
areas
Site of
contact/
exposure
Lips
Primary
exposure
route(s)
Dermal
(oral)
Concentrati
on of
nanomateri
al in product
≤25%
containin
g max.
15%
anatase
SCCS (2013a)
Volume of
product
used,
exposed to
0.057
g/day
0.9
mg/kg
bw/day
SCCS (2012a)
Body area
exposed to
Lips: 4.8
cm2
SCCS (2012a)
Retention
rate on body
surface
Assumed
1
SCCS (2012a) (For body lotion and other leave-on products)
Migration/li
beration
rate of
As worst
case it
must be
371
nanomateri
al from
matrix
consider
ed
possible
for all
nano-
material
to reach
the lips
Ingested
amount
100% Worst case ingestion: 100%
Concentrati
on in air/
Volume of
product
released
into air
NA
Duration of
exposure
16
hours/d
up to
24/hours
/d
Frequency
of exposure
2/day
2-6/day
SCCS (2012a)
Nordic Council of Ministers (2011)
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
Not considered relevant in relation to sunscreen lotion
applied manually.
Dermal exposure
The dermal load is calculated as:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛
The external dermal dose is calculated as:
𝐷𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑛 × 𝑅𝑅
𝐵𝑊
372
Daily amount: Qprod (Amount per application) * n
(number of applications)
Qprod: Amount per application (mg)
Cnano: Fraction of nano TiO2 in product (0.25)
Askin: Surface of exposed skin (cm2)
BW: Body weight (kg)
RR: Retention rate
n: Number of applications per day (/day)
Oral exposure
Fing * Cnano * Qprod
Fing: Fraction ingested (assumed 1 (=100%) as worst
case)
Cnano: Fraction of nano TiO2 in product (0.25)
Qprod: Amount per application (mg)
n: number of applications/day
Amount per day: n*Qprod = 57 mg/day (based on n=2)
SCCS(2012a)
Eye exposure
NA
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults/ children
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 60 kg (adult)
16.3 kg (child)
SCCS 2012a
Skin surface (site of contact) 4.8 cm2 (adult)
4.8 cm2 (child,
worst case)
SCCS 2012a
373
Dose which may be ingested =0.057 g/day
0.9 mg/kg
bw/day
SCCS (2012a)
(Based on two
applications and assuming
the total applied dose is
ingested. In that case,
there will be no dermal
dose)
Specific behaviour (duration for
e.g. mouthing of children)
NA
Others
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
NA
Dermal exposure No additional parameters
Oral No additional parameters
Eye NA
Step 4
The exposure will be a combination between dermal and oral exposure. It is suggested that the risk
assessment addresses two scenarios: 100% dermal exposure and 100% oral exposure and selects the
worst case.
This section describes and explains the calculation of exposure:
Dermal:
Dermal load:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛=
28.5 𝑚𝑔 × 0.25 × 1
4.8 𝑐𝑚2≅ 𝟏. 𝟒𝟖
𝒎𝒈
𝒄𝒎𝟐
External dermal dose, 2 applications (adult):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
57 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 60 𝑘𝑔= 𝟎. 𝟗 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose, 2 applications (child):
𝐷𝑑𝑒𝑟 =𝐷𝑎𝑖𝑙𝑦 𝑎𝑚𝑜𝑢𝑛𝑡 𝑇𝑖𝑂
𝐵𝑊=
57 𝑚𝑔 𝑇𝑖𝑂2
𝑑𝑎𝑦 × 16.3 𝑘𝑔= 𝟑. 𝟓 𝒎𝒈
𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose, 6 applications (adult): 𝟐. 𝟕 𝒎𝒈𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
External dermal dose, 6 applications (child): 𝟏𝟎. 𝟓 𝒎𝒈𝑻𝒊𝑶𝟐
𝒌𝒈/𝒅𝒂𝒚
Oral:
374
The oral dose is the total applied daily dose suggested by SCCS (2012): 57 mg product/day equalling
14.3 mg TiO2/day based on two applications. If six applications are used the value is 42.8
mg TiO2/day. As no value for the surface area of lips are provided for children, the same daily dose
is used for children as a worst case.
This corresponds to:
Adults, 2 applications: 14.3 mg TiO2/day / 60 kg = 0.24 mg TiO2/kg/day
Adults, 6 applications: 42.8 mg TiO2/day / 16.3 kg = 0.72 mg TiO2/kg/day
Child, 2 applications: 14.3 mg TiO2/day / 16.3 kg = 0.88 mg TiO2/kg/day
Child, 6 applications: 42.8 mg TiO2/day / 16.3 kg = 2.6 mg TiO2/kg/day
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
A concentration of 25 % is the maximum recommended concentration of nano-TiO2 by SCCS (based
on industry submissions). Danish surveys have indicated that this is a worst case scenario in the
case of lotions as concentrations are generally lower. No specific information has been identified for
sun screen lipstick.
It as a worst case assumed that 100% of the TiO2 in the sunscreen will reach the skin or be ingested.
The estimated daily amount of 0.057 g is the value provided by SCCS (2012a) for lipstick/lip salve
based on two applications. However, in the Nordic Council of Ministers (2011), 2 -6 applications are
suggested for lipstick. Thus 6 applications is considered worst case.
Exposure parameters besides numbers of applications are taken from SCCS (2012a) and SCCS
(2013a) and are considered realistic worst case.
Step 6 (for use in WP5)
Consumers may also be exposed to TiO2 from other sources of cosmetics, from textiles where TiO2 is
added as UV-filter, and from paints, inks and coatings.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References: Scientific Committee on Consumer Safety (SCCS). 2013a. Opinion on Titanium Dioxide (nano-form), 22 July 2013.
Scientific Committee on Consumer Safety (SCCS). 2012a. The SCCS's Notes of Guidance for testing
the Substances and their Safety Evaluation, 8th Revision, 11 December 2012.
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
375
Scenario 9 - Product: Face powder containing nano-silica 8.9
Description of exposure scenario:
Brush application of face powder
Step 1
From the data collected and the conclusions in chapter 4, information regarding the parameters
listed below is filled in.
Parameter Specified
data*
Estimated* Comments/ References
Product
category
cosmetics
Type of Product Face powder
make-up
e.g.: http://eshiko.com/
ID of
nanomaterial
Silica
Characterisation
e.g. size distr.
10 nm
hydrated
silica particles
amorphous 10 nm indicated on specific products. http://eshiko.com/
Various types of nano-silica may be used in cosmetics.
According to notifications to the Commission: silica;
hydrated silica; silica sylilate and silica dimethyl silylate
are used in cosmetics.(The Commission has asked the SCCS
to prepare an opinion on the use of these four nano
substances).
http://ec.europa.eu/health/scientific_committees/consume
r_safety/docs/sccs_q_086.pdf
Physical
matrix/form of
product
Powder
Package design,
volume
Few grams 10 g
Application/use/
handling
By brush
Location of
nanomaterial
eg. free/ matrix-
bound
Mixed into
the powder
Direct/ indirect
exposure
Direct dermal
application
Indoor/ outdoor
use
Indoor
Generation of
nanomaterial
during use
No
Specific target
group (children,
teenagers etc.)
adult/
teenagers
Forseeable
misuse
-
Site of contact/ Skin surface,
376
exposure face
Primary
exposure
route(s)
Dermal Inhalation Oral and eye exposure may be relevant as well.
Concentration
of
nanomaterial
in product
1-10%
Volume of
product used,
exposed to (1)
0.51 g SCCS (2012) estimate for liquid foundation used for powder
make-up as well
Body area
exposed to (1)
Face 565 cm2 SCCS (2012). ½ the area of female head
Retention rate
on body
surface (1)
1 Leave-on product
Migration/libe
ration rate of
nanomaterial
from matrix
100% Nanomaterial not fixed to a matrix
Ingested
amount
- -
Concentration
in air/
Volume of
product
released into
air
Have to be measured/ calculated
Duration of
exposure
Inhalation: 15
minutes
Dermal: hours
Frequency of
exposure
Once daily
through the year
SCCS (2012)
* Use “ - “ if not given or not relevant
(1) For cosmetics values can be found in section 4-2 in SCCS (2012) Notes of guidance for
the testing of cosmetic substances and their safety evaluation 8th revision 2012.
http://ec.europa.eu/health/scientific_committees/consumer_safety/docs/sccs_s_00
6.pdf
In chapter 5.3.2 the following characterization of the inhalation exposure from use of face powder
has been given:
Nazarenko et al. (2012) looked at the potential for nanoparticle inhalational exposure from use of
six cosmetic make-up powders, three of which were considered to contain nanomaterials (products
from the Woodrow Wilson database). Two of the nano-products and two of the regular products
had a content of silica. Exposure was simulated by applying the cosmetic powder preparation by
brush or pads to a female mannequin head and sampling air from the nostrils of the head at a
"breathing rate" of 11 liter air per minute. Using TEM microscopy, the exposure was predominantly
characterized (not quantified by mass) by agglomerates with sizes above 100 nm. Greater fractions
of primary particles in nano-size were observed in two of the nano-products as compared to the
377
three conventional products. During application of the make-up powder the particle concentrations
reached up to about 10,000 particles/cm3 for the 20 nm-size mode (reading from the size-
distribution plot) for both the conventional products and the products claimed to be nano-products
(the highest level was measured for a conventional product). Measurements were performed using
a scanning mobility particle sizer instrument. For one of the conventional products particle levels
up to 10,000 particles/cm3 were measured for particle sizes in the size range of 300-700 nm.
It was by Nazarenko et al. (2012) concluded that the release of particles > 100 nm (up to 20 μm in
diameter) indicates potential exposure to nanoparticle agglomerates, especially from products with
a high proportion of primary particles in the nano-size range. Exposure to nanomaterial(s) due to
the use of cosmetic powders will be predominantly in the form of agglomerates or nanomaterials
attached to larger particles in the micrometer range that would deposit in the upper airways of the
human respiratory system rather than in the alveolar and tracheobronchial regions of the lung, as
would be expected for the primary nanoparticles.
Form this it can be seen that use of nano-enabled face powder does not necessarily lead to higher
levels of free nano-particles in the air compared to conventional products. However, in our
exposure assessment also exposure to agglomerated particles are to be considered and therefor
exposure to nanoparticles cannot be based on measurements of free nanoparticles alone. Although
size distribution plots were given no estimations of the total number concentration of nanoparticles
in size modes below 100 nm were given by Nazarenko et al. (2012).
Step 2 Algorithms
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation
exposure
Concentration air:
Cinh (mg/m3) = (PI x A x F x DF / V) x 1000 mg/g
PI: concentration of nano-ingredient in product (g/g)
A : amount of product used per event
F: fraction of product released into air
DF: dilution factor
V: Volume of air near the head/inhalation zone)
Inhalation Dose
Dinh = Fresp ∗ Cinh ∗ IHair ∗ Tcontact
BW∗ N
Parameter Description Units
Dinh Inhalation dose (intake) of
substance per day
[mg/kg bw d]
378
and body weight
Cinh Concentration of substance in air of
room
[mg/m3]
Fresp Respirable fraction of inhaled substance (default 1)
[-]
IHair Ventilation rate of person
[m³/d]
Tcontact Duration of contact per event
[d]
BW Body weight [kg]
N Mean number of events per day
[/d]
Dermal exposure
Dermal load:
The dermal load Lder in mg/cm2 is calculated as:
Dermal dose:
The external dermal dose, Dder in mg/kg /d) is then
calculated as
Dder (mg/g bw/d) = (Qprod/ d x FCprod / Bw) x
1000 mg/g
Where:
Qprod/ d : the amount of procut used per day (g/d)
FCprod: Fraction of nanomaterial in product
Askin: exposed skin surface (cm2)
Bw: body weight (kg)
Oral exposure
Oral exposure is to some part covered by calculation of the
inhaled dose as one fraction of this dose enter the deeper
part of the lung and is available for pulmonary absorption
and another part of the dose may be swallowed and be
available for gastrointestinal absorption.
A very small fraction of the applied face-powder may end-
up on the lips but more importantly oral exposure may
derive from licking the area surrounding the lips.
Eye exposure
No algorithm for deposition of airborne particles in the
eye has been found
Step 3 Target group
379
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: teenager
Teenagers are according to Lorenz et al. (2011) the consumer group using the
cosmetic products most heavily.
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 56.8 kg Nordic Council of
Ministers, 2011
Inhalation rate 0.013 m3/min Nordic Council of
Ministers, 2011
Skin surface (site of contact) 565cm2 SCCS (2012)
Lips 4.8 cm2 SCCS (2112)
Eye surface 2 x 4 cm2 assumed
Specific behaviour (duration for
e.g. mouthing of children)
-
Others
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Room volume
Air exchange rate (room ventilation)
Distance from breathing zone
Particle size distribution
Dustiness
Etc.
Dermal exposure Film thickness on skin
Viscosity
Etc
Oral
Eye
380
Step 4 Exposure estimation
Teenager
Dermal load:
Lder (mg/cm2) = 0.51 g x 0.1 x 1000 (mg/g)/ 565 cm2 = 0.09 mg/cm2
Dermal exposure:
Dder (mg/g bw/d) = (Qprod/ d x FCprod / BW) x 1000 mg/g
Dder (mg/bw/d) = (0.51 g/d x 0.1 /56.8 kg) x 1000 mg/g = 0.90 mg/kg bw/d
Inhalation exposure:
Cinh (mg/m3) = (PI x A x F x DF / V) x 1000 mg/g
In this calculation it is assumed that a fraction of 1%* of the use face powder is released into the air
as respirable particles and it is a worst case considered that 10% is inhaled. I.e. a total of 1% of the
volume used is inhaled. With respect to the concentration it is assumed that the amount that is
inhaled is evenly distributed in volume of inhaled air during the application period:
Cinh (mg/m3) = (0.1 g/g x 0.51 g x 0.01 x 0.1 / (0.013 m3/min x 15 min) x 1000 mg/g = 0.26
mg/m3
This value should be considered as a 15 minutes peak value, as no inhalation exposure after the
application phase is considered to occur.
* Levin et al. (2014) made measurement of the dustiness of four different pharmaceutical nano-
powders. Using a rotation drum for dustiness measurements they found a dustiness index of 10000
mg/kg (1%) as the highest value for the powders. To use such a value for face powder is considered
as a conservative estimate as lower dusting index for face powders would be expected, as face
powders are designed to strongly adhere to surfaces.
Further, the Dinh - (mg/g bw/d) can be calculated as:
Dinh (mg/g bw/d) = PI x A x F x D/ BW x 1000 mg/g
Dinh (mg/g bw/d) = (0.1 g/g x 0.51 g x 0.01 x 0.1) / 56.8 kg x 1000 mg/g = 0.0009 mg/kg w/d
Particle number exposure
Nazarenko et al. (2012) measured a particle concentration of about 10,000 partilcles/cm3 for
particles with a diameter of 20 nm from a face-powder claimed as a nano-product, however, they
did not indicate an overall exposure level for 1-100 nm particles.
With a ventilation rate of 0.013 m3/min and a duration for 15 minutes this would lead to an
exposure of:
Dinh (#/d) = 10,000 particles/cm3 x 0.013 m3/ min x 15 min/d x 106 cm3/m3 = 2 x 109 particles
/d
or
Dinh (#/kg bw/d) = 2 x 109 particles /d / 56. 8 kg = 3.5 x 107 particles /kg bw/d
However, it has to be emphasized that for conventional face powders similar concentrations of 20
nm particle were measured. Further the particle numbers given are for 20 nm nanoparticles from
the whole products and its consituents and not only for nano-silica.
381
Eye exposure, teenager
No algorithm for eye exposure has been found. If it as a worst case is assumed that the surface load
of the eye is 1% of the surface load on the skin, then the eye surface load would be 0.0009 mg/cm2.
With an assumed surface of the eyes of 2 x 4 cm2, this would correspond to a daily dose of 0.0072
mg or 0.0001 mg/kg bw/d.
Oral exposure
As a worst case it is assumed that oral exposure may derive from licking around the lips from a
surface area corresponding to the area of the lips (4.8 cm2).
With a dermal load of 0.09 mg nano-silica/cm2 on this surrounding area this would lead to a daily
oral dose of:
Doral (total) = 4.8 cm2/d x 0.09 mg nano-silica/cm2 = 0.43 mg nano-silica/d
Doral (mg/kg bw/d) = = 0.43 mg nano-silica/d / 56.8 kg = 0.0077 mg nano-silica/kg bw/d
Step 5
Uncertainties of the described exposure scenario:
Face powder may contain hydrated silica in nano-size as indicated in this example. Information on
the concentration in the product has not been given, but a content of 10% of nano-silica in the
product is considered a conservative estimate.
Based on this the dermal load that has been calculated based on SCCS (2012) exposure figures
seems to be conservative due to the high content of 10% nano-silica.
The inhalation exposure is based of liberation of 1% of the used amount of face powder into the air
and to inhalation of 10% of this fraction. This lead to a concentration of 0.26 mg/m3 of
nanomaterial corresponding to a total dust level of 2.6 mg/m3 in the inhaled air. Such an estimate
does not seem quite unrealistic, however it is still considered as worst case scenario.
The oral dose is estimated to be nearly a factor 10 higher than the inhalation dose, thus licking of
the skin area surrounding the lips covered with face powder may result in a significant exposure.
Although great uncertainties pertain to the estimate for eye exposure the figure indicates far lower
exposure compared to the dermal, oral and inhalational route.
Step 6 (for use in WP5)
There is no regulatory limit for the use of silica in cosmetics so other cosmetics product may
contribute to exposure to nano-silica (e.g. oral exposure from toothpaste or dermal exposure from
body cream). Use of other product categories may further contribute e.g. oral exposure from food
containing silica as food additive (or in food supplement) and inhalational exposure for the use of
surface treatment sprays. However, the exposure may pertain to various types of nano-silica in
cosmetics and the Commission has recently asked the SCCS for an opinion on four types of nano-
silica that are currently used.
References
Eshiko face powder website: http://eshiko.com/
Lorenz C, Goetz NV, Scheringer M, Wormuth M, and Hungerbühler K. 2011. Potential exposure of
German consumers to engineered nanoparticles in cosmetics and personal care products.
Nanotoxicology 5(1), 12-29.
382
Nazarenko Y, Zhen H, Han T, Lioy PJ, and Mainelis G. 2012. Potential for Inhalation Exposure to
Engineered Nanoparticles from Nanotechnology-Based Cosmetic Powders. Environmental Health
Perspectives 120(6), 885-892.
SCCS 2012b. The SCCS´S notes to Guidance for the testing of Cosmetic substances and their safety
evaluation. Scientific Committee on consumer safety, SCCS/1501/12.
Commissions request on nano-silica (2014).
http://ec.europa.eu/health/scientific_committees/consumer_safety/docs/sccs_q_086.pdf
383
Scenario 10a - Product: Paint containing nano-TiO2 8.10
Description of exposure scenario: Roller application of paint
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specifie
d data*
Estimat
ed*
Comments/ References
Product
category
Surface
treatment
/ coatings
Type of
Product
Paint
ID of
nanomaterial
Nano-
TiO2
Characterisati
on, e.g. size
distr.
Size
Crystal form
5-30 nm
Anatase
Patent information:
http://www.google.com/patents/EP2188125A1?cl=en
Due to the photocatalytic properties, it is assumed that anatase
is the major constituent.
Physical
matrix/form
of product
Liquid
matrix
Package
design,
volume
≤ 5 L
Application/u
se/ handling
Roller
applicatio
n
Location of
nanomaterial
eg. free/
matrix-bound
In liquid
matrix
Direct/
indirect
exposure
Direct
exposure
Indoor/
outdoor use
Indoor
and
outdoor
Generation of
nanomaterial
during use
No
Specific target
group
(children,
teenagers etc.)
Mainly
adults
Forseeable
misuse
No
384
Site of
contact/
exposure
Hands /
arms
Primary
exposure
route(s)
Dermal
(oral, eye)
Concentrati
on of
nanomateri
al in product
≤25%
Photocatalytic paints generally contain 5-10 % (Danish EPA, in
prep).
Volume of
product
used,
exposed to
5L –
7500 g
Body area
exposed to
Hands
and arms
SCCS (2012): adult
Retention
rate on body
surface
Assumed
1
SCCS (2012) (For body lotion and other leave-on products)
Migration/li
beration
rate of
nanomateri
al from
matrix
As worst
case it
must be
consider
ed
possible
for all
nano-
material
to reach
the skin
Ingested
amount
NA
Concentrati
on in air/
Volume of
product
released
into air
NA
Duration of
exposure
5L
applied
per day
Frequency
of exposure
Full day
for
several
days
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
385
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
Not considered relevant
Dermal exposure
The dermal load is calculated as:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐹 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛
The external dermal dose is calculated as:
𝐷𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝐹 × 𝑛 × 𝑅𝑅
𝐵𝑊
Daily amount: Qprod (Amount per application) * n
(number of applications)
Qprod: Amount per application (mg)
F: Fraction which may come into contact with skin
Cnano: Fraction of nano TiO2 in product (0.25)
Askin: Surface of exposed skin (cm2)
BW: Body weight (kg)
RR: Retention rate (assumed 1)
Oral exposure
Not considered relevant
Eye exposure
Might happen during rolling, but no data to estimate
exposure.
386
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Young and adults
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 60 kg
(adult)
43.9 (13.5
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (site of
contact):
- arms and hands
(20% of body surface
– women
13.5 years)
50% of hands and
arms:
50%×20% of
19100 cm2
(woman)= 1910
cm2
50%×20% of
14000 cm2 (13.5
years)= 1400 cm2
Nordic Council of Ministers (2011)
(In ECHA (2012) it is estimated that the maximal
exposed area in relation to occupational roller painting is
960 cm2)
Density >1.0
1.5 g/cm3 (worst
case)
Example of photo-catalytic paint with density: 1.31
g/cm3:
http://www.auro.de/downloads/sicherheitsdatenblaetter
/328-SDB-Frischeweiss-AURO-Naturfarben.pdf
http://www.auro.de/downloads/technische-
merkblaetter/328-Technisches-Merkblatt-Frischeweiss-
AURO-Naturfarben.pdf
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Others
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/
References
Inhalation exposure NA
387
Dermal exposure
Amount which may
get in contact with
skin through splashes
or direct contact.
0.1 % of product, i.e. 7500 mg / application (In ECHA (2012) it is
estimated that the
dermal exposure for
a professional is 1.37
mg/kg/day
corresponding to
82.2 mg/day for a
woman)
Oral NA
Eye NA
Step 4
This section describes and explains the calculation of exposure:
Adult:
Dermal load:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐹 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛= 𝐿𝑑𝑒𝑟 =
7500𝑔 × 0.001 × 0.25 × 1
1910 𝑐𝑚2= ≅ 𝟎. 𝟗𝟖
𝒎𝒈 𝑻𝒊𝑶𝟐
𝒄𝒎𝟐
External dermal dose:
𝐷𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝐹 × 𝑛 × 𝑅𝑅
𝐵𝑊=
7500𝑔 × 0.25 × 0.0001 × 1 × 1/𝑑𝑎𝑦
60 𝑘𝑔=
0.0031 g TiO2 / kg bw /day = 3.1 mg TiO2 /kg bw /day
Teenager (13.5 years):
Dermal load:
𝐿𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐹 × 𝐶𝑛𝑎𝑛𝑜 × 𝑅𝑅
𝐴𝑠𝑘𝑖𝑛= 𝐿𝑑𝑒𝑟 =
7500𝑔 × 0.001 × 0.25 × 1
1400𝑐𝑚2= ≅ 1. 𝟑𝟒
𝒎𝒈 𝑻𝒊𝑶𝟐
𝒄𝒎𝟐
External dermal dose:
𝐷𝑑𝑒𝑟 =𝑄𝑝𝑟𝑜𝑑 × 𝐶𝑛𝑎𝑛𝑜 × 𝐹 × 𝑛 × 𝑅𝑅
𝐵𝑊=
7500𝑔 × 0.25 × 0.0001 × 1 × 1/𝑑𝑎𝑦
43.9 𝑘𝑔=
0.0043 g TiO2 / kg bw /day = 4.3 mg TiO2 /kg bw /day
388
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
A nanoTiO2 concentration of 25 % is considered a worst case. A Danish survey has found that the
concentration of photocatalytic TiO2 in paints on the Danish market is 5-10 %. (Occurrence and
effects of nanosized anatase titanium dioxide in consumer products (Danish EPA, in prep)).
The dermal exposure assessment is as a worst case assuming that 50 % of the surface of arms and
hands are exposed.
It is assumed that 0.1% of the product volume/weight gets in contact with the skin. This is taken
from ECHA guidance and might be a bit low.
Eye exposure is likely when rolling with paint. No data on this issue have been identified, but should
be qualitatively considered in WP5.
Step 6 (for use in WP5)
Consumers may also be exposed from nano-TiO2 from other sources such as cosmetics, from
textiles where TiO2 is added as UV-filter, and from other coatings and inks. Furthermore nano-TiO2
may be released from different articles/matrices.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Danish EPA (in prep): Occurrence and effects of nanosized anatase titanium dioxide in consumer
products.
ECHA (2012): Guidance on information requirements and chemical safety assessment. Chapter
R.14: Occupational exposure estimation. Version: 2.1, November 2012
389
Scenario 10b - Product: Primer Paint containing nano-TiO2 8.11
Description of exposure scenario: Case 10b: Sanding UV-protective primer paint
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary. Parameter Specified
data* Estimated*
Comments/ References
Product category
Coating/impregnation
http://www.bund.net/nc/themen_und_projekte/nanotechnologie/nanoproduktdatenbank/produktsuche/?tx_mspproductdb_pi1%5Bitem%5D=837&offset=1&unterkat=14&msb_product_submit=suchen
Type of Product Primer or UV-protective coating
This type of product can be used either as a primer before painting or as UV-protective coating. http://www.titanprotect.de/deu/4_Produkte/10_Beschichtungen/51_Produkt-TP2220.html
ID of nanomaterial
Nano-TiO2
Characterisation, e.g. size distr. Size Crystal form
<3 nm
Anatase
http://titanprotect.de/file/pdfs/neu/PDB/PDB%20TP2221.pdf Anatase is assumed due to the photocatalytic properties.
Physical matrix/form of product
Hardened primer or UV-protective surface coating on absorbing surfaces
http://titanprotect.de/file/pdfs/neu/PDB/PDB%20TP2221.pdf
Package design, volume
NA This assessment is of post-application aftertreatment
Application/use/ handling
Sanding using electrical sander
This procedure was chosen as the evaluation scenario.
Location of nanomaterial eg. free/ matrix-bound
1) UV-resistant surface coating or 2) Primer under hardened paint
We assess case 1
Direct/ indirect exposure
Direct exposure
Indoor/ outdoor use
Indoor and outdoor
Generation of nanomaterial during use
Likely as the use phase in this case is sanding
This product type consists of nano-TiO2 dispersed in water (http://titanprotect.de/file/pdfs/neu/PDB/PDB%20TP2221.pdf); possibly added a minor amount of stabilizer. Consequently, a highly enriched layer of nanoTiO2 will form on the surface of the treated product during drying. This layer may be coated with paint when the product is used as a primer, but will occur as a direct surface coating if applied as a UV-protective coating.
Specific target group (children, teenagers etc.)
Adults and teenagers
Forseeable Yes User may sand the surfaces under poorly ventilated conditions without
390
misuse PPE Site of contact/ exposure
Direct surface contact by hands and broader dust deposition
We assess only the dermal load by direct contact with palm of hands. Palms will often touch the surface during sanding to support and the operator as well as to feel the quality of the sanding. Finally, dust remaining on the surface will normally be cleaned of by vacuuming, washing and wiping. We assess the situation of dermal load after 1 touch of a 100% covered surface layer with 100% transferred to the skin. This is assumed to roughly saturate the dermal load.
Primary exposure route(s)
Inhalation and dermal (oral, eye)
Concentration of nanomaterial in product
Surface layer with 0.70 g/m2
The surface or primer layer is assumed to consist of 100% NanoTiO2. The product contains 0.7-0.9% nanoTiO2 dispersed in water. http://titanprotect.de/file/pdfs/neu/PDB/PDB%20TP2221.pdf. After drying the primer or UV-coating will consist of TiO2 alone. With 1/13 L/m2 as found in the example below, the area concentration of NanoTiO2 is on the order of 0.70 g/m2:
Volume of product used, exposed to (1)
1 L/13 m2 Example taken from Aqua Titanium Primer: http://www.beckmann.dk/da-dk/shop/indend%C3%B8rs/tr%C3%A6--metal/grunder/grunder-aqua-titanium--primer.aspx?mode=3&nav=1300000@@SHOP5 This is assumed a reasonable worst case area concentration
Body area exposed to (1)
Hands Nordic Council of Ministers (2011): adult Nordic Council of Ministers (2011): adult
Retention rate on body surface (1)
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of nanomaterial from matrix
0.28 – 1.39 g/hour
Assuming use as 100% layer of UV-protective surface coating emission rates of 1.39 and 0.28 g/hour were reached at 100 and 20% removal, respectively.
Ingested amount
minor Not assessed
Concentration in air/ Volume of product released into air
0.28 – 1.39 g/hour
According to the estimate give above
Duration of exposure
0.5 hour minutes to hours
Frequency of exposure
1 per year Depending on application, the product may last for up to 10 years. http://titanprotect.de/file/pdfs/neu/PDB/PDB%20TP2221.pdf
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Cnano in product Density of product Amount nanoTiO2 Cnano of treated surface
wt% g/ccm g nanoTiO2/L g/m2
0.9 1.006 9.054 0.70
Rate of work
m2/hour
2 1.39 0.28
handheld sander 100% removal 20% removal
Emission rate
g/hour
391
Exposur
e route
Algorithms used Comments
/
Reference
s
Inhalatio
n
exposure
Three studies give emission data that are relevant for the current
Primer product.
Chu and Chain (2007) observed 8-127 nm-size particle emissions on the
order 280,000 particles/min/m2 during scraping on a nanoTiO2
powder coating.
Göhler et al. (2010) determined that taper abrasion-induced emission
from treating of a 13 cm2 architectural powder coating in a 30 m3 room
with no ventilation and estimated a total worst case concentration of
620 particles/cm3 air. For a 1 m2 product surface this corresponds to an
end concentration of 476,926 particles/cm3 air. The sizes of nano-
coating emissions were bimodal with peaks in the 10-30 nm and 100-
200 nm range depending on the material (ZnO and Fe2O3)
Recently Gomez et al., (2014) determined the size-resolved emission
rates between ca. 3,000 and 8,000 particles/cm3/sec during machine
sanding two different nanoTiO2-rich doped experimental paints (36
wt%) in a 0.66 m3 steel chamber. The emissions were determined to be
dominated by matrix-composite dust particles with a wide size-
distribution peaking between 400 nm and ca. 1 µm. Assuming 0.5 hour
sanding in a 30 m3 room this results in end-concentrations of 158,400
to 422,400 particles/cm3, respectively
In table 4-16, we conclude that none of the REACH tools or nano-
specific CB-like tools are currently available to make a quantitative
exposure assessment based on particle number concentrations. None of
the tools appeared to be directly applicable for consumer assessment of
sanding coatings. Consequently, a conservative mass-based exposure
estimate is made using the Tier 1 estimation of inhaled dose in R.15
(ECHA, 2012):
nBW
TIHCFD
contactairinhresp
inh
Input parameter Description Units Cinh Concentration of
substance in air of room
[mg/m3]
Fresp Respirable fraction of inhaled substance (default 1)
[-]
IHair Ventilation rate of person (adult 2.75x10-
2; teenager 2.75x10-2
m3/min
[m³/d]
Tcontact Duration of contact per event (default 1 day)
[d]
BW Body weight [kg]
N Mean number of [/d]
Chu and
Chain
(2007)
Göhler et al.
(2010)
Gomez et al.
(2014)
ECHA R.15
v 2.1 (2012)
392
events per day
Output parameter
Description
Dinh Inhalatory dose (intake) of substance per day and body weight
[mg/kg BW d]
aveinhC , (mg/m3) was calculated according to:
30/30
1
,
i
iaveinh
V
tRC
where R = emission rate [mg/min or n/min], ti = time [min], and
V = Room volume [m3].
Using the above-mentioned estimated release rates of 0.28 and 1.39
g/hour for 20 and 100% removal, respectively and assuming sanding
for 30 min in a 20 m3 un-ventilated room (according to R.15 version
2.1; 2012) as a worst case scenario and leaving the room immediately
after sanding the average aveinhC , reaches:
18 mg nanoTiO2/m3 (peak value = 34.75) at 100% removal of the UV-
protective coating from 1 m2 product.
and
3.6 mg nanoTiO2/m3 (peak-value 7.00) at 20% removal of the UV-
protective coating from 1 m2 product.
The concentration evolution plots for these two cases are shown below.
Dermal
exposure
The external dermal load (Lder) and dose (Dder) at direct contact the procedure
by ECETOC TRA Equation R.15-5, 15-6 and 15.7 (ECHA, 2012):
D
CCTHCcmmgL
prod
derderderder
1000/
BW
nALkgmgD skinder
BWder /
ECHA
(2012)
0
5
10
15
20
25
30
35
40
0 5 10 15 20 25 30 35
Co
nce
ntr
atio
n (
mg/
m3)
Time (min)
C(t)100% (mg/m3)
C(t)20% (mg/m3)
393
Lder: Amount of substance on skin per event (mg/cm2)
Cder: Dermal concentration of substance on skin (mg/cm2)
Dder: Dermal dose (mg/kgBW)
THder: Thickness of product on layer (assumed 0.001 cm)
Cprod: Concentration of substance in product before dilution (g/cm3)
D: Dilution factor (1 if not diluted)
Askin: Surface of exposed skin (cm2)
n: Mean number of events per day
BW: Body weight (kg)
Oral
exposure
Expected to be negligible compared to the full body exposure
Eye
exposure
Expected to be negligible compared to the full body exposure
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (adult)
56.8 (11-<16
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (site of
contact): palm of
hands (male, female
and 11-<16 years)
50% of hand
mean surface
area (m2)
Male: 0.0535
Fem: 0.0445
Teen: 0.0360
Nordic Council of Ministers (2011)
Nordic Council of Ministers (2011)
Nordic Council of Ministers (2011)
Density 3.9 g/cm3 http://webmineral.com/data/Anatase.shtml
Daily amount NA
Application per day 1/365
Amount which may
get in contact with
skin through
splashes or direct
contact.
NA
394
Concentration of
nano-TiO2 in
product
100%
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
0.001
1oo%
Other relevant parameters for not taken into consideration in the assessment.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Ventilation rate
Size-distribution
Agglomeration (coagulation)
Surface deposition
Deposition efficiencies in the airways
Indoor or outdoor use
Schenider et al.
(2011)
Dermal exposure No additional parameters
Oral NA
Eye NA
395
Step 4
This section describes and explains the calculation of exposure:
Inhaled Dose: Adult male: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council, 2012) 100% removal:
daykg
mg
kg
dayday
m
m
mg
nBW
TIHCFD
adultbw
contactairinhresp
inh
,
3
3
216.0170
24
2
1
32.40181
20% removal:
daykg
mg
kg
dayday
m
m
mg
nBW
TIHCFD
adultbw
contactairinhresp
inh
,
3
3
0432.0170
24
2
1
32.406.31
Considering that this scenario is repeated once every year, the average annual exposure dose is also 0.216 and 0.0432 mg/kgbw,maleYear at 100 and 20% removal of the TiO2 coating, respectively.
For an adult female the all inhalation values will be 14.3% higher per kg bodyweight.
Teenager (11-<16 years):
Inhaled Dose: Respiration volume 0.025 m3/min for moderate intensity (Nordic Ministry Council,
2012)
100% removal:
daykg
mg
kg
dayday
m
m
mg
nBW
TIHCFD
teenagerbw
contactairinhresp
inh
,
3
3
238.018.56
24
2
1
36181
20% removal:
daykg
mg
kg
dayday
m
m
mg
nBW
TIHCFD
teenagerbw
contactairinhresp
inh
,
3
3
0475.018.56
24
2
1
44.376.31
396
Considering that this scenario is repeated once every year, the average annual exposure dose is also
0.238 and 0.0475 mg/kgbw,teenYear at 100 and 20% removal of the TiO2 coating, respectively.
Dermal exposure dose:
Dermal load is estimated considering exposure and 100% transfer to skin of a 0.1 mm thick sanding
debris entirely consisting of nanoTiO2
2
3
29.3
1
10009.3
001.01000
cm
mgcm
g
cmD
CCTHC
cm
mgL
prod
derderderder
Adult Male: Inner half of hand: 535 cm2; 70 kg according to Nordic Council of Ministers (2011)
maleBW
skinder
BW
derkg
mg
kg
cmcm
mg
BW
nAL
kg
mgD
,
2
2
81.2970
15359.3
Adult female: Inner half of hand: 445 cm2; 60 kg according to Nordic Council of Ministers (2011)
femaleBW
skinder
BW
derkg
mg
kg
cmcm
mg
BW
nAL
kg
mgD
,
2
2
93.2860
14459.3
Teenager: Inner half of hand: 535 cm2; 56.8 kg according to Nordic Council of Ministers (2011)
teenBW
skinder
BW
derkg
mg
kg
cmcm
mg
BW
nAL
kg
mgD
,
2
2
72.248.56
13609.3
In all cases, because the scenario is 1 time per year, the daily dermal dose is also the annual dose.
Summary Table: Estimated inhalation and dermal dose for females, males and teenagers during
sanding of nano-TiO2 product 100 and 20 %.
Nano-TiO2
covering
removal
Adult,
female (60 kg)
male (70 kg)
Teen (56.8 kg)
Inhalation
[µg/kg]
Dermal
[mg/kg]
Oral
[mg/kg]
Inhalation
[µg/kg]
Dermal,
[mg/kg]
Oral
[mg/kg]
100 % f 247
m 216
f 28.93
m 29.81 NA 238 24.72 NA
20 % f 49.4
m 43.2
f 28.93
m 29.81 NA 47.5 24.72 NA
397
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
Based on literature data on emission characteristics of sanding dust (e.g., Hsu and Chein, 2007;
Göhler et al., 2010; Gomez et al., 2014), it is assumed that all emitted particles are in the respirable
fraction and dominated by particles between 10 and 200 nm. However the deposition efficiency of
the respirable fraction is not 100% as it is assumed in Tier 1 of R.15 (ECHA, 2012). In addition, in
the inhalation scenarios, the airborne exposure concentrations are set very conservative by
assuming that the surface layer consists of 100% nanoTiO2 and dispersing the sanding emission
into 20 m3 volume of the standard small room recommended in R.15 without ventilation. Normally
sanding is expected to occur under better indoor ventilated conditions or outdoors with high rate of
ventilation and dilution and in both cases during use of personal respiratory protection. In small
rooms, it can be assumed that the ratio between near-field source exposure concentrations and the
average room concentrations of respirable particles approach unity.
If this type of process is conducted for extended durations of time or with higher frequency the
potential exposure increases dramatically. However, due to the modifying factors not considered in
this assessment, more advanced modelling is required to assess the potential exposure levels and
doses in such cases.
The dermal exposure was assessed for palms touching the sanded surface with 100% loose
NanoTiO2 resulting in a 0.001 cm layer transferred onto the skin. Dermal exposure from aerosol
deposition, changing sanding paper and cleaning the sanded surface etc. was not considered. Even
though the dermal deposition may be higher, it is assumed that at least the maximum possible palm
concentration was close to being reached in the given calculations. Additional dermal exposure will
occur on other skin surfaces accessible for dust. However, the assumption of the 100% efficient
transfer from the sanded surface to inner hand is a high estimate. The exact transfer and possible
load of nanoTiO2 and sanding dust is not known at this point as well as the deposition efficiency of
airborne dust onto accessible skin.
Direct oral exposure was assumed negligible. Oral uptake would come from NanoTiO2 deposited in
the nose and mouth as well as brought up along the mucusilary escalator from the respiratory tract.
(is implicitly covered by the inhaled dose). Some NanoTiO2 may also enter the gastro-intestinal
tract from lips and inadvertent hand to mouth dust transfer.
Overall, the assessment of daily dose should be used with caution as the results rely mostly on
model and worst case exposure considerations. It is, however, evident that this type of process is
associated with high risk of very high peak exposure concentrations to both airways and skin.
Step 6 (for use in WP5)
The calculated scenario is relevant for a sanding a specific group of surface coatings including
primer paints, particle-based or solid nanoscale surface coatings as well as paints with very high
loads of specific nanocompounds. The calculations are assumed to consider typical worst case
scenarious. However, quantitative measurements are still needed to buld the knowledge base and
perform more accurate exposure assessments.
It should also be noted that consumers may also be exposed from Nano-TiO2 from other sources
such as cosmetics, from textiles where TiO2 is added as UV-filter, and from other coatings and inks.
Furthermore nano-TiO2 may be released from different articles/matrices.
398
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA (2012): Guidance on information requirements and chemical safety assessment. Chapter
R.14: Occupational exposure estimation. Version: 2.1, November 2012
Hsu LY, and Chein HM. 2007. Evaluation of nanoparticle emission for TiO2 nanopowder coating
materials. Journal of Nanoparticle Research 9 (1): 157-163.
Göhler D, Stintz M, Hillemann L and Vorbau M. 2010. Characterization of nanoparticle release
from surface coatings by the simulation of a sanding process. Annals of Occupational Hygiene
54(6), 615-624.
Gomez V, Levin M, Saber AT, Irusta S, Del Maso M, Hanoi R, Santamaria J, Jensen KA, Wallin H,
and Koponen IK, 2014. Comparison of dust release from epoxy and paint nanocomposites and
conventional products during sanding and sawing, Annals of Occupational Hygiene, 2014, 1-12 e-
pub ahead of print. doi:10.1093/annhyg/meu046.
Schneider T, Brouwer D, Koponen IK, Fransman W, Jensen KA, van Duuren-Stuurman B, van
Tongeren M & Tielemans E., 2011. Conceptual model for assessment of inhalation exposure to
Manufactured Nanoparticles. Journal of Exposure Science and Environmental Epidemiology 21,
450–463.
399
Scenario 11 - Product: Paint with Nano-Ag 8.12
Description of exposure scenario: Case 11: Spray painting surface
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data*
Estimated*
Comments/ References
Product category
Coating/impregnation
http://www.bioni-living.de/MycoSolan
Type of Product
Antibacterial and fungicide paint
http://www.bioni-living.de/MycoSolan
ID of nanomaterial
Ag-complex
NanoAg It is assumed that the Ag is added as NanoAg to the paint. The product data-sheet claims “Silber-Komplex”
Characterisation, e.g. size distr. Size Crystal form
NA NA NA
The product data-sheet claims “Silber-Komplex”, which may mean that the Ag is not present as ions and not as nanoparticles.
Physical matrix/form of product
Acrylic paint matrix
http://www.bioni-living.de/MycoSolan
Package design, volume
5L; 10L http://www.bioni-living.de/MycoSolan
Application/use/ handling
brush, roller, or spray
http://www.bioni-living.de/MycoSolan. Only the spray scenario is assessed in this evaluation.
Location of nanomaterial eg. free/ matrix-bound
Ag is in a liquid matrix
Direct/ indirect exposure
Direct exposure
Indoor/ outdoor use
Indoor The specific type of Ag-paint is intended for indoor use, but outdoor types also exist.
Generation of nanomaterial during use
Unlikely The matrix is acrylic paint and consumers will typically apply brush or roller in indoor applications. In the worst case, a spray gun may be applied.
Specific target group (children, teenagers etc.)
Adults and teenagers
Forseeable misuse
Yes Application using spray gun and without requested use of gloves, glasses, mask, and ventilate the working area.
Site of contact/ exposure
Direct surface contact by unprotected
We assess the dermal load by direct dermal contact on hands and aerosol deposition of overspray.
400
hands, deposition of aerosol/ dripping/ splashes
Primary exposure route(s)
Inhalation and dermal
Concentration of nanomaterial in product
1% http://www.bioni-living.de/MycoSolan does not report in any composition data. We assume that the concentration is lower than 1 wt% as a worst case assumption.
Volume of product used, exposed to (1)
0.35 mL /m2
http://www.bioni-living.de/MycoSolan. This is the amount to be used according to the supplier example.
Body area exposed to (1)
Face Hands
Nordic Council of Ministers (2011): adult Nordic Council of Ministers (2011): adult
Retention rate on body surface (1)
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of nanomaterial from matrix
none It is not expected that nanoAg is liberated from the liquid paint matrix
Ingested amount
minor Not assessed
Concentration in air/ Volume of product released into air
17.25 g/min
5 m2 can be painted in 12 min (600 ml chamber) when using a spray gun. http://byg1.dk/shop/bosch-pfs55-sproejtepistol-3132p.html. This gives a release rate of 600 mL/12 min = 50 mL/min (57.5 g/min at a density of 1.15 g/cm3 from http://www.bioni-living.de/MycoSolan) and a coverage rate of 5 m2/12 min = 0.417 m2/min. Using a default deposition efficiency for air-less spraying of 0.70 (Brouwer et al., 2001), the total paint overspray released to air becomes: (1.0-0.7) x 57.5 g/min = 17.25 g/min. It should be noted that this fraction is not only the inhalable paint dust, but also include the size-fraction that can not reach the airways.
Duration of exposure
0.5 hour Painting can take between minutes and hours. However, using the spray rate above and a 20 m3 standard room (R.15 v.2; ECHA, 2012) resulting in a wall area of 8.7 m2 (assuming ceiling height 2.3 m), the entire work duration is set to 8.7 m2/0.417 m2/min = 20.86 min + paint gun refilling time = 30 min.
Frequency of exposure
once day every 5 years
Indoor paints can last for several years. Painting every 5 years is a conservative guess.
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
401
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposu
re route
Algorithms used Comment
s/
Reference
s
Inhalatio
n
exposure
One previous relevant exposure assessment of spray painting was
conducted in the NANEX project (2010) considering a water-based paint
with 25 wt% nanoTiO2. They found an average airborne concentration of
1.7 mg nanoTiO2/m3 (recalculated this equals 6.8 mg paint dust/m3)
using the ConsExpo model for 25 min application. The inhalational
exposure dose was estimated to be 0.0157 mg nanoTiO2/kgBW. The Ag-
doped paint considered here contains < 1 wt%. Therefore direct
conversion of the NANEX scenario would result in 0.068 mg Ag/m3 and
an inhaled dose of 0.000628 mg/kgBW, i.e. 0.638 µg Ag/kgBW.
There appears in general to be a lack of relevant exposure measurement
data on painter using sprays and on the number size-distribution
measurements of overspray aerosols from spray painting; i.e. the spray
droplets that are aeroslized but do not deposit on the intended object. No
studies were found to describe the overspray and mass- or particle size-
distributions from spraying nanoparticle-doped paints.
A relevant study by Sabty-Daily et al. (2005) showed that the Mass
Median Aerodynamic Diameter (MMAD) of overspray from a water-
reducing epoxy-paint primer varied from 8.22.4 µm at 6 psi to 7.23.1
µm at 10 psi, respectively. Hence, the overspray aerosol can be expected
to be inhalable and to some extent respirable. Results from an analysis
based on the overspray size-distributions in the Sabty-Daily study
suggested that 88% of the mass would deposit in airways of the head
region and 3-4% would deposit in the tracheo-brachio-alveolar region.
ConsExpo has previously been used to assess the inhalation exposure to
spray paint in the NANEX study. We converted the results from this
study to the current scenario above.
In addition, a more conservative mass-based assessment of the
inhalation exposure estimate is made using the traditional Tier 1
estimation of inhaled dose in R.15 (ECHA, 2011):
nBW
TIHCFD
contactairinhresp
inh
Input parameter Description Units
Cinh Concentration of substance in air of room
[mg/m3]
Fresp Respirable fraction of inhaled substance (default 1)
[-]
NANEX
(2010) /
ConsExpo
Sapty-Daily
et al.
(2005)
ECHA
(2011)
402
IHair Ventilation rate of person (adult 2.7x10-2; teenager 2.6x10-2
m3/min
[m³/d]
Tcontact Duration of contact per event (default 1 day)
[d]
BW Body weight [kg] N Mean number of
events per day [/d]
Output parameter
Description
Dinh Inhalatory dose (intake) of substance per day and body weight
[mg/kg BW d]
aveinhC , (mg/m3) was calculated according to:
30/30
1
,
i
iaveinh
V
tRC ,
where R = emission rate [mg/min or n/min], ti = time [min], and
V = Room volume [m3].
Using the above-mentioned estimated release rate of 17.25 g/min and a
total exposure time of 0.5 hour (effective spraying for 20.8 minutes in a
20 m3 un-ventilated room (according to R.15 version 2.1; 2012)) adding 7
minutes for refilling time after first 600 ml use at ti = 16 to 22 min) as a
worst case scenario and leaving the room immediately after painting is
completed, the average aveinhC , reaches:
10,948 mg total paint dust/m3 (peak value = 19,665 mg/m3) after 30
min.
Assuming the Ag content to be 1 wt%, the Ag concentration is thus:
0.01 x 10,948 = 109.48 mg Ag/m3 (peak value = 196.65 mg Ag/m3).
These concentration values are rather high and as they are derived from
the overspray assumption the concentrations include the total size-
distribution of paint not adhering to the painted surface, including non-
inhalable large droplets. The fraction of respirable paint dust is not
known.
The temporal evolution in Cinh,ave is illustrated in the below.
Time-
weighed
average
exposure
concentrati
on
403
Dermal
overspra
y
depositio
n
O
DPWVVEVCTVM
sprayNTsprayCOI
TOT
01.01
MTOT: Emission rate onto painter (mg)
V: Volume rate of spraying (L/min)
T: Duration of spraying task (min)
CCOI: Concentration of compound of interest (mg/L)
product density multiplied with weight fraction of
compound
spray: Deposition efficiency of selected spray-technique (%; expressed as
decimals). Defaults:
compressed air spraying: 0.35
airless spraying: 0.70
electrostatic spraying: 0.80
EV: Evaporation rate (dimensionless factor)
Non-volatile compounds: 1
Volatile fractions in warm and high air-movement
conditions: 0.3
Volatile fractions in cold and low air-movement
conditions: 1
VNT: Ventilation factor (dimensionless factor). Defaults:
Enclosed spaces: 1
Natural/general ventilation: 0.3
Local exhaust ventilation: 0.1
WV: Worker orientation factor (dimensionless factor). Default values:
Air movement towards worker at 180° orientation: 3
Air movement to the side of the worker: 1
Brouwer et
al. (2009)
0
5000
10000
15000
20000
25000
0 10 20 30 40
Time (min)
C(t
) (m
g/m
3)
C(t) (mg/m3)
404
Dermal
overspra
y dose
Air movement at indefinite direction (90° orientation): 1
Air movement from the worker at a 180° orientation: 0.3
P: Posture factor (dimensionless factor). Defaults:
Stretched normal position: 1
Bent or 180 deviation: 0.3
Position aside air-stream: 0.1
D: Distance factor (dimensionless factor). Defaults:
Recommended spray distance: 1
Closer than recommended spray distance: 3
Further away than recommended spray distance: 0.3
O: Object factor (dimensionless factor for the shape of treated material).
Defaults:
Flat densely structured items: 1
Open-structure or absorbiong pieces: 3
Enclosed special-shaped opjects: 0.3
In this scenario a conservative value of 1 is chosen for all the
parameters
MTOT is thereafter adjusted to calculate the dermal dose per kgBW
adjusted to the normal worst-case un-covered dermal area (face and
hands).
BW
FQMkgmgD TOT
BWoversprayder /,
Following a simple adjustment of the procedure in ECETOC TRA in R.15.
v 2.1 (ECHA, 2012)
Dder,overspray: Dermal dose (mg/kgBW)
FQ: Surface of exposed skin (cm2)
BW: Body weight (kg)
Modificatio
n of
ECETOC
TRA
(ECHA,
2011)
Dermal
contact
exposure
The external dermal load (Lder) and dose (Dder) at direct contact the
procedure by ECETOC TRA Equation R.15-5, 15-6 and 15.7 (ECHA,
2012):
D
CCTHCcmmgL
prod
derderderder
1000/
BW
nALkgmgD skinder
BWder /
Lder: Amount of substance on skin per event (mg/cm2)
Cder: Dermal concentration of substance on skin (mg/cm2)
ECHA
(2011)
405
Dder: Dermal dose (mg/kgBW)
THder: Thickness of product on layer (assumed 0.01 cm)
Cprod: Concentration of substance in product before dilution (g/cm3)
D: Dilution factor (1 if not diluted)
Askin: Surface of exposed skin (cm2)
n: Mean number of events per day
BW: Body weight (kg)
Oral
exposure
Relevant, but not assessed
Eye
exposure
Relevant, but not assessed
Step 3
For the identified target population, relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (male)
60 kg (female)
71.6 (16-<21
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (hand,
head):
(male and female
41 - <51 years old;
teenager 16 - <21
years old)
50% of hand area
60% of head area
Total regional dermal areas
Nordi
c Council of Ministers (2011)
Dermal area
Men
40<50
Women
40<50
Teen 16-
21y
Hands (cm2) 1118.0 906.2 828.0
Head (cm2) 1419.0 1170.6 754.4
Total (cm2) 21500 18880 18400
Density 10.5 g/cm3 http://webmineral.com/data/Silver.shtml#.U_nII8XV9c
Q
Daily amount NA
Application per year 1 Only once every some years (1 time every 5 years in this
406
case)
Amount which may
get in contact with
skin through
splashes or direct
contact.
Assessed from the
area of hands and
film thickness.
Concentration of
nano-Ag in product
1% For assessment, a concentration of 1 wt% was used. The
true values are likely lower than 1 wt%. The mass-
concentration is 11.5 g/L at density 1.15 g/cm3
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
1 mm
100%
In accordance with R.15 v. 2.1 (ECHA, 2012)
Step 4
This section describes and explains the calculation of exposure:
Male Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012).
daykgmgAgkg
dayday
m
m
mg
nBW
TIHCFD maleBW
contactairinhresp
inh ,
3
3
/314.1170
24
2
1
32.4048.1091
Dermal overspray dose:
O
DPWVVEVCTVM
sprayNTsprayCOI
TOT
01.01=
mgAgL
mgL
M AgTOT 188.251
1)7.001.0(11117.0111500min86.20min
05.0
,
maleBW
TOT
BWoversprayder kgmgAgkg
cm
cmcmmgAg
BW
FQMkgmgD ,
2
22
, /0236.070
21500
14196.011185.0188.25
/
In this exposure estimate the dermal area accessible for exposure is assumed to be 50% of hands
and 60% of head region. This exposure dose must be normalized for the entire body area as the
overspray considers the entire body.
407
Dermal contact dose (inner side of hands):
23
2 /115.001.01
10000115.01000/ cmmgcm
g
D
CCTHCcmmgL
prod
derderderder
maleBWskinder
BWder kgmgkg
cmcmmg
BW
nALkgmgD ,
22
/918.070
11185.0/115.0/
Female Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgmgAgkg
dayday
m
m
mg
nBW
TIHCFD femaleBW
contactairinhresp
inh ,
3
3
/533.1160
24
2
1
32.4048.1091
Dermal overspray dose adult female:
O
DPWVVEVCTVM
sprayNTsprayCOI
TOT
01.01=
mgAgL
mgL
M AgTOT 188.251
1)7.001.0(11117.0111500min86.20min
05.0
,
femaleBW
TOT
BWoversprayder kgmgAgkg
cm
cmcmmg
BW
FQMkgmgD ,
2
22
, /0257.060
18880
6.11706.02.9065.0188.25
/
In this exposure estimate the dermal area accessible for exposure is assumed to be 50% of hands and 60% of head region. This exposure dose must be normalized for the entire body area as the overspray considers the entire body.
Dermal contact dose (inner side of hands):
23
2 /115.001.01
10000115.01000/ cmmgcm
g
D
CCTHCcmmgL
prod
derderderder
BW
skinder
BWder kgmgkg
cmcm
mg
BW
nALkgmgD /868.0
60
2.9065.0115.0
/
2
2
Teenager (16 - <21 years):
408
Inhaled Dose: Respiration rate 0.026 m3/min for moderate intensity; body-weight = 71.6 kg
(Nordic Minister Council report; 2012):
daykgmgAgkg
daymm
mg
nBW
TIHCFD maleBW
contactairinhresp
inh ,
3
3
/193.116.71
24
2
2
44.3748.1091
Dermal overspray dose:
O
DPWVVEVCTVM
sprayNTsprayCOI
TOT
01.01
mgAgL
mgL
M AgTOT 188.251
1)7.001.0(11117.0111500min86.20min
05.0
,
teenagerBW
TOT
BWoversprayder kgmgAgkg
cm
cmcmmgAg
BW
FQMkgmgD ,
2
22
, /0167.06.71
18400
4.7546.08285.0188.25
/
In this exposure estimate the dermal area accessible for exposure is assumed to be 50% of hands
and 60% of head region. This exposure dose must be normalized for the entire body area as the
overspray considers the entire body.
Dermal contact dose (inner side of hands):
BWskinder
BWder kgmgkg
cmcm
mg
BW
nALkgmgD /665.0
6.71
8285.0115.0
/
2
2
Summary Table: Estimated inhalation and dermal dose for females, males and teenagers during
spray painting with a Nano-Ag paint
Nano-Ag
paint
Adult,
female (60 kg)
male (70 kg)
Teen (56.8 kg)
(1621 years)
Inhalation
[mg/kg]
Dermal
overspray
[mg/kg]
Dermal
contact
[mg/kg]
Inhalation
[mg/kg]
Dermal
overspray
[mg/kg]
Dermal
contact
[mg/kg]
100 % f 1.533
m 1.314
0.0257
0.0236
0.869
0.918 1.193 0.0167 0.665
Step 5
409
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
It is not verified whether this product contains nanoparticulate or ionic silver and the concentration
is not specified. In the assessment, it is assumed that the product contains 1 wt% silver
nanoparticles. The amounts of Ag in paints is not thought to exceed 1 wt%. The amounts and
physical form of the Ag needs generally to be better clarified for this type of products and silver-
based products in general. The assumptions taken on the product and the exposure scenarios are
assumed to represent worst case sitations for the paint area covered. See below.
In the inhalation scenarios, the airborne exposure concentrations are set very conservative as the
exposure was assessed as a spray case (air-less), the ventilation was set to zero and the 20 m3
volume of the standard room in R.15 is rather small. Moreover, the consumer exposure was
assessed without taking into consideration that the user should wear gloves, mask/respirator and
eye-protection in addition to full-body suite. The existing exposure measurement data are scarce
and do not include measurement of Ag-containing paints applied using a spray gun. No data
appears to be available showing the entire size-distribution during spraying this type of paint in
different scenarios. In the exposure assessment, we assume no mask is used by the consumer and a
100% air-way deposition efficiency. If painting of significantly larger areas are to be assessed, it is
recommended to use more advanced modelling and obtain further data on the products.
The dermal contact exposure was assessed for overspray as well as inner hands touching a newly
painted surface with 100% transfer from the exposed area to the hand. This assumption appears to
be a worst case estimate.
Eye and oral exposure was assumed negligible. Oral uptake would come from NanoAg deposited in
the nose and mouth as well as brought up along the mucusiliary escalator from the respiratory tract
and finally by accidental uptake via hand-to-mouth transfer. The inhaled dose implicitly covers the
worst case gastro-intestinal exposure that could arise from the inhalation pathway. Some NanoAg
may also enter the gastro-intestinal tract from lips and inadvertent hand to mouth dust transfer.
This exposure is not accounted for in this assessment.
Step 6 (for use in WP5)
Consumers may also be exposed from nano-Ag from other sources such as jewellery, cosmetics,
textiles, humidifiers, and from other coatings and food supplements.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA, 2012. Guidance on information requirements and chemical safety assessment. Chapter R.15:
Consumer exposure estimation. Version: 2.1, November 2012.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
410
Brouwer DH, Semple S, Marquart J, and Cherrie JW, 2001. A dermal model for spray
painters. Part I: Subjective exposure modelling of spray paint deposition. Annals of
Occupational Hygiene, 45/1. 15-23.
Micheletti C, Gerritsen R, Schmid K, Brouwer DH, Peters S, Gaelle U, Christensen F, 2010.
Development of Exposure Scenarios for Manufactured Nanomaterials. Work Package 4: Consumer
Exposure Scenarios. NANEX Project. 145 pp.
Schneider T, Brouwer D, Koponen IK, Fransman W, Jensen KA, van Duuren-Stuurman B, van
Tongeren M & Tielemans E., 2011. Conceptual model for assessment of inhalation exposure to
Manufactured Nanoparticles. Journal of Exposure Science and Environmental Epidemiology 21,
450–463.
411
Scenario 12 - Product: Surface impregnation product with silica 8.13
(silane/siloxane technology?)
Description of exposure scenario: Case 12: Coating counter-top surface by a spray
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data*
Estimated*
Comments/ References
Product category
Coating/impregnation
http://www.nanosafeguard.com/cooktop_treatment.html http://www.nanocover.dk/shop/nanocover-bad-fliser-180p.html
Type of Product
Easy to clean; Impregnation
http://www.nanosafeguard.com/cooktop_treatment.html http://www.nanocover.dk/shop/nanocover-bad-fliser-180p.html
ID of nanomaterial
Silica? A critical review of the products listed as containing silica in the
Woodrow Wilson database and the Danish “nanodatabasen” at
“Tænk” reveals that there is no evidence of this group of house-hold
products to contain silica or silicon dioxide. At nanosafeguard, a label
reports S1O2 hydrophobic chemistry and that the ingredients
chemically bind to the surface. (The other reference is NanoCover
Denmark, but they do not claim that their product contains silica.
Instead they refer to chemical nanotechnology. This is in accord with
chemical analysis by Nørgaard et al. (2009) identifying siloxane and
fluorosilane as the active ingredients in this type of products and no
presence of silica was found. Hence, that these products for indoor
use are based on nanofilm technology rather than a nanoparticle
technology, even-though nanofilm technology with nanoparticles
may have better performance. In this assessment, we consider the
products to potentially contain silica. Characterisation, e.g. size distr. Size Crystal form
NA NA NA
Physical matrix/form of product
Liquid matrix. Alcohol Ethanol
http://www.nanosafeguard.com/cooktop_treatment.html http://www.nanocover.dk/shop/nanocover-bad-fliser-180p.html
Package design, volume
2 oz (2.835 g) 75ml to 1L
http://www.nanosafeguard.com/cooktop_treatment.html http://www.nanocover.dk/shop/nanocover-bad-fliser-180p.html
Application/use/ handling
spray (recommended onto cloth or sponge) and then add to surface with
http://www.bioni-living.de/MycoSolan http://www.nanocover.dk/shop/nanocover-bad-fliser-180p.html
412
wipe/ sponge
Location of nanomaterial eg. free/ matrix-bound
In liquid
Direct/ indirect exposure
Direct exposure
Indoor/ outdoor use
Indoor The specific type of product is intended for indoor use, but outdoor types also exist.
Generation of nanomaterial during use
possibly Both alcohol and water-based “nano-pump-spray” have been shown to generate nanoparticles during use; both with and without presence of solid nanomaterials in dispersion (Nørgaard et al., 2009). A nanoTiO2-based product produced approximately the same amount and size-characteristics of airborne particles as silane- and siloxane-based products.
Specific target group (children, teenagers etc.)
Adults
Forseeable misuse
Yes The spray may be misused for direct spray onto surfaces rather than spraying on a wipe or sponge for subsequent surface treatment.
Site of contact/ exposure
Direct spray on unprotected hands or sponge and surface contact by un-protected hands
Dermal exposure may occur from aerosol deposition of overspray on wipe/sponge or (as unintended) on the surface to be treated as well as during wiping and polishing and direct surface contact, if the consumer is not wearing the recommended personal protection.
Primary exposure route(s)
Inhalation and dermal
Concentration of nanomaterial in product
NA <1% This concentration is inferred, because the composition and concentration are not reported in the safety or technical data sheets. One of the products found is rather expensive (10.7 USD/ml) as compared to known silane/siloxane products (ca. 0.12 to 0.40 USD/ml) and it could be inferred that the loading in the expensive product is much higher or different than in less expensive products.
Volume of product used, exposed to
NA 2.6 - 200 mL
The volume product required depends entirely on the product type and size of the objects to be treated. As minimum volume observed, a cook-top treatment can be purchased in 2 oz pumps (ca. 2.8 mL) http://www.nanosafeguard.com/cooktop_treatment.html. This bottle is for treatment of 50 square-feet (5.4 m2). Another product in the same surface-treatment category requires 10-25 ml/m2. http://www.nanocover.dk/images/shopdownloadfiles/045.01.%20Bad%20+%20Fliser.V.pdf A third comparable product requires 25-50 ml/m2. http://www.nanocover.dk/images/shopdownloadfiles/045.10.
413
Tr%C3%A6%20+%20Sten.V.pdf We assume treatment of a 5 m2 counter top.
Body area exposed to
Hands Nordic Council of Ministers (2011): adult
Retention rate on body surface
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of nanomaterial from matrix
None
Ingested amount
NA Not assessed
Concentration in air/ Volume of product released into air
unknown See discussion below
Duration of exposure
30 min 1 min
inhalation dermal (hand exposure); here the assumption is 50% coverage of hand once.
Frequency of exposure
2 per year
The coatings may last from 1 to several years. It is recommended to make two treatments the first time and then treating the surface once a year.
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure
route
Algorithms used Comments/
References
Inhalation
exposure
Nørgaard et al. (2009) analysed the particle and gas-phase
release to room air during use of nanoTiO2-, silane-, siloxane-
based nanofilm pump-spray products. They products were
intended for direct spray application onto surfaces using in
consumer-type pump-sprays. Particles measured 20 cm
behind the spray nozzle were in the respirable range with a
number peak-size around 100 nm and no particles larger than
3 µm were observed. The aerosol emission rate of the water-
solvent nanoTiO2 spray was ca. 3.1 108 particles/ml and it
showed a stable peak size at ca. 170 nm. A simple exposure
assessment showed that the particle concentration during use
could result in ca. 6103 particles/cm3 (authors’ correction)
after treating 7 m2 surface in a 17.4 m2 unventilated standard
room. For silane + siloxane products with 1 wt%, the emission
could in the worst case reach ca. 1.4 mg/m3 (authors’
correction) assuming no deposition of particles of chemicals.
Nørgaard et al.
(2009)
414
Converting these results to the silica spray products in this
study and treatment of 5 m2 countertop in 17.4 m3 room
would result in ca. 4300 particles/cm3 and a nanosilica
concentration of 1 mg/m3. However, it should be notified that
part of the silane / siloxane in the above-mentioned study is
volatile and the values for nanoTiO2 may therefore be lower.
Michel et al. (2013) performed a human and environmental
risk assessment of a commercial pump-spray glass-cleaner
with 0.09 wt% ca. 10 nm-size colloidal silica in water with
some additives. Spray tests performed to analyse the size-
distribution (lower size-limit 500 nm) of emission spray
droplets formed directly at spray head showed only large µm-
size droplets with 90 vol% of the spray droplets being larger
than 28-34 µm and a 50 vol% at 75-95 µm. An exposure
assessment was completed in ConsExpo 4.1 assuming 0.1 wt%
silica, 3 applications per day in use, mass-generation rate 2
g/sec (1 stroke per sec), 30 sec spray per room (60 g product),
exposure duration 10 min per room, room size 58 m2,
ventilation rate 0.5 h-1, median particle size 100 µm,
distribution coefficient 0.6, inhalation cut-off 100 µm, uptake
fraction 1 of the inhalable fraction, inhalation rate 32.9
m3/day (default for light exercise for 60 kg person). The result
from the ConsExpo scenario predicts an 10 min average silica
inhalation exposure level of 0.002 mg/m3 (peak
concentration 0.035 mg/m3). Direct spraying onto a person
would result in a 10 min average of 0.044 mg/m3.
Conversion to the 1 wt% product concentration used in this
assessment, and the use data by Michel et al. (2013) would
result in a 10 times higher exposure level. In addition,
reducing the room size to the 20 m3 typical for worst case
assessment, the concentration would finally reach on the
order of 0.06 mg silica/m3 for application of 60 mL product
(0.02 mg/mL).
The two case studies show differences with a factor greater
than 10 in the exposure levels estimated from read across.
For comparison with the above-mentioned indicative data,
the silica-based spray products mentioned above are assessed
for their inhalation dose using the traditional Tier 1
estimation of inhaled dose in R.15 (ECHA, 2011):
nBW
TIHCFD
contactairinhresp
inh
Input
parameter Description Units
Cinh Concentration of substance in air of room
[mg/m3]
Michel et al.
(2013)
ECHA (2011)
415
Fresp Respirable fraction of inhaled substance (default 1)
[-]
IHair Ventilation rate of person
[m³/d]
Tcontact Duration of contact per event (default 1 day)
[d]
BW Body weight [kg]
N Mean number of events per day
[/d]
Output parameter
Description
Dinh Inhalatory dose (intake) of substance per day and body weight
[mg/kg BW d]
For Cinh the two cases by Nørgaard et al. (2009) and Michel et
al. (2013) suggest that inhalable airborne concentrations
could reach 1 and 0.06 mg silica/m3, respectively. The
volumes required for treatments in these two cases, however,
appear to be very different. This is also the case for the
products found in the product description where between 2.5
and 200 mL is required to treat the same surface area. The
highest volume, is however, considered for materials with
some porosity, such as concrete. Due to apparent higher
product similarity with the Nanosafeguard product, we
assume that 2.5 mL is required for treatment of 5 m2 as this is
the product claimed to contain silica in the Woodrow Wilson
database. As a worst case, it is also assumed that the 2.5 mL
product is sprayed directly onto the countertop or onto
sponge with a similar distance between the nozzle and the
sponge in a room with no ventilation. The duration of
application is 10 min and the entire exposure duration is 30
min. The total concentration, aveinhC , was then 0.002125
mg/m3 calculated according to:
30/30
1
,
i
iaveinh
V
tRC ,
where R = emission rate [0.005 mg silica/min], ti = time
[min], and V = Room volume [20 m3].
The temporal evolution of the room concentration is shown
below.
416
Dermal
overspray
exposure
No applicable model
Dermal contact
exposure
The external dermal load (Lder) and dose (Dder) at direct
contact the procedure by ECETOC TRA Equation R.15-5, 15-6
and 15.7 (ECHA, 2012):
D
CCTHCcmmgL
prod
derderderder
1000/
BW
nALkgmgD skinder
BWder /
Lder: Amount of substance on skin per event (mg/cm2)
Cder: Dermal concentration of substance on skin (mg/cm2)
Dder: Dermal dose (mg/kgBW)
THder: Thickness of product on layer (assumed 0.001 cm)
Cprod: Concentration of substance in product before dilution
(g/cm3)
D: Dilution factor (1 if not diluted)
Askin: Surface of exposed skin (cm2)
n: Mean number of events per day
BW: Body weight (kg)
ECHA (2011)
Oral exposure
Not assessed
Eye exposure
Relevant, but not assessed
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
0.E+00
5.E-04
1.E-03
2.E-03
2.E-03
3.E-03
3.E-03
0 10 20 30 40
Time (min)
C(t
) (m
g/m
3)
C(t) (mg/m3)
417
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (male)
60 kg (female)
71.6 (16-<21
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (hand,
head):
(male and female 41
- <51 years old;
teenager 16 - <21
years old)
50% of hand area Total regional dermal areas
Nordic Council of Ministers (2011)
Dermal area Men
40<50 Women 40<50
Teen 16-21y
Hands (cm2) 1118.0 906.2 828.0
Total (cm2) 21500 18880 18400
Density 2.25 g/cm3 Roberts (2006)
Daily amount NA once every year
Application per year 1 Once every year
Amount which may
get in contact with
skin through
splashes or direct
contact.
Assessed from the
area of the hands
Concentration of
nanomaterial in
product
1% For assessment, a concentration of 1 wt% was used.
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
0.1 mm
100%
In accordance with R.15 v. 2.1 (ECHA, 2012)
418
Step 4
This section describes and explains the calculation of exposure:
Male Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgµgkg
daymm
µg
nBW
TIHCFD maleBW
contactairinhresp
inh ,
3
3
/051.0270
24
2
1
32.40125.21
Dermal contact dose (inner side of hands):
23
2 /01.0001.01
100001.01000/ cmmgcm
g
D
CCTHCcmmgL
prod
derderderder
maleBWskinder
BWder kgmgkg
cmcm
mg
BW
nALkgmgD ,
2
2
/080.070
11185.001.0
/
For all cases, the daily dose is also the annual dose.
Female Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgµgkg
daymm
µg
nBW
TIHCFD femaleBW
contactairinhresp
inh ,
3
3
/0595.0260
24
2
1
32.40125.21
Dermal contact dose (inner side of hands):
23
2 /01.0001.01
1000/01.01000/ cmmg
cmg
D
CCTHCcmmgL
prod
derderderder
BWskinder
BWder kgmgkg
cmcmmg
BW
nALkgmgD /0755.0
60
2.9065.0/01.0/
22
For all cases, the daily dose is also the annual dose.
419
Teenager (16 - <21 years):
Inhaled Dose: Respiration rate 0.026 m3/min for moderate intensity; body-weight = 71.6 kg
(Nordic Minister Council report; 2012):
daykgµgkg
daymm
µg
nBW
TIHCFD teenBW
contactairinhresp
inh ,
3
3
/0463.026.71
24
2
1
44.37125.21
Dermal contact dose (inner side of hands):
BWskinder
BWder kgmgkg
cmcmmg
BW
nALkgmgD /056.0
6.71
8285.0/01.0/
22
For all cases, the daily dose is also the annual dose.
Summary Table: Estimated inhalation and dermal dose for females, males and teenagers during
treatment of a countertop using a (assumed) silica spray.
Nano-TiO2
covering
removal
Adult,
female (60 kg)
male (70 kg)
Teen (56.8 kg)
(1621 years)
Inhalation
[µg/kg]
Dermal
overspray
[mg/kg]
Dermal
contact
[mg/kg]
Inhalation
[µg/kg]
Dermal
overspray
[mg/kg]
Dermal
contact
[mg/kg]
100 % f 0.0595
m 0.0510 NA
0.080
0.076 0.0463 NA 0.056
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
This exposure assessment is highly uncertain and values range from 0.06 to 1 mg/m3 using read
across from a silica nanospray (Michel et al., 2013) and a nanoTiO2 spray (Nørgaard et al., 2009),
respectively to 0.0021 mg/m3 in a case-specific scenario based on published results on the silica
nanospray. However, the assessment has uncertainties on the formulation and concentration in the
product, the relevant scenario on product group level, the amount of product required to treat the
surface, the release characteristics.
First, it is doubtful that the specific products identified in the data bases, for which the current
scenario was build, do contain silica in suspension, at all. However, literature data does report silica
in relevant products on the European market (Michel et al., 2013). There are likely two groups of
products of which one may contain silica and the other only contain silanes or siloxanes. In neither
of the cases, there are explicit information on the amount of the ingredients in the products. The
amount of product required for treatment was found highly variable and ranging from 0.5 to 50
mL/m2. The variation may be related to the ingredients, but also to the type of surface treated. In
the case presented here, we assume 0.5 mL/m2 as this was the value for the most similar product in
Michel et al. (2013). However, the emission and exposure characteristics determined for this
420
product may not fully reflect reality as big controversy exist between the data for a silica pump
spray in Michel et al. (2013) and the nanoTiO2 pump spray in Nørgaard et al. (2009). Nørgaard
found that all airborne particles were respirable and below 4 µm in size with peaks in the nanosize
range as they measured the airborne particles behind the spray nozzle. However, the amount of
nanoTiO2 was not quantified. Michel et al. (2013) found that all airborne particles were inhalable
and above 10 µm in size as they measured the emission from the spray nozzle. Many differences
may be ascribed to different test methods and differences in the spray configurations. The
differences call for the need to have specific emission characteristics and source strengths from
specific products.
To consider the relevant worst case, the REACH-based consumer exposure assessment was
completed without taking into consideration that the user should wear gloves and mask and work in
a ventilated area. In the exposure assessment, we assume no mask is used by the consumer and a
100% air-way deposition efficiency, because the published data suggest that the entire airborne
fraction is surely inhalable. As discussed above high uncertainty still exist on the relevant size-
distribution.
The dermal contact exposure was assessed for as inner hands touching a newly treated surface (0.1
mm) with 100% transfer from the exposed area to the hand. This assumption is a worst case
estimate.
Eye and oral exposure was assumed negligible. Oral uptake would come from nanomaterial
deposited in the nose and mouth as well as brought up along the mucusiliary escalator from the
respiratory tract and finally by accidental uptake via inadvertent hand-to-mouth transfer. The
potential for oral exposure by inhalation is however in part covered by assuming 100% of the
inhalational dose (expressed in ug/kg bw/d) is swallowed. Still, the true oral dose may be greater
than the inhaled dose as the dermal dose to inner hand is about 1000 times higher than the inhaled
dose.
Step 6 (for use in WP5)
Consumers may also be exposed to silica from many other types of products.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for
exposure assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA, 2012. Guidance on information requirements and chemical safety assessment.
Chapter R.15: Consumer exposure estimation. Version: 2.1, November 2012.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Michel K, Scheel J, Karsten S, Stelter N, and Wind T, 2013. Risk assessment of
amorphous silicon dioxide nanoparticles in a glass cleaner formulation. Nanotoxicology,
7(5-8), 974-988.
421
Nørgaard, A.W., Jensen, K.A., Janfelt, C., Lauritsen, F.R., Clausen, P.A., and Wolkoff, P.,
2009, Release of VOCs and Particles During Use of Nanofilm Spray Products.
Environmental Science and Technology, 43. 7824-7830, doi: 10.1021/es9019468.
Roberts WO, 2006. Chapter 12 Manufacturing and applications of water-borne colloidal
silica. In HE Bergna and WO Roberts (Eds.) Colloidal Silica: Fundamentals and
Applications. Surfactant Science Series, 131. CRC Press Taylor & Francis Group, FL, USA.
ISBN 0-8247-0967-5. page. 131-176.
Schneider T, Brouwer D, Koponen IK, Fransman W, Jensen KA, van Duuren-Stuurman B,
van Tongeren M & Tielemans E., 2011. Conceptual model for assessment of inhalation
exposure to Manufactured Nanoparticles. Journal of Exposure Science and
Environmental Epidemiology 21, 450–463.
422
Scenario 13 - Product: Air conditioner and air purifier device 8.14
containing nano-silver
Description of exposure scenario:
Is an air filtering device working as an air condition device in a room.
Step 1 Charactherisation and relevant exposure parameters
From the data collected and the conclusions in chapter 4, information regarding the parameters
listed below is filled in.
Parameter Specified
data*
Estimated* Comments/ References
Product
category
Air cleaner
Type of
Product
filterbased
ID of
nanomaterial
Silver As the system is called a nano-health system the silver in the
filter is considered to be on nanoform.
http://www.samsung.com/ph/consumer/learningresources/wa
shingmachine/silver_nano/site.html
Physical
matrix/form of
product
Surface-bound
Package
design, volume
-
Application/us
e/ handling
Air filtering
device that
circulates and
filters air
Location of
nanomaterial
eg. free/
matrix-bound
Filtermatrix
with
embedded of
surface-
bound nano-
silver.
Direct/ indirect
exposure
Indirect
Indoor/
outdoor use
Indoor
Generation of
nanomaterial
during use
no
Specific target
group
(children,
teenagers etc.)
All
Forseeable
misuse
-
Site of contact/
exposure
airborne
423
Primary
exposure
route(s)
inhalation Dermal exposure is theoretically possible in relation to changing
filter or repair work.
Concentratio
n of
nanomaterial
in product
-
Volume of
product used,
exposed to
-
Body area
exposed to
-
Retention
rate on body
surface
-
Migration/lib
eration rate
of
nanomaterial
from matrix
-
Ingested
amount
-
Volume of
product
released to
air /
concentratio
n in air
-
Duration of
exposure
- Up to 24
h/day
Frequency of
exposure
- daily
* “ - “ if not given or not relevant
Step 2 Algorithms for exposure estimation + specific data
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
Concentration in indoor air (mg/m3) of nano-
silver has to be estimated, based on data/ estimates on
release of nano-Ag during the filtering process, see
data below.
Dinhal (mg(kg bw/d) =
Conc air (mg /m3) x Inhalation volume (m3/
bw (kg)/d )
424
Very few data on this scenario is available.
Quadros et al. (2013) investigated the emission from two air humidifiers; a nano-technology based
manual humidifier and one with a conventional silver accessory for the water tank, respectively. The
use-situations were investigated in a 36 m3 room, with carpets and furniture to simulate a bedroom,
and test conditions at less than 25C and 40%RH. ICP-MS analysis of 5 and 17 days old tank water
resulted in 0.8 ppb Ag at 5 days, but not detectable concentrations in 17 days old tank water.
Condensates (300 ml water of atomized over 90 minutes) generated by the table-top humidifier
with the conventional Ag accessory, contained 2.30.4 ppb of Ag (measured as total Ag and most
probably related to dissolved Ag-ions), suggesting a very low exposure level during regular use.
(This corresponds to total liberation into air of 0.69 µg Ag over 90 minutes). No silver was detected
from in the reservoir from the nanotechnology based humidifier. Also the simulated use did not
result in any detectable amounts of particles emitted.
Based on these study results it was concluded that there seem to be a very low –if any- release
potential for silver particles from the air humidifiers.
Step 3 Target groups
Target groups: all ages
Step 4 Exposure estimation
Negligible inhalational exposure is assumed as liberation of silver nanoparticles from the filter is
not expected.
Dermal exposure is considered to be too hypothetical to be further quantitatively estimated.
Step 5 Uncertainties of the described exposure scenario:
According to the product information the filter liberates Ag ions and thus the silver is either surface
bound or embedded in the filter-matrix. There is not specific knowledge whether the silver actually
exist on nanoform. The release of the silver pertains to silver ions from the filter surface.
So overall, no great uncertainties exist that may compromise the assessment of zero to negligible
exposure to nano-silver particles from use of the air conditioner/purifier.
However, this assessment may only pertain to this type of air purification technologies and other
air-purification technologies may exist that may not be covered.
Step 6 (for use in WP5)
Perspectivation of the exposure scenario with respect to:
Air filtering devices containing silver nano-tehcnology for liberating silver ions seems to have little
–if any - potential for release of silver nano-particles into the air.
References
http://www.samsung.com/ph/consumer/learningresources/washingmachine/silver_nano/site.ht
ml
425
Quadros et al. (2013). Release of silver from nanothechnology-based consumer products for
children. Env Sci Tech 47, 8894-8901.
426
Scenario 14 - Product: Disinfectant pump spray containing nano-8.15
Ag
Description of exposure scenario: Spraying an article or surface with a pump spray
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data*
Estimated*
Comments/ References
Product category
dis-infectant spray
http://nanodb.dk/en/products/?keyword=sanitizer http://www.nanotec.pl/en/index.php?go=produkty&id=nanotec_sanitizer http://nanodb.dk/en/products/antibacterial-shoe-deodorizer-with-silver-ions/ http://www.nanotol.de/textilien/123/textol-pro-nanoversiegelung-fuer-schuhe
Type of Product
Antibacterial cleaning agent for fabric and materials
A specific product is described: “Sanitizer NPS 200 is a professional surface disinfector. Sanitizer NPS 200 strongly differs from the traditional products, simply by containing nano-particles of silver. These particles in the process of decontamination of disinfected surfaces penetrate hardly reachable surfaces such the fabric, leather, sponge, crack, micro seasons, cracks, fugue, dilatation, scratches and kill bactericides and fungicides on contaminated surfaces….” http://www.nanotec.pl/en/index.php?go=produkty&id=nanotec_sanitizer
ID of nanomaterial
Ag The products in this product group may sometimes contain ionic silver instead of nano-Ag. The products may, in addition to Ag (either nano-Ag or Ag ions), also in some cases contain other or more than one nano-ingredient (nano-TiO2, nano-silica, nano-ZnO). http://web.archive.org/web/20061004150907/http://www.aircleanermedium.com/Nano-Silver-Photocatalyst.html http://web.archive.org/web/20061029034709/http://www.root-cn.com/pdf/Super-Hydrophile-Self-cleaning-Instruction.pdf
Characterisation, e.g. size distr. Size Crystal form
NA NA NA
Nano-Ag Sizes of nano-Ag were not found specifically reported for any of these products. Nano-Ag can be purchased in many different sizes covering the entire nanoscale and beyond.
Physical matrix/form of product
nano-Ag dispersion in pump spray
Nanoparticles assumed considering the nanoparticle focus of the assessment
Package design, volume
50 mL Larger product volumes are available from different venders
http://www.nanotol.de/textilien/123/textol-pro-nanoversiegelung-fuer-schuhe http://www.nanotec.pl/en/index.php?go=produkty&id=nanotec_sanitizer
Application/u pump
427
se/ handling spray Location of nanomaterial eg. free/ matrix-bound
in liquid suspension
Direct/ indirect exposure
Direct exposure
Indoor/ outdoor use
Indoor/Outdoor
Generation of nanomaterial during use
Yes Both alcohol and water-based “nano-pump-spray” have been shown to generate nanoparticles during use; both with and without presence of solid nanomaterials in dispersion (Nørgaard et al., 2009). – Hence, if the product contains ionic Ag alone, it can be assumed that the dissolved ions will condensate during evaporation of aerosolized solvent droplets during use.
Specific target group (children, teenagers etc.)
Teenagers and Adults
Forseeable misuse
Yes 1) Spraying indoors in room with low ventilation and no personal protection. 2) Not spraying at the correct distance to the object
Site of contact/ exposure
palms Touching and carrying the treated objects. In addition deposition of overspray is possible.
Primary exposure route(s)
Inhalation and dermal
Inhalation and dermal exposure is considered due to overspray and aerosolization during use. Additional dermal exposure could arise from direct spraying on hands while holding an object to be treated as well as from dermal contact with freshly treated objects. General dermal exposure due to overspray and aerosolized product is possible, but not considered further.
Concentration of nanomaterial in product
NA 1% Scientific literature data have shown that two specific disinfectant pump sprays had nano-Ag concentrations of 12.5 and 27.5 ppm Ag (Quadros and Marr, 2011). In another case, a commercially available water-based nano-Ag spray contained 1 wt% nano-Ag (Hagendorfer et al., 2010). Hence, assuming 1 wt% appears to be a reasonable worst case concentration estimate.
Volume of product used, exposed to
NA typically 100 mL
The volume product required depends entirely on the size of the objects treated.
Body area exposed to
Hands Dermal area Men 40<50
Women 40<50 Teen 16-21y
Hands cm2 1118.0 906.2 828.0
Head cm2 1419.0 1170.6 754.4
Total cm2 21500 18880 18400
Nordic Council of Ministers (2011) Retention rate on body surface (1)
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of nanomateri
None
428
al from matrix Ingested amount
Possible Inadvertent ingestion may occur, but the doses are considered very low due to the low frequency consumer use.
Concentration in air/ Volume of product released into air
25 µg Ag/min or 1 µg/ml < 3.4 x 103 particles/cm3
There is no immediate information of the volume required to treat a product. It is assumed that the amount of product required to treat and disinfect is comparable to the amount required to produce a surface coating using this type of product. 10-25 ml/m2 is required of comparable products (not silver based; http://www.nanocover.dk) Assuming a maximum of 25 ml/m2 and that 4 m2 will be treated, 100 ml of product would be required. We assume 1 ml per pump for this product and a total dispensing time of 4 minutes. The average use-rate is then 25 mL/min (equal to 25 g/min). Assuming that the solvent is water and the nano-Ag content is 1 wt%, the total use rate nano-Ag is 250 mg/min (2.75 mg per minute if the Ag-concentration in the surface disinfectant spray in Quadros and Marr (2011) is used). Using the air-concentration for silane and siloxane in Nørgaard et al. (2009) and neglecting that a fraction of these compounds are semivolatile, a total of up to 0.01 wt% was released to air during use of pump sprays. This results in an upper aerosol release rate of concentration of (250 mg Ag/min x 0.01 wt% / 100) 25 µg/min. Nørgaard et al. (2009) determined a respirable aerosol generation of 3.1 x 108 particles/g for a water-based pump spray with ca. 1 wt% TiO2. However, this is the entire concentration of aerosolized droplets with nano-TiO2 and not the nano-TiO2 particle concentration. Use of a different product with comparable release rate in an un-ventilated 17. 4 m3 room was estimated to give a peak concentration 6 x 103 particles/cm3 (authors’ correction) by treating 7 m2 surface. Direct scaling to 4 m2 would result in 3.4 x 103 particles/cm3.
Duration of exposure
10 min 5 min
inhalation dermal (hand exposure)
Frequency of exposure
once per week
There appears to be no information on recommended use and frequency on the internet. We assume application for general cleaning with a weekly use rate.
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
429
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation
exposure
Use of a different product with comparable release rate in
an un-ventilated 17. 4 m3 room was estimated to give a peak
concentration 6 x 103 particles/cm3 by treating 7 m2 surface.
Direct scaling to 4 m2 would result in 3.4 x 10
3 particles/cm
3
(Authors’ correction to Nørgaard et al., 2009).
A mass-based assessment of the inhalation exposure is
made using the traditional Tier 1 estimation of inhaled dose
in R.15 (ECHA, 2011):
nBW
TIHCFD
contactairinhresp
inh
Input
parameter Description Units
Cinh Concentration of substance in air of room
[mg/m3]
Fresp Respirable fraction of inhaled substance (default 1)
[-]
IHair Ventilation rate of person
[m³/d]
Tcontact Duration of contact per event (default 1 day)
[d]
BW Body weight [kg]
N Mean number of events per day
[/d]
Output parameter
Description
Dinh Inhalatory dose (intake) of substance per day and body weight
[mg/kg BW d]
aveinhC , (mg/m3) was calculated according to:
10/6 min4,,
inh
iaveinh C
V
tRC , for it = 1, 2,
3, 4
where R = emission rate [ 25 µg/min], Cinh,4min = peak
concentration reached after 4 min spraying; t = time [min],
and
V = Room volume [m3].
Using the above-mentioned estimated release rate of 1
µg/ml and a total exposure time of 10 min (effective
spraying for 4 minutes in a 20 m3 un-ventilated room
Nørgaard et
al. (2009)
ECHA (2011)
430
(according to R.15 version 2.1; 2012)) adding 6 minutes for
wiping, aveinhC , reaches:
4.25 µg Ag/m3 (peak value = 5 µg/m3 from 4 to 10 min) for a
total of 10 min exposure.
Dermal
overspray
exposure
No applicable model
Dermal contact
exposure
The external dermal load (Lder) and dose (Dder) at direct contact the
procedure by ECETOC TRA Equation R.15-5, 15-6 and 15.7 (ECHA,
2012):
D
CCTHCcmmgL
prod
derderderder
1000/
BW
nALkgmgD skinder
BWder /
Lder: Amount of substance on skin per event (mg/cm2)
Cder: Dermal concentration of substance on skin (mg/cm2)
Dder: Dermal dose (mg/kgBW)
THder: Thickness of product on layer (assumed 0.001 cm)
Cprod: Concentration of substance in product before dilution (g/cm3)
D: Dilution factor (1 if not diluted)
Askin: Surface of exposed skin (cm2)
n: Mean number of events per day
BW: Body weight (kg)
ECHA (2012)
Oral exposure
Not assessed directly, but the inhaled exposure dose is the
upper limit for gastro-intestinal exposure dose.
Eye exposure
Relevant, but not assessed
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
431
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (male)
60 kg (female)
71.6 (16-<21
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (hand,
head):
(male and female 41
- <51 years old;
teenager 16 - <21
years old)
50% of hand area Total regional dermal areas
Nordic Council of Ministers (2011)
Dermal area
Men 40<50
Women 40<50
Teen 16-21y
Hands; cm2 1118.0 906.2 828.0
Total; cm2 21500 18880 18400
Density 1 g/cm3 For the spray product
Daily amount NA
Application per year 52 Once every week
Amount which may
get in contact with
skin through
splashes or direct
contact.
Assessed from the
area of the hands
Concentration of
nanomaterial in
product
<1% For assessment, a concentration of 1 wt% was used.
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
0.1 mm
100%
In accordance with R.15 v. 2.1 (ECHA, 2012)
Other relevant parameters, which are not used in the exposure assessment.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Ventilation rate
Agglomeration (coagulation)
Surface deposition
Deposition efficiencies in the airways
Schneider et al.
(2011)
Dermal exposure Physico-chemical form of the nanomaterial if the
product contains ionic Ag instead of nano-Ag
Oral Physico-chemical form of the nanomaterial if the
product contains ionic Ag instead of nano-Ag
Eye Physico-chemical form of the nanomaterial if the
product contains ionic Ag instead of nano-Ag
432
Step 4
This section describes and explains the calculation of exposure:
Male Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgµgkg
daymm
µg
nBW
TIHCFD maleBW
contactairinhresp
inh ,
3
3
/017.0170
24
6
1
32.4025.41
Annual inhaled dose for one treatment per week: 52 x 0.017 µg/KgBW,maleday =
0.881
µg/KgBW,maleYear
Considering the particle number concentrations (17.4m3 /20 m3) x 6 x 103 particles/cm3) from
Nørgaard et al. (2009) the annual inhaled dose would be on the order of:
2.71 x 105
n//KgBW,maleYear
Dermal contact dose (inner side of hands):
23
2 /25001.01
1000251000/ cmµgcm
µg
D
CCTHCcmmgL
prod
derderderder
maleBWskinder
BWder kgµgkg
cmcm
µg
BW
nALkgmgD ,
2
2
/6.19970
11185.025
/
(per case)
Considering weekly use the annual dermal dose is 52 x 199.6 µg/kgBW,male = 10.38 mg/kgBW,maleYear
Female Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgµgkg
daymm
µg
nBW
TIHCFD femaleBW
contactairinhresp
inh ,
3
3
/0198.0160
24
6
1
32.4025.41
433
Annual inhaled dose for one treatment per week: 52 x 0.0198 µg/KgBW,femaleday =
1.03
µg/KgBW,female,yea
r
Considering the particle number concentrations (17.4m3 /20 m3) x 6 x 103 particles/cm3) from
Nørgaard et al. (2009) the annual inhaled dose would be on the order of:
2.71 x 105
n//KgBW,femaleYear
Dermal contact dose (inner side of hands):
23
2 /25001.01
1000251000/ cmµgm
µg
D
CCTHCcmmgL
prod
derderderder
BWskinder
BWder kgµgkg
cmcm
µg
BW
nALkgmgD /8.188
60
2.9065.025
/
2
2
(per case)
Considering weekly use the annual dermal dose is 52 x 188.8 µg/kgBW,male = 9.817
mg/kgBW,femaleYear
Teenager (16 - <21 years):
Inhaled Dose: Respiration rate 0.026 m3/min for moderate intensity; body-weight = 71.6 kg
(Nordic Minister Council report; 2012):
daykgµgkg
daymm
µg
nBW
TIHCFD teenBW
contactairinhresp
inh ,
3
3
/0154.016.71
24
6
1
44.3725.41
Annual inhaled dose for one treatment per week: 52 x 0.0154 µg/KgBW,teenday =
0.803
µg/KgBW,female,yea
r
Considering the particle number concentrations (17.4m3 /20 m3) x 6 x 103 particles/cm3) from
Nørgaard et al. (2009) the annual inhaled dose would be on the order of:
2.71 x 105
n//KgBW,teenYear
434
Dermal contact dose (inner side of hands):
23
2 /25001.01
1000251000/ cmµgcm
µg
D
CCTHCcmmgL
prod
derderderder
teenBWskinder
BWder kgµgkg
cmcm
µg
BW
nALkgmgD ,
2
2
/6.1446.71
8285.025
/
(per case)
Considering weekly use the annual dermal dose is 52 x 144.6 µg/kgBW,male = 7.52 mg/kgBW,teenYear
Summary Table: Estimated inhalation and dermal dose for females, males and teenagers during use
of a nano-Ag disinfectant spray.
Ag
disinfecta
nt spray
Adult,
female (60 kg)
male (70 kg)
Teen (56.8 kg)
(1621 years)
Inhalatio
n
[µg/kgDa
y]
Dermal
overspray
[mg/kgDa
y]
Dermal
contact
[mg/kgDa
y]
Inhalatio
n
[µg/kgDa
y]
Dermal
overspray
[mg/kgDa
y]
Dermal
contact
[mg/kgDa
y]
f 0.0198
m 0.0170 NA
0.189
0.200 0.0154 NA 0.145
Ag
disinfecta
nt spray
Adult,
female (60 kg)
male (70 kg)
Teen (56.8 kg)
(1621 years)
Inhalation
[mg/kgYe
ar]
Dermal
overspray
[mg/kgYe
ar]
Dermal
contact
[mg/kgYe
ar]
Inhalatio
n
[µg/kgYe
ar]
Dermal
overspray
[mg/kgYe
ar]
Dermal
contact
[mg/kgYe
ar]
f 1.030
m 0.881 NA
9.82
10.38 0.803 NA 7.52
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
Little information is available on the Ag actually used in this type of product. However, it is known
that nano-Ag is used is some of the products and it might be generated during spraying. No data are
available on the characteristics on the nano-Ag in the specific case and still limited high-quality
information exist on the exposure characteristics and source strengts from consumer products. In
435
this case, we assume a content of 1 wt% nano-Ag in the pump spray, which is considered reasonably
worst case.
The assessment of inhalation exposure levels should be considered with some care as it arise from
read-across from different pump spray products. There is a high need to establish data on products
with specific relevance for this product group. In the inhalation scenarios, the airborne exposure
concentrations are set based on assumptions of use, concentrations in the product and information
from published experimental results on typical nano-Ag concentrations, relevant and partially
analogues emission and exposure data. Overall, combined the assumptions on the product and
exposure characteristics are assumed reasonable to worst case.
On relative scale, the exposure doses can, however, be considered worst case. The exposure was
assessed without taking into consideration that the user should wear gloves and mask and work in a
ventilated area. Real exposure measurement data on this product group do not exist at this point in
time. In the exposure assessment, we assume no mask is used by the consumer and a 100% air-way
deposition efficiency, because the published data suggest that the entire airborne fraction is
respirable.
The dermal contact exposure was assessed for a case where the inner side of the hands touched a
newly treated surface (0.1 mm) with 100% transfer from the exposed area to the hand. This
assumption appears to be a worst case estimate. In addition to direct contact, dermal exposure may
also arise from overspray. The level of overspray was not assessed as no model is yet appropriate for
assessment of this type of product.
Eye and oral exposure was assumed negligible. Oral uptake would come from nanomaterial
deposited in the nose and mouth as well as brought up along the mucusiliary escalator from the
respiratory tract and finally by accidental uptake via inadvertent hand-to-mouth transfer.
Step 6 (for use in WP5)
The current scenario is considered relevant and realistic for this type of product.
Consumers may also be exposed from nano-Ag from many other types of products.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA, 2012. Guidance on information requirements and chemical safety assessment. Chapter R.15:
Consumer exposure estimation. Version: 2.1, November 2012.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nørgaard, A.W., Jensen, K.A., Janfelt, C., Lauritsen, F.R., Clausen, P.A., and Wolkoff, P.,
2009, Release of VOCs and Particles During Use of Nanofilm Spray Products.
Environmental Science and Technology, 43. 7824-7830, doi: 10.1021/es9019468.
Quadros ME, and Marr LC. 2011. Silver Nanoparticles and Total Aerosols Emitted by
Nanotechnology-Related Consumer Spray Products. Environ. Sci. Technol 45,10713-10719.
436
Schneider T, Brouwer D, Koponen IK, Fransman W, Jensen KA, van Duuren-Stuurman B, van
Tongeren M & Tielemans E., 2011. Conceptual model for assessment of inhalation exposure to
Manufactured Nanoparticles. Journal of Exposure Science and Environmental Epidemiology 21,
450–463.
437
Scenario 15 - Product: Disinfectant multipurpose sanitizer with 8.16
Nano-Ag (Propellant spray)
Description of exposure scenario: Case 15: Spraying a 4 m2 textile with pressurized spray
can
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data*
Estimated*
Comments/ References
Product category
deoderizer / dis-infectant spray
http://www.nanotechproject.org/cpi/products/air-sanitizer-nano-silver-
photocatalyst/ http://web.archive.org/web/20061004150907/http://www.aircleanermedium.c
om/Nano-Silver-Photocatalyst.html
Type of Product
Antibacterial cleaning agent and cleaning for fabric and materials
The products in this product group may sometimes contain ionic silver instead of nano-Ag. The products may, in addition to Ag (either nano-Ag or Ag ions), also in some cases contain other or more than one nano-ingredient (nano-TiO2, nano-silica, nano-ZnO). http://web.archive.org/web/20061004150907/http://www.aircleanermedium.com/Nano-Silver-Photocatalyst.html http://web.archive.org/web/20061029034709/http://www.root-cn.com/pdf/Super-Hydrophile-Self-cleaning-Instruction.pdf A website describes the uses as primarily textiles, but also, purifying accessible indoor office and household goods, such as telephone, computer keyboard, mouse, table, cabinet, chair, armrest, doorknob, lamps and lanterns and button of elevator, etc. http://web.archive.org/web/20061004150907/http://www.aircleanermedium.com/Nano-Silver-Photocatalyst.html
ID of nanomaterial
Ag Sizes of nano-Ag were not found specifically reported for any of these products. Nano-Ag can be purchased in many different sizes covering the entire nanoscale and beyond.
Characterisation, e.g. size distr. Size Crystal form
NA NA NA
Nano-Ag Nanoparticles assumed considering the nanoparticle focus of the assessment
Physical matrix/form of product
nano-Ag pressurized spray can
http://web.archive.org/web/20061029034709/http://www.root-cn.com/pdf/Super-Hydrophile-Self-cleaning-Instruction.pdf
Package design, volume
100-1000 mL
http://web.archive.org/web/20061004150907/http://www.aircleanermedium.com/Nano-Silver-Photocatalyst.html
Application/use/ handling
Spray
Location of nanomaterial eg. free/ matrix-bound
in liquid suspension
Direct/ indirect exposure
Direct exposure
438
Indoor/ outdoor use
Indoor
Generation of nanomaterial during use
yes Spray cans have been shown to generate nanoparticles during use (Nørgaard et al., 2009). – Hence, if the product contains ionic Ag alone, it is assumed that the dissolved ions will condensate during evaporation of aerosolized solvent droplets during use.
Specific target group (children, teenagers etc.)
Adults and teenagers
Forseeable misuse
Yes 1) Spraying indoors in room with low ventilation and no personal protection. 2) Not spraying at the correct distance to the object
Site of contact/ exposure
Direct surface contact by unprotected hands,
Touching or carrying treated objects
Primary exposure route(s)
Inhalation and dermal
Inhalation and dermal exposure is considered due to overspray and aerosolization during use. Additional dermal exposure could arise from direct spraying on hands while holding an object to be treated as well as from dermal contact with freshly treated objects. General dermal exposure due to overspray and aerosolized product is possible, but not considered further due to lack of suitable model for this type of product.
Concentration of nanomaterial in product
NA 1% No specific information was found. Scientific literature data have shown that two specific disinfectant pump sprays had nano-Ag concentrations of 12.5 and 27.5 ppm Ag (Quadros and Marr, 2011). In another case, a commercially available water-based nano-Ag spray contained 1 wt% nano-Ag (Hagendorfer et al., 2010). Hence, assuming 1 wt% appears to be a reasonable concentration estimate. Higher concentrations may be possible, but have not been observed in this survey. Consequently 1 wt% may be assumed a worst case.
Volume of product used, exposed to (1)
NA typically 100 mL
The volume product required depends entirely on the size of the objects treated.
Body area exposed to (1)
Hands Dermal area Men 40<50
Women 40<50 Teen 16-21y
Hands cm2 1118.0 906.2 828.0
Head cm2 1419.0 1170.6 754.4
Total cm2 21500 18880 18400 Nordic Council of Ministers (2011)
Retention rate on body surface (1)
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of nanomaterial from matrix
None
Ingested Possible Inadvertent ingestion may occur, but the doses are considered
439
amount very low for rare consumer use. Concentration in air/ Volume of product released into air
NA (1 g/min nanoAg is assumed dispensed from spray can towards the surface)
There is no immediate information of the volume required to treat a product. It is assumed that the amount of product required to treat and disinfect is comparable to the amount required to produce a surface coating using this type of product. 10-25 ml/m2 is required of comparable products (not silver based; http://www.nanocover.dk) Assuming a maximum of 25 ml/m2 and that 4 m2 will be treated, 100 ml of product would be required. It is assumed that the spray can will deliver the product four times faster as compared to pump sprays resulting in a total dispensing time of 1 minute (see scenario 14). Hence, the spray can deliver 100 mL/min (equal to 100 g/min). Assuming that the solvent is water and the nano-Ag content is 1 wt%, the total use rate nano-Ag is then 1 g/min
Duration of exposure
10 min 1 times
inhalation dermal (hand exposure)
Frequency of exposure
once every year
A specific nanoproduct claims that the treated textile may be washed 50 times and still retaining more then 95% efficiency. http://web.archive.org/web/20061004150907/http://www.aircleanermedium.com/Nano-Silver-Photocatalyst.html
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure
route
Algorithms used Comments/
References
Inhalation
exposure
Spray cans have been shown to generate nanoparticles during
use (Nørgaard et al., 2009). Without any quantitative
comparison use of a pressurized spray resulted in 100 times
higher particle concentrations and much smaller nano-size
particles than three pump sprays with different compounds
(Nørgaard et al., 2009) – Hence, if the product contains ionic
Ag alone, it is assumed that the dissolved ions will condensate
during evaporation of aerosolized solvent droplets during use.
Hagendorfer et al. (2010) also observed testing water-based
nano-Ag spray can and pump sprays that the emission
increased from not measurable using pump spray to high
using pressurized spray cans with nanoAg. Care should be
taken in analysing just the number of particles as this study
showed a high fraction of condensates in the test of a
reference spray-can without nano-Ag. The specific nanoAg
particles were emitted as nano-size free and agglomerated
particles. 14,000 particles/cm3 with a peak size around 25 nm
was measured shortly after spraying into a 300 L glove box
with a very high air-exchange rate and background aerosol
concentrations of ca. 500 particles/cm3.
Nørgaard et al.
(2009)
Hagendorfer et
al. (2010)
440
Dermal
overspray
exposure
No applicable model
Dermal contact
exposure
The external dermal load (Lder) and dose (Dder) at direct
contact the procedure by ECETOC TRA Equation R.15-5, 15-6
and 15.7 (ECHA, 2012):
D
CCTHCcmmgL
prod
derderderder
1000/
BW
nALkgmgD skinder
BWder /
Lder: Amount of substance on skin per event (mg/cm2)
Cder: Dermal concentration of substance on skin (mg/cm2)
Dder: Dermal dose (mg/kgBW)
THder: Thickness of product on layer (assumed 0.001 cm)
Cprod: Concentration of substance in product before dilution
(g/cm3)
D: Dilution factor (1 if not diluted)
Askin: Surface of exposed skin (cm2)
n: Mean number of events per day
BW: Body weight (kg)
ECHA (2011)
Oral exposure
Not assessed directly, but the inhaled exposure dose is the
upper limit for gastro-intestinal exposure dose.
Eye exposure
Relevant, but not assessed
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (male)
60 kg (female)
71.6 (16-<21
years)
Nordic Council of Ministers (2011)
441
Retention rate 1
Skin surface (hand,
head):
(male and female 41
- <51 years old;
teenager 16 - <21
years old)
50% of hand area Total regional dermal areas
Nordic Council of Ministers (2011)
Dermal area
Men 40<50
Women 40<50
Teen 16-21y
Hands; cm2 1118.0 906.2 828.0
Total; cm2 21500 18880 18400
Density 10.5 g/cm3 webmineral.com
Daily amount NA
Application per year 1 Once every year
Amount which may
get in contact with
skin through
splashes or direct
contact.
Assessed from the
area of the hands
Concentration of
nanomaterial in
product
<1% For assessment, a concentration of 1 wt% was used.
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
0.1 mm
100%
In accordance with R.15 v. 2.1 (ECHA, 2012)
Other relevant parameters not considered in the exposure assessment models.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Ventilation rate
Agglomeration (coagulation)
Surface deposition
Deposition efficiencies in the airways
Schneider et al.
(2011)
Dermal exposure Physico-chemical form of the nanomaterial if not a
chemical
Oral Relevant, but not assessed
Eye Relevant, but not assessed
Step 4
This section describes and explains the calculation of exposure:
Male Adult (41 - <51):
No inhalation exposure estimations have been made due to high uncertainty in the emission
characteristics. The emission rate from using a spray can is very specific to the product and vary
with, among others, the type of propellant, nozzle-configuration, pressure in the spray an, presence
of condensable matter etc.
442
Dermal contact dose (inner side of hands):
23
2 /25001.01
1000/251000/ cmµg
cmµg
D
CCTHCcmmgL
prod
derderderder
maleBWskinder
BWder kgµgkg
cmcmµg
BW
nALkgmgD ,
22
/6.19970
11185.0/25/
(per case)
The product type is normally applied to stay on the product or surface for longer durations of time
and treatment will be repeated when needed. Product indications suggest that treatment is needed
once per year. Consequently, the daily dose per case is also the annual dose.
Female Adult (41 - <51):
No inhalation exposure estimations have been made due to high uncertainty in the emission characteristics. The emission rate from using a spray can is very specific to the product and vary with a.o. the type of propellant, nozzle-configuration, pressure in the spray an, presence of condensable matter etc.
Dermal contact dose (inner side of hands):
23
2 /25001.01
1000/251000/ cmµg
cmµg
D
CCTHCcmmgL
prod
derderderder
femaleBWskinder
BWder kgµgkg
cmcm
µg
BW
nALkgmgD ,
2
3
/8.18860
2.9065.025
/
(per case)
The product type is normally applied to stay on the product or surface for longer durations of time
and treatment will be repeated when needed. Product indications suggest that treatment is needed
once per year. Consequently, the daily dose per case is also the annual dose.
Teenager (16 - <21 years):
No inhalation exposure estimations have been made due to high uncertainty in the emission characteristics. The emission rate from using a spray can is very specific to the product and varies with a.o. the type of propellant, nozzle-configuration, pressure in the spray can, presence of condensable matter etc.
Dermal contact dose (inner side of hands):
23
2 /25001.01
1000/251000/ cmµg
cmµg
D
CCTHCcmmgL
prod
derderderder
teenBWskinder
BWder kgµgkg
cmcmµg
BW
nALkgmgD ,
22
/6.1446.71
8285.0/25/
(per case)
The product type is normally applied to stay on the product or surface for longer durations of time
and treatment will be repeated when needed. Product indications suggest that treatment is needed
once per year. Consequently, the daily dose per case is also the annual dose.
443
Summary Table: Estimated inhalation and dermal dose for females, males and teenagers during use
of a nano-Ag disinfectant pressurized spray-can.
Ag
disinfectan
t spray
Adult,
female (60 kg)
male (70 kg)
Teen (56.8 kg)
(1621 years)
Inhalation
[µg/kgYear
]
Dermal
overspray
[mg/kgYear
]
Dermal
contact
[mg/kgYear
]
Inhalation
[µg/kgYear
]
Dermal
overspray
[mg/kgYear
]
Dermal
contact
[mg/kgYear
]
NA NA
f 0.189
m 0.200 NA NA 0.145
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
Little information is available on the form of the Ag actually used in this type of product. However,
it is known that nano-Ag is used is some of the products and it might be generated during spraying
if present at ionic Ag. No data are available on the characteristics on the nano-Ag in the specific case
and still limited high-quality information exist on the exposure characteristics and source strengts
from consumer products.
It was decided not to estimate the airborne exposure due to lack of appropriate data. There are
some indications from previous studies, but the variability between emissions from pump sprays to
pressurized spray cans are great and also expected to be some in between pressurized spray cans.
Based on pump-spray data and experience from other types spray cans, nano-size particles will be
released or formed during use of a spray can and result in relatively high exposure levels. However,
the fraction and behaviour of the nano-Ag or ionic Ag during spraying is not described and the
emission rate from the product is not known. This is considered a significant information gap in
relation to a potentially very high consumer exposure situation. There is a high need to establish
data on products with specific relevance for this product group.
The dermal exposure was assessed without taking into consideration that the user should wear
gloves. The dermal contact exposure was assessed for a case where the inner side of the hands
touched a newly treated surface (0.1 mm) with 100% transfer from the exposed area to the hand.
This assumption appears to be a worst case estimate.
Again, overspray exposure is possible, but it is not possible to assess the dose due to this effect
without a proper model or data.
Eye and oral exposure was assumed negligible. Oral uptake would come from nanomaterial
deposited in the nose and mouth as well as brought up along the mucusiliary escalator from the
respiratory tract and finally by accidental uptake via inadvertent hand-to-mouth transfer.
444
Step 6 (for use in WP5)
In general, limited information is available for assessing exposures and thereby risks from
application of nanomaterial containing propellant sprays. This is considered a significant
information gap to be addressed in WP5.
Consumers may also be exposed from nano-Ag from many other types of products.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA, 2012. Guidance on information requirements and chemical safety assessment. Chapter R.15:
Consumer exposure estimation. Version: 2.1, November 2012.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nørgaard, A.W., Jensen, K.A., Janfelt, C., Lauritsen, F.R., Clausen, P.A., and Wolkoff, P.,
2009, Release of VOCs and Particles During Use of Nanofilm Spray Products.
Environmental Science and Technology, 43. 7824-7830, doi: 10.1021/es9019468.
Schneider T, Brouwer D, Koponen IK, Fransman W, Jensen KA, van Duuren-Stuurman B, van
Tongeren M & Tielemans E., 2011. Conceptual model for assessment of inhalation exposure to
Manufactured Nanoparticles. Journal of Exposure Science and Environmental Epidemiology 21,
450–463.
445
Scenario 16 - Product: T-shirt containing nano-Ag 8.17
Description of exposure scenario:
Wearing a T-shirt with nano-Ag in a textile fiber matrix.
Step 1
From chapter 5.6 the most relevant data for this scenario is considered the data by Goetz et al.
(2013) supported by the data from the Danish EPA (2012) as these exposure scenarios are based on
the measured migration of Ag into artificial sweat.
Parameter Specified data* Estimated* Comments/ References
Product category Textile, clothing
Type of Product T-Shirt e.g.:
http://www.alibaba.com/produc
t-detail/Silberschutz-Nano-
Silver-Top-Short-
sleeve_100281477.html
ID of nanomaterial Ag Ag as nanoparticles according to
manufacturer (Goetz et al. 2013)
Characterisation e.g. size distr. - - No specific information given by
Goetz et al. (2013).Often textiles
claimed as nano-enabled do not
contain nanoparticles**
Physical matrix/form of product Textile matrix According to Danish EPA
(2012). Metallic silver or silver
salts (in the form of particles or
threads) may either be
embedded in the textile fiber or
surface coat the fiber. The
particles may be up to 10,000
nm in diameter.
Package design, volume T-shirt
Application/use/ handling Wearing of aT-shirt
Location of nanomaterial eg. free/
matrix-bound
Surface
attached or
embedded in
textile fiber
Direct/ indirect exposure Indirect by
migration or
detachment of
particles
Indoor/ outdoor use both
Generation of nanomaterial during
use
Migration of
nano-Ag or
formation of
nanoparticle
s from
precipitation
of soluble
Ag-ions
cannot be
About 50 % of the amount of
migrated Ag was as particulates
< 450 µm mainly as AgCl (Goetz
et al. 2013).
(Scanning transmission electron
microscopy for size and Energy-
dispersive X-ray spectroscopy
for chemical ID)
446
excluded.
Specific target group (children,
teenagers etc.)
Children and adults
Forseeable misuse - - -
Site of contact/ exposure Dermal Mouthing of part of T-shirt may
occur e.g. by children.
The potential for inhalational
exposure is considered more
speculative and is judged to be
negligible.
Primary exposure route(s) Dermal
Concentration of nanomaterial
in product
183 µg Ag/ g
(Goetz et al. 2013)
Volume of product used,
exposed to (1)
64 g/89 g Weight of female/ male T-shirt
(Goetz et al. 2013)
Body area exposed to 6900 cm2/ 9800cm2 Surface area exposed by T-shirt
(females/males) (Goetz et al.
2013)
Retention rate on body surface 1
Migration/liberation rate of
nanomaterial from matrix
43 µg dissolved Ag/
g textile/ L artificial
sweat
and
31 µg particulate
Ag/ g textile/ L
artificial sweat
(particulates <
450 nm)
(added value of 74
µg Ag/ g textile/ L
artificial sweat)
(120 ml artificial sweat used per
g textile for an incubation
duration of 30 minutes) (Goetz
et al. 2013)
Ingested amount - Not determined by Goetz et al.
(2013)
Concentration in air/
Volume of product released
into air
-
Duration of exposure 1 hr
Soaked T-shirt with maximum
migration potential. Is not
considered to be worn more
than 1 hour by Goetz et al.
(2013).
Frequency of exposure 1/d
May be used on a daily basis,
however the migration may be
lowered after the first time use
as washing may wash out the
silver.
447
* Use “ - “ if not given or not relevant
Step 2 Algorithms
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation exposure
Inhalation exposure is in theory possible in connection
with inhalation of dust liberated from the textile,
however, exposure from this route is considered
marginal.
Danish EPA
(2012)
Dermal exposure
E (µg/kg) = mtextile x asubst x rsweat x texpo x Aexpo x
fcontact / mbw
Where
E = ….
mtextile = weight of the textile (g)
asubst = released amount of substance from
fabric into sweat (µg/g/ml)
rsweat = released volume of sweat per time and
body weight (mL/min/m2; 1.8 and 1.25
mL/min/m2 used for males and females)
texpo = duration of exposure (min)
Aexpo = body surface area covered by the fabric
(m2)
fcontact = fraction of fabric in close contact with
sweat and skin (a value of 1 is used)
mbw = body weight (kg; 77 kg and 62 kg used
for men and women)
Dermal load = E (µg/kg) x mbw / Aexpo
(Goetz et al.
2013)
Oral exposure
Oral exp = Ag migration textile / bw
Oral exp: µg/kg
Ag migration textile: total Ag migration from sucked
textile (µg)
bw: bodyweight
Eye exposure
-
448
Step 3 Target groups
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: adult and children
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 62 kg / 77 kg
(female/male)
18.6 kg (average
for 3-6 year-
old- children)
(Goetz et al. 2013)
Nordic Council of
Ministers, (2011)
Inhalation rate
Skin surface (site of contact) 6900 cm2/
9800cm2
(female/male)
Specific behaviour (duration for
e.g. mouthing of children)
Children:
Sucking a textile
surface area of
10 cm x 10 cm
No scenario for mouthing
was performed by Goetz
et al. 2013)
assumed
Others
Step 4 Exposure estimation
Dermal exposure
E (µg/kg) = mtextile x asubst x rsweat x texpo x Aexpo x fcontact / mbw
Females:
449
E (µg/kg) = 64 g x 74x10-3 µg Ag/g/ml x 1.25 ml/min/m2 x 60 min x 0.69 m2 x 1 / 62 kg = 4.0 µg
Ag/kg
Males:
E (µg/kg) = 89 g x 74x10-3 µg Ag/g/ml x 1.8 ml/min/m2 x 60 min x 0.98 m2 x 1 / 77 kg = 9.0 µg
Ag/kg
Dermal load
Dermal load = E (µg/kg) x mbw / Aexpo
Females:
Dermal load = 4.0 µg Ag/kg x 62 kg/ 6900 cm2 = 0.036 µg Ag/cm2
Males:
Dermal load = 9.0 µg Ag/kg x 77 kg/ 9800 cm2 = 0.071 µg Ag/cm2
It may be noticed that male exposure is about twice the female exposure. This is due to the
increased rate of sweating and the considerable higher body surface area in contact with the T-shirt.
Thus the male exposure may be considered as a worst case exposure.
Children:
Most probably dermal exposure to children would be lower than females as children have lower
sweat rates than adults (Yeargin 2012).
Oral Exposure
Oral exp = Ag migration textile / bw
Although not considered by (Goetz et al. 2013) a scenario for sucking the upper part of the T-shirt
by children may be derived.
Target population:
Assuming a child weighing 18.6 kg (average for 3-6 year-old- children).
Scenario:
Assuming a child sucking a total area of 100 cm2 (10 x 10 cm2) and assuming the same
migration rate of 74 µg Ag/ g textile/ L as found by Goetz et al. (2013).
Weight of 100 cm2 T-shirt:
6900 cm2 of a female T-shirt weighs 64 g
i.e. 1 cm2 textile weighs 9.3 mg
i.e.
100 cm2 of a T-shirt weigh 930 mg = 0.93 g
450
Migration of Ag from 100 cm2 (930 mg):
A migration rate of 74 µg Ag/ g textile/ L artificial sweat was found after incubation in 120
ml of migration liquid contained
Thus a total amount of 0.120 L x 74 ug Ag/ g textile/ L = 8.88 µg Ag/ g textile was
migrated
From 100 cm2 (0.93 g) this correspond to a migration of 0.93 g x 8.88 ug Ag/ g textile =
8.3 µg Ag
Oral exposure estimate:
Oral exp = 8.3 µg Ag/ 18.6 kg = 0.45 µg Ag/kg
Step 5 Uncertainties of the described exposure scenario:
In general there is a great uncertainty whether textile claimed to contain nano-Ag actually contain
silver in nanoform either as metallic silver or silver salts Thus the Danish EPA (2012) found that
only 1 out of 12 textile products actually contained Ag in nanoform. Also migration of silver from the
textile may be greatly affected by the ID of the silver (metallic silver og silver salts) or to which
extent the silver (or silver salts) are embedded in or surface coated to the textile fibers.
The above estimates are based on migration from a new T-shirt. When using on a daily basis after
washing the exposure is assumed to be significantly lower as migration typically decrease over time
as the silver content is gradually washed out. Thus, when using the calculated vales for continuous
exposure this should clearly be considered as worst case estimates.
Furthermore most publication do not discriminate between the form of silver and measure the
migration of silver from textile as total silver content (i.e dissolved + particulate silver) which makes
it difficult to estimate the actual nano-Ag exposure.
The above calculation is based on total silver and will therefor to a great extent overestimate the
exposure to nano-Ag particles liberated from the textile. The derived estimates may therefore be
considered as an upper bond and a very conservative estimate for the nano-Ag exposure both in
relation to the dermal as well as the oral exposure.
This specific exposure estimate derived from Goetz et al. (2013) with specific data on migration
from on T-shirt may not necessarily represent a worst case as other T-shits on the market may have
a higher potential for migration. However, the present estimate is considered to be supported by
previous estimates:
It should be noted that the estimates for T-shirt exposure of 4.0 and 9.0 µg Ag/kg for female and
males are very comparable to the exposure estimation made by the Danish EPA (2012) of 12.7 µg
Ag/kg for a young girl wearing a tank-top (containing 12 µg Ag/ g textile). This estimation was also
based on migration data in artificial sweat.
Modelling by using ECETOC TRA and Consexpo resulted in exposure of 10.5 and 34.6 µg Ag/kg for
adults from a T-shirt containing 10 µg Ag/g textile. In this estimate an overall Ag migration rate of
45% from the textile was assumed as a worst case (NANEX 2010).
Step 6 (information for WP5)
Goetz et al. (2013) also evaluated exposure to sport trousers and found additional dermal exposure
of around 6 and 9 µg Ag/kg for females and males, respectively. This corresponds to a T-shirt +
trousers combined exposure of around 10 and 18 µg Ag/kg.
451
Goetz et al. (2013) stated, however, that nano-Ag exposure from hand cream containing up to 0.1%
silver may lead to a much higher dermal exposure of up to 4.8 mg Ag/day (i.e around 70 µg Ag/kg).
Dermal exposure to nano-Ag may also occur in connection to the use of specific wound dressing
primarily for treating burns.
Further dermal exposure to nano-Ag may occur in connection with using indoor paint containing
nano-Ag or using air cleaner spray contaning nano-Ag.
Oral exposure to silver includiong nano-silver may occur from the use of food supplement
containing colloid silver or from migration of silver from food packing material into the food items.
References
Danish EPA 2012. Assessment of nanosilver on textiles on the Danish market. Environmental
Project No 1432. 77 pp + appendices.
Goetz NV, Lorenz C, Windler L, Nowack B, Heuberger M, and Hungerbühler K. 2013. Migration of
Ag- and TiO2-(Nano)particles from Textiles into Artificial Sweat under Physical Stress:
Experiments and Exposure Modeling. . Environ. Sci. Technol. 47, 9979-9987
Nanex 2010. Development of Exposure Scenarios for Manufactured Nanomaterials). Work package
4 report on consumer exposure. http://www.nanex-project.eu/mainpages/public-
documents/doc_download/101-nanex-project-final-report-.pdf
+ FP7 Nanex project (http://nanex-project.eu/) surveying literature and existing exposure models
to identify knowledge about consumer exposure scenarios and assessment of nanomaterials
Yergin 2012. Do Children Handle Heat As Well As Adults? http://www.momsteam.com/health-
safety/children-handle-heat-as-well-as-adults-studies-say
452
Scenario 17 - Product: Cement containing nano-TiO2 8.18
Description of exposure scenario :
Do It Yourself (DIY) application of cement, e.g. for repairing private house, driveway, etc.
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specifie
d data*
Estimate
d*
Comments/ References
Product
category
Construc
tion
material
Type of Product Cement
ID of
nanomaterial
Nano-
TiO2
E.g. HeidelbergCement as referred to by: BG Bau
(http://www.bgbau.de/praev/fachinformationen/gef
ahrstoffe/nano/pdf-files/nano-liste.pdf)
Characterisation
e.g. size distr.
Size
Crystal form
Size
Distribut
ion not
indicated
, but see
commen
t column
Anatase
http://www.bgbau.de/praev/fachinformationen/gef
ahrstoffe/nano/pdf-files/nano-liste.pdf
notes the following:"Die photokatalytische
Eigenschaft wird durch
die Ausbildung von Nanostrukturen erzielt.
Diese Strukturen werden durch Titandioxid
(TiO2)-Nanopartikel erzeugt, die als
Aggregate vorliegen. Die Aggregate weisen
eine stark vergrößerte Oberfläche auf.";
I.e. the product has photocatalytic properties
provided by nano-TiO2 particles. These are highly
aggregated, but still have a high specific surface area.
Given that the photocatalystic properties of this type
of cement, it is assumed that a high percentage of the
TiO2 is in the anatase form.
Physical
matrix/form of
product
Powder
Package design,
volume
>10 kg Per bag
Application/use/
handling
Pouring/m
ixing
Location of
nanomaterial eg.
free/ matrix-
bound
Not bound
in matrix,
but part of
powder
mixture
Direct/ indirect
exposure
Direct But unintended
Indoor/ outdoor
use
Mainly
outdoor
Generation of
nanomaterial
No
453
during use
Specific target
group (children,
teenagers etc.)
Mainly
adults
Forseeable
misuse
No
Site of contact/
exposure
Hands
when
handling
Primary
exposure
route(s)
Dermal
and
inhalatio
n (eye)
Concentration
of
nanomaterial
in product
5% in
cement
water-
slurry
2%
cement
replacem
ent
5% is
considered
worst case
for
consumer
application
s
Shen et al. (2011) in relation to photocatalytic
surfaces.
Nazari et al. (2010), but in relation to strength
considerations
Volume of
product used,
exposed to (1)
> 10 kg
Body area
exposed to (1)
Arms, but
potentially
also other
areas of the
body
Retention rate
on body
surface (1)
Assumed 1
Migration/libe
ration rate of
nanomaterial
from matrix
It must
assumed
that there
can be
exposure
to the
entire nano
content in
powders
and
454
slurries
Ingested
amount
NA
Concentration
in air/
Volume of
product
released into
air
To be
estimated
Duration of
exposure
8 hours per
days
Frequency of
exposure
Every day
for a
period
* Use “ - “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Expos
ure
route
Algorithms used Comme
nts/
Referen
ces
Inhalati
on
exposur
e
Estimate will be based on measurements cement worker exposure and by
assuming a worst case nano-TiO2 content of 5%.
Dermal
exposur
e
No literature has been identified estimating the dermal exposure level of
cement, although a considerable amount of literature address that dermal
cement exposure might lead to skin disorders. It is generally recommended
to avoid skin contact via the use of gloves/protective equipment.
We will estimate dermal exposure via use of ECETOC TRA consumer v 3.1
with the following input parameters:
Product subcategory: Plasters and floor equalizers
Production Ingredient Fraction: 0.05 (i.e. 5% nano-TiO2)
Skin Contact Area:
o Whole body: 21500 cm2
o Arms and hands: 20.4% of whole body adult: 4386 cm2
455
Produc
t
Ingredi
ent
(g/g)
Cont
act
Area
(cm2)
Transf
er
Factor
(unitle
ss)
FreQue
ncy of
use
(events
/ day)
Thickn
ess of
Layer
(cm)
Dens
ity
(g/c
m3)
Convers
ion
Factor
(mg/g)
Body
Weig
ht
(kg)
(PI
x
CA
x
TF x FQ x TL
x
D
x
1000) /
BW
Oral
exposur
e
NA
Eye
exposur
e
Qualitative considerations
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
456
Target population: Adults
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 60kg Nordic Council of
Ministers (2011)
Inhalation rate 10 m³/8 hours
light activity
ECHA (2012b)
Skin surface (site of contact) Arms and
hands:
4386 cm2
Whole body:
2.15 m²
(=21 500 cm2)
Nordic Council of
Ministers (2011)
Specific behaviour (duration for
e.g. mouthing of children)
Others
Other relevant parameters for use in the algorithms are estimated based on the available
information and from default assumptions when necessary.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Room volume
Air exchange rate (room ventilation)
Distance from breathing zone
Particle size distribution
Dustiness
Etc.
Dermal exposure Film thickness on skin
Viscosity
Etc
Oral
Eye
Step 4
Inhalation
Peters et al. (2009) performed personal measurements of cement worker exposure to inhalable dust
and inhalable cement dust. 180 measurements were performed among cement plant and
construction workers with average sampling times of 7 hours and 43 minutes.
Highest cement exposures among construction workers were found for the following workers:
457
Operation Number of
measurement
days
Number
of
workers
Number
of
samples
Aritetic/Geometric
means (mg/m³)
Range
(mg/m³)
Concrete
repair
4 2 8 1.5/1.2 0.44-3.3
Tile setting 8 5 16 1.7/0.75 0.36-17*
Floor screed
laying
8 5 20 2.3/1.9 0.58-7.5
* It is noted that the values above 10 mg/m³ were associated with grinding machines
It is mention in the paper that these estimates are in line with other findings in the literature. It is
not noted to which extend these workers wear personal protective equipment to reduce those
exposure values.
These operations could be performed by consumers fixing their houses, driveways, etc.
However, it must be assumed that performing such operations at home would often involve less
amounts of handled cement. However, the conditions for the work may be less appropriate and it
cannot be assumed that consumers consistently apply personal protective equipment for reducing
exposure.
Overall, it seems that a reasonable worst case 8-hour average exposure estimate would be around 5
mg/m³ and around 15 mg/m³ for cement grinding operations.
Assuming as a worst case that cement could contain up to 5% nano-TiO2 and assuming that nano-
TiO2 contributes proportionally to the inhalation exposure, this would give around 0.25 mg nano-
TiO2/m³ as a worst case for cement handling and 0.75 mg/m³ for cement grinding
operations.
As a daily dose assuming 8 hour work and an inhalation volume 10m3 during 8 hours light activity
(ECHA, 2012b) this would give a daily dose of:
Cement handling: 0.25 mg/m³ * 10 m³ /60kg = 2.5 mg/day / 60 kg = 0.042 mg nano-TiO2/kg
bw/day
Grinding operations: 0.75 mg/m³ * 10 m³ /60kg = 7.5 mg/day / 60 kg = 0.13 mg nano-TiO2/kg
bw/day
Dermal
ECETOC TRA:
PC9b: Fillers, putties, plasters, modelling clay
Sub group: Plasters and floor equalizers
458
Equation:
Product
Ingredien
t
(g/g)
Contact
Area
(cm2)
Transfer
Factor
(unitless)
FreQuenc
y of use
(events /
day)
Thickness
of Layer
(cm)
Density
(g/cm3)
Conversio
n Factor
(mg/g)
Body
Weight
(kg)
(PI x CA
x
TF x FQ x TL x D x 1000) /
BW
0.05 4386
cm2
1
(default
)
1 /day
(default)
0.01 cm
(default
)
1 g/cm3
(default
)
1000 60 kg
(default
)
0.05 21
500
cm2
1
(default
)
1 /day
(default)
0.01 cm
(default
)
1 g/cm3
(default
)
1000 60 kg
(default
)
Arms and hands exposure: 36.6 mg nano-TiO2/kg bw/day
Whole body exposure: 179 mg nano-TiO2/kg bw/day
Eye:
The eye could be exposed to concentration similar to those estimated for inhalation exposure.
Further assessment of eye exposure will await eye hazard assessment of nano-TiO2 in WP3.
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
There are great uncertainties associated with the concentration of nano-TiO2 in cement, but the
applied 5% is considered worst case. Further, it appears that the market penetration of nano-TiO2
cement is rather low and it might be that photocatlytic cement has not yet reached the consumer
segment.
The derived estimates for inhalation are based on reasonable worst case for workers and must
therefore be considered worst case for consumer, generally applying lower volumes of the product
and with less intensity during a work day. Consumer would also generally apply cement for a
shorter period.
In the estimation, it has generally been assumed that nano-TiO2 added to cement would
proportionally contribute to cement inhalable exposure. No data have been identified to validate
this assumption. In line with this, no data have been identified investigating to which extent nano-
TiO2 is agglomerated or bound to other particles, or could appear as free primary particles.
In relation to dermal exposure, the estimate is based on ECETOC TRA, which is a low tier and
therefore conservative exposure estimation tool. The dermal exposure estimate is of course also
affected by the nano-TiO2 content.
Overall, consumer exposure to nano-TiO2 in cement might due to market development be a
potential future exposure situation and the estimated dermal and inhalation concentrations must be
considered worst case for consumers.
459
Step 6 (for use in WP5)
Especially, the combination between the corrosive cement dust or slurry splashes and nanoTiO2
should be given special attention in the risk assessment.
In relation to dermal exposure, it should be considered that exposure to cement can lead to several
skin disorders such as5:
Dry skin or irritation (mild ICD)
Irritant contact dermatitis (ICD)
Allergic contact dermatitis (ACD)
Caustic burns (alkaline burns)
Which might enhance the dermal penetration/absorption of nano-TiO2.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Burton M. 2011. Previous concrete with titanium dioxide as a photocatalyst compound for a greener
urban environment. M.Sc. thesis. Washington university. December 2011.
ECHA. 2012b. Guidance on information requirements and chemical safety assessment. Chapter
R.8: Characterisation of dose [concentration]-response for human health. ECHA-2010-G-19-EN.
European Chemicals Bureau, Finland.
Nazari A, Riahi Sha, Riahi Shi, Shamekhi SF, Khademno A. 2010. Assessment of the effects of the
cement paste composite in presence TiO2 Nanoparticles. Journal of American Science. 2010, 6(4),
43-46.
Peters S, Thomassen Y, Fechter-Rink E, Kromhout H. 2009. Personal Exposure to Inhalable
Cement Dust among Construction Workers. Journal of Physics:ConferenceSeries 151 (2009)
012054, 1-5.
5 See e.g.
http://www.elcosh.org/document/60/d000458/A%2BSafety%2B%2526%2BHealth%2BPractitioner%2527s%2BGuide%2Bto%
2BSkin%2BProtection.html?show_text=1#4
460
Scenario 18 - Product: Wound dressing containing nano-Ag 8.19
Description of product:
Several nano-silver wound dressings exist and are generally intended for professional treatment of
wounds, especially burns.
The wound dressing is an absorbent post-operative dressing which may consist of e.g.:
A Nanocrystalline silver-coated polyurethane layer
A white polyurethane foam pad
An adhesive coated waterproof polyurethane film layer
The dressing may be left in place over a wound for up to 7 days.
Description of exposure scenario
For use by private consumers it is anticipated that only small patches are used as healing of larger
wounds and uses of larger patches would call for professional treatment.
(Also small everyday wound-patches containing nano-Ag for small scratches are increasingly found
on the market, however this scenario cover larger patches that may be used on larger surfaces).
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified
data*
Estimated* Comments/ References
Product category Medical
device
Type of Product Wound
dressing
http://www.smith-
nephew.com/professional/products/all-
products/acticoat-surgical/
ID of nanomaterial Nano-Ag Particle diameter of silver crystals
(primary particle size) measured to
200-450 nm using scanning electron
microscopy (Rigo et al. 2012)
Physical matrix/form of
product
Textile
matrix
Package design, volume Skin patch,
4” x 43/4”
http://www.smith-
nephew.com/professional/products/all-
products/acticoat-surgical/
Application/use/
handling
Skin
application
Location of nanomaterial
eg. free/ matrix-bound
Semi-
bound
(sustained
release)
Direct/ indirect exposure Direct
exposure
Indoor/ outdoor use -
Generation of
nanomaterial during use
Perhaps Nano-silver particles may be released or
dissolved silver may precipitate as
nanosize silvercompounds.
461
Specific target group
(children, teenagers etc.)
All/ child Children chosen as target group as their
lower body weight would result in a
higher weight based exposure compared
to adults.
Forseeable misuse -
Site of contact/ exposure wound
surface
Primary exposure
route(s)
Dermal
Concentration of
nanomaterial in
product
- 1.64 mg/cm2 Rigo et al. (2012); Roman et al. (2013).
Volume of product
used, exposed to
1 skin patch Area:
4" x 43/4" or
10 x 12 cm
(120 cm2)
Body area exposed to 10 x 12 cm
(120 cm2)
Considered as worst case consumer use,
as use of larger patches would call for
professional treatment.
Retention rate on
body surface
1 100% of the dose remain at the
application site
Migration/liberation
rate of nanomaterial
from matrix
Up to 60% Roman et al. (2012)
Ingested amount -
Volume of product
released to air /
concentration in air
-
Duration of exposure 1 day Conservative as a new silver load is
considered every day. According to the
recommendations the patch may rest
for up to 7 days on the skin.
Frequency of
exposure
daily 21 days is assumed as longest treatment
period
* “ - “ if not given or not relevant
Step 2 Algorithms
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
462
Exposure route Algorithms used Comments
/
References
Dermal exposure
Surface exposure (mg/cm2) = Dermal load (mg/cm2) x Migration rate
Dose (mg /kg bw d) =
Skin Area (cm2) x Dermal load (mg/cm2) / bodyweight x Migration
rate x Events/ day
That the external dermal exposure to wound dressings may lead to silver migration, absorption and
increased serum levels of silver has been verified by Vlachou et a. (2007), see section 5.8.2.
Step 3 Target group
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R15, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values amd recommendaqtions for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Child 2 years
Anatomical /Physiological
parameters
Specified Estimated Comments/
References
Body weight 13 kg Danish EPA (2006)/
Nordic Council of
Ministers (2011)
Skin surface (site of contact) on
damaged skin/ wound
10 x 12 cm
(120 cm2)
Assumed
Step 4 Exposure estimation
The wound dressing (skin patch) may contain up to 1.64 mg of nano-Ag per cm2 of dressing. The
dressings are used for their aseptic properties and for the healing of wounds especially in
connection with skin burns.
For consumer scenario a worst case scenario with a 2 year-old child (body weight of 13 kg) is
assumed using 1 dressing (10cm x 12 cm) per day in 21 days. It is not assumed realistic that parents
would treat larger wounds themselves as larges wounds would call for professional treatment.
Although not recommended, the patch is as a worst case assumed to be changed each day during
the treatment period. I.e. the treatment is considered to end after 3 weeks either because of healing
of the wound or because of change to other type of treatment in case no healing occurs.
Measured data on release indicate a release rate of up to 60% (Roman et al. 2013).
From this the external dermal dose can be calculated as:
463
Child:
Surface exposure (mg/cm2) = Dermal load (mg/cm2) x Migration rate
Surface exposure (mg/cm2) = 1.64 mg nano-Ag/cm2 x 0.6 = 0.98 mg Ag/cm2
Dermal Dose (mg /kg bw d) =
Skin Area (cm2) x Dermal load (mg/cm2) / bw x migration rate x events/ day
Dermal Dose (mg /kg bw d) =
120 cm2 x 1.64 mg nano-Ag/cm2 / 13 kg x 0.6 x 1/ day = 9.08 mg nano-Ag/ kg bw d
Step 5 Uncertainties of the described exposure scenario
Description of the validity and robustness of the exposure estimates Also larger particles sizes of
200-450 nm has been measured and reported for such products. Several data indicate that the
concentration of nano-Ag is up to 1.64 mg Ag/cm2, which is used as a worst case.
It is not considered realistic that parents would treat larger body areas than an area of 120 cm2 of a
child with the wound dressing as larger wounds would call for professional treatment.
Measured data indicate release of up to 60% from the patch to the skin and this is considered as a
worst case assumption for 24 h exposure.
Also the use of 21 patches during a 21 days period is a worst case.
All in all a daily dermal exposure of 9.08 mg nano-Ag/ kg bw d is considered as a realistic worst
case consumer scenario for the product.
Step 6 (for WP5)
This type of dermal scenario with nano-Ag used in wound dressing may be seen in context with
other textile dermal exposure scenarios for nano-Ag e.g. the use of nano-AG in sports socks, T-shirt
underwear etc. Also aggregated exposure may be seen in context with other uses for nano-Ag e.g.
cleaning sprays air fresheners etc.
Medical treatment of larger burns in clinics and hospitals might lead to considerably higher
exposures.
References
http://www.smith-nephew.com/professional/products/all-products/acticoat-surgical/
Rigo, C., Roman M., Munivrana, I., Vindigni, V., Azzena, B., Barbante, C., Cairns, W.R.L.
2012.Characterization and evaluation of silver release from four different dressings used in burns
care. Burns.38, 1131–1142.
Roman M., Rigo, C., Munivrana, I., Vindigni, V., Azzena, B., Barbante, C., Fenzi, F., Guerriero, P.,
Cairns, W.R.L. 2013. Development and application of methods for the determination of silver in
polymeric dressings used for the care of burns. Talanta 115, 94-103.
464
Vlachou, E., Chipp, E., Shale, E., Wilson, Y.T., Papini, E., Moiemen, N.S. 2007.The safety of
nanocrystalline silver dressings on burns: A study of systemic silver absorption. Burns 33, 979-985.
465
Scenario 19 - Product: Nanocomposite product for dental 8.20
replacement and restoration containing nano-Zirconia and nano-
silica
Description of exposure scenario: Casting and fitting with dentist tools
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary.
Parameter Specified data*
Estimated*
Comments/ References
Product category
dental product
http://solutions.3m.co.uk/wps/portal/3M/en_GB/3M_ESPE/Dental-Manufacturers/Products/Dental-Restorative-Materials/Dental-Composites/Dental-Nanocomposites/
Type of Product
ceramic tooth for dental replacement
ID of nanomaterial
nano-ZrO2 and nano-Silica
Van Landyot et al. (2012). The material safety data sheet (MSDS) contains no specific information on the nanomaterials: http://multimedia.3m.com/mws/mediawebserver?mwsId=SSSSSuUn_zu8lzNv4YteMx2Zlv70kDVFNvu9lxtD7SSSSSS--
http://multimedia.3m.com/mws/mediawebserver?mwsId=SSSSSuUn_zu8lzNv4YtUlYt15v70kDVFNvu9lxtD7SSSSSS-- However, the first MSDS informs that in one case the silica is a silane-treated silica with a concentration of 5-10 % and that the material consists of 65-75% silane-treated ceramic http://multimedia.3m.com/mws/mediawebserver?mwsId=SSSSSuUn_zu8lzNv4YteMx2Zlv70kDVFNvu9lxtD7SSSSSS--
Characterisation, e.g. size distr. Size Crystal form
20 nm nanosilica 5-20 nm nano-Zirconia NA
Van Landyot et al. (2012).
Physical matrix/form of product
Nanocomposite
Package design, volume
1 g Estimated mass of replacement/repeared tooth
Application/use/ handling
Dental replacement
Location of nanomaterial eg. free/ matrix-bound
In viscous paste during applicatio
466
n matrix bound during use
Direct/ indirect exposure
Direct exposure
Indoor/ outdoor use
NA
Generation of nanomaterial during use
yes Yes
Wear test show high resistance to wear. Following a specific test the product wore of 5 µm/200.000 cycles and were among the best in the test panel. “The wear rate of Filtek™ Supreme XTE Universal Restorative DEB shades and T shades is comparable to the 3-body wear of Filtek™ Supreme XT
Universal Restorative. In addition our tests have also proven that the 3-body wear of Filtek Supreme XTE universal is lower than a wide range other competitive microfills and universal restoratives on the market” http://solutions.3m.co.uk/wps/portal/3M/en_GB/3M_ESPE/Dental-Manufacturers/Products/Dental-Restorative-Materials/Dental-Composites/Dental-Nanocomposites/#tab4 Van Landyot et al. (2012) showed release of debris particles during reshaping the replacement tooth.
Specific target group (children, teenagers etc.)
Adults, teenagers, and children
Forseeable misuse
No
Site of contact/ exposure
oral exposure
The replacement tooth involves risk of long-term exposure to wear-debris
Primary exposure route(s)
Inhalation and oral
Inhalation during installation of the tooth and re-shaping (fitting) Oral during installation of the tooth and re-shaping (fitting) as well as long-term use.
Concentration of nanomaterial in product
5-10 wt% nanosilica
65-75 wt% nanoZrO2
The MSDS informs in one case that the replacement tooth consists of 5-10% silane-treated silica and 65-75% silane-treated ceramic http://multimedia.3m.com/mws/mediawebserver?mwsId=SSSSSuUn_zu8lzNv4YteMx2Zlv70kDVFNvu9lxtD7SSSSSS--
The total silica and ceramic (ZrO2) content is assumed to be ascribed as nanomaterials.
Volume of product used, exposed to (1)
NA 1 g The replacement tooth is assumed to weigh 1 g
Body area exposed to (1)
oral cavity
Retention rate on body surface (1)
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of
Yes, but low
The rate of degradation is low according to the wear test. http://solutions.3m.co.uk/wps/portal/3M/en_GB/3M_ESPE/Dental-Manufacturers/Products/Dental-Restorative-
467
nanomaterial from matrix
Materials/Dental-Composites/Dental-Nanocomposites/#tab4. See discussion under oral exposure below.
Ingested amount
Possible Acute relatively high ingestion rate during instillation and shaping of replacement tooth. Slow ingestion rate from debris.
Concentration in air/ Volume of product released into air
1 mg/m3 Concentrations of Particulate Matter (PM10) smaller than 1 µm in size have been shown to exceed 60 µg/m3 in a workplace measurement in a dental clinique. The total suspended dust concentrations reached 10 mg/m3 (Van Landyot et al., 2012). Since respirable dust is ca. PM4.5, and the consumer is at the source, it is estimated that the average respirable dust concentration could be on the order of 1 mg/m3 during processing the tooth.
Duration of exposure
30 min 30 min 10 years
inhalation (estimate) Acute oral exposure (estimate) Chronic oral exposure (estimate)
Frequency of exposure
Acute (once every 10 year) Chronic
during establishment of the replacement tooth during long-term wear and degradation of the tooth
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation
exposure
Concentrations of Particulate Matter (PM10) smaller than 1 µm in size have been shown to exceed 60 µg/m3 in a workplace measurement in a dental clinique. The total suspended dust concentrations reached 10 mg/m3 (Van Landyot et al., 2012).
Since respirable dust is ca. PM4.5, it is estimated the that
average respirable dust concentration could be on the
order of 1 mg/m3 during the 30 min processing the
tooth. The exact composition of the dust was not
characterized, so it is conservatively assumed that all
dust was due to the nanocomposite debris.
A mass-based assessment of the inhalation exposure is
made using the traditional Tier 1 estimation of inhaled
dose in R.15 (ECHA, 2011):
nBW
TIHCFD
contactairinhresp
inh
Input
parameter Description Units
Cinh Concentration of [mg/m3]
Van Landyot et
al. (2012)
ECHA (2011)
468
substance in air of room
Fresp Respirable fraction of inhaled substance (default 1)
[-]
IHair Ventilation rate of person
[m³/d]
Tcontact Duration of contact per event (default 1 day)
[d]
BW Body weight [kg]
N Mean number of events per day
[/d]
Output parameter
Description
Dinh Inhalatory dose (intake) of substance per day and body weight
[mg/kg BW d]
Oral exposure It is evident that there is acute oral exposure in
connection with instillation and shaping the replacement
tooth/filling. Wear tests also show that some wear occurs
even-though it is small. However, no relevant data was
found on the amount of debris produced during finishing
that could be used for human exposure assessment.
Similar, no measurement data were found for assessment
of the chronic exposure during use.
Wear tests by one of the producers
http://solutions.3m.co.uk/
wps/portal/3M/en_GB/3M_ESPE/Dental-
Manufacturers/ Products/Dental-Restorative-
Materials/Dental-Composites/ Dental-
Nanocomposites/#tab4 reveal that ca. 5 µm were worn
of after 200.000 standard test cycles. Assuming a 0.75
cm2 chewing area of a tooth repair and similar wear
during 1 years of use this gives an annual release of (0.75
cm2 x 0.0005 cm) 3.75x10-4 mg assuming density is 1
g/cm3). However, this purely a speculative value. More
documentation is needed to complete a trustworthy
assessment.
It should, be noted that the inhaled exposure dose
calculated below also contribute to the gastro-intestinal
exposure dose.
Dermal contact
exposure
Oral cavity exposure is relevant, but no useable data were
found for this assessment.
Eye exposure
Relevant, but not assessed
469
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (male)
60 kg (female)
71.6 (16-<21
years)
18.6 kg (3-<6
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (hand,
head):
NA
Density NA
Daily amount NA
Application per year 1/10 One tooth replacement and repair every 10 years
Amount which may
get in contact with
skin through
splashes or direct
contact.
NA Oral cavity contact with saliver and tongue. Area not
assessed.
Concentration of
nanomaterial in
product
<85 wt% The combined concentration of nano-Silica and nano-
Zirconia
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
NA
Other relevant parameters not used in the algorithms for exposure assessment.
Exposure routes Specific parameters Comments/
References
Inhalation exposure
Ventilation rate
Agglomeration (coagulation)
Surface deposition
Deposition efficiencies in the airways
Schneider et al.
(2011)
470
Dermal exposure Relevant, but not assessed
Oral Relevant, but not assessed
Eye Not assessed
Step 4
This section describes and explains the calculation of exposure:
Male Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgmg
dayday
m
m
mg
nBW
TIHCFD maleBW
contactairinhresp
inh ,
3
3
/012.0170
24
2
1
32.4011
First year inhaled dose for one treatment: 1 x 0.012 mg/KgBW,maleday =
0.012
mg/KgBW,maleYear
If life-time of replacement is 10 years the average annual dose is: 0.0012 mg/KgBW,maleYear
Female Adult (41 - <51):
Inhaled Dose: Respiration volume 0.028 m3/min for moderate intensity (Nordic Ministry Council,
2012)
daykgmgkg
daymm
mg
nBW
TIHCFD femaleBW
contactairinhresp
inh ,
3
3
/014.0160
24
2
1
32.4011
First year inhaled dose for one treatment: 1 x 0.014 mg/KgBW,femaleday =
0.014
mg/KgBW,femaleYear
If life-time of replacement is 10 years the average annual dose is: 0.0014 mg/KgBW,femaleYear
471
Child (18.6 kg):
Inhaled Dose: Respiration rate 0.00576 m3/min (8.3 m3/day) for moderate intensity; body-weight
= 18.6 kg (Nordic Minister Council report; 2012):
daykgmgkg
dayday
m
m
mg
nBW
TIHCFD childBW
contactairinhresp
inh ,
3
3
/0093.016.18
24
2
1
3.811
First year inhaled dose for one treatment: 1 x 0.0093 mg/KgBW,childday =
0.0093
mg/KgBW,shildYear
If life-time of replacement is 10 years the average annual dose is: 0.00109 mg/KgBW,childYear
Nanocomposite dental
replacement (1 g)
Male (70 kg), [µg/kg] Female (60 kg),
[µg/kg]
Children (18.6 kg)
µg/kg
Acute inhalation dose 12 14 9.3
Average annual
inhalation dose
1.2 1.4 1.1
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
The composition of different ceramic tooth repair and replacements can vary considerably. In this
specific composition with a relatively high total ceramic content was used for the assessment. Other
products may have different compositions and from the reported standardized wear-data a higher
potential release rate during both finishing and use leading to acute and long-term (chronic)
exposure.
In the inhalation scenarios, the airborne exposure is assessed assuming that the measured room
concentration values at the dentistry found in a scientific publication is indicative of the consumer
exposure during treatment. It was observed that the concentrations of Particulate Matter
(PM10) exceeded 60 µg/m3 in a dental clinique and the total suspended dust
concentrations reached 10 mg/m3 (Van Landyot et al., 2012). It was assumed that the
average concentration of respirable dust (PM4.5; particles up to 4.5 µm size) at the
consumer was 1 mg/m3 and therefore higher than the room concentration of PM10
(particles up to 10 µm in size). This is a highly uncertain estimate, but assuming that the
entire estimated respirable dust was consisted of nanomaterial and that the duration of the
treatment was 30 min, the scenario is considered to be reasonable precuationary. However,
experimental evidence is highly warrented to clarify this type of exposure.
Dermal and gastric exposure (oral cavity) was not assessed specifically due to lack of enough
material detail or exposure data. Oral uptake would also come from the inhalation dose where
transport from nose and mouth as well as the mucusiliary escalator from the respiratory tract
472
contribute to the oral exposure. So the inhaled dose is also the worst case oral dose. Considering,
the theoretical consideration above, an annual wear of one tooth would result in 3.75x10-4 mg
release from the tooth every year. Using the body weight of the small child (18.6 kg) this
amounts to 2.02x10-5 mg/KgBWchild per year. This is ca. 461 times less than the inhalation
exposure assessed for the clinical exposure.
Step 6 (for use in WP5)
The application of nanoceramic dental products is said to be increasing fats and is already widely
used.
There are rarely other sources for nano-zirconia inhalation and oral exposure whereas exposure to
nanosilica can arise from different sources.
The possible risk from combined exposure will be discussed in WP5 considering absorption and
hazard information identified in WP 3 on hazard assessment.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA, 2012. Guidance on information requirements and chemical safety assessment. Chapter R.15:
Consumer exposure estimation. Version: 2.1, November 2012.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Schneider T, Brouwer D, Koponen IK, Fransman W, Jensen KA, van Duuren-Stuurman B, van
Tongeren M & Tielemans E., 2011. Conceptual model for assessment of inhalation exposure to
Manufactured Nanoparticles. Journal of Exposure Science and Environmental Epidemiology 21,
450–463.
Van Landuyt KL, Yoshihara K, Geebelen B, Peumans M, Godderis L, Hoet P, van Meerbeek B. 2012.
Should web e concerned about composute (nano-)dust?. Dental Materials 28, 1162-1170.
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Scenario 20 - Product: Golf club with CNT re-enforced shaft 8.21
Description of exposure scenarios: Fitting of shaft and wear and tear during use
Step 1
Product and exposure relevant information established in chapter 4 is filled in below, supplemented
with additional information when necessary. Parameter Specified
data* Estimated*
Comments/ References
Product category
Sports equipment
http://www.nanocyl.com/en/Products-
Solutions/Sectors/Recreational
http://www.yonex.com/i-ezone/technology/ http://www.shaftdeals.com/productdetail.cfm?InventoryID=659 http://www.harrison.com/custom-fitting
Type of Product golf club ID of nanomaterial
SWCNT and CSWCNT
Nanocyl produces Multi-walled carbon nanotubes (MWCNT) for
sports equipment http://www.nanocyl.com/en/Products-
Solutions/Sectors/Recreational
Several of Yonex golf clubs have been known to contain Cup-Stack
Carbon Nanotubes; CSCNT (e.g., Yonex Rexis Premium Golf Shaft,
Nanopreme™, Nanospeed, and i-EZONE). http://www.yonex.com/i-
ezone/technology/. However, single-walled (SW) CNT may also be
applied by this company. Muggen series shafts: “Strategically positioned Single Walled Carbon Nanotubes (SWNTs) are embedded in the tip section of the shaft to further strengthen and enhance the Muggen Blues performance and durability.” http://www.shaftdeals.com/productdetail.cfm?InventoryID=659 Similar technology is described by others: http://www.harrison.com/staticpages/carbon-nanotubes; http://www.harrison.com/custom-fitting
Characterisation, e.g. size distr. Size Crystal form
"Generic" CNTs
No specific details on the dimensions and functionalizations are given for any of the CNT mentioned in specific products.
Physical matrix/form of product
nanocomposite / layer nanocomposite
Package design, volume
NA NA Amount is unknown.
Application/use/ handling
Leisure sports equipment
Location of nanomaterial eg. free/ matrix-bound
matrix bound or layered nanocomposite
Nanocyl’s EPOCYL™ products. These products offer sporting goods
designers and manufacturers an integrated, innovative technology for
improving the strength, fracture toughness, shelf life, and antistatic
properties in composite parts. Common applications include bike
frames, hockey sticks, tennis rackets, golf shafts, and skis.
http://www.nanocyl.com/en/Products-
Solutions/Sectors/Recreational
Yonex: Nanopreme™, the carbon nanotube (CNT) enhanced epoxy
resin results in improved performance of golf clubs and racquets. This
application has been found in e.g., the Yonex Nanospeed 3i AW Iron
474
and i-EZONE technology. http://www.yonex.com/i-ezone/technology/
”SWNTs are known as one of the lightest and strongest materials
available today. …….When embedded in the tip section, the weakest
part of a golf shaft, SWNTs enhance its strength and stability with
negligible weight increase.”
http://www.harrison.com/staticpages/carbon-nanotubes;
http://www.harrison.com/custom-fitting Direct/ indirect exposure
Directexposure Indirect
During fitting During wear/tear of the product
Indoor/ outdoor use
Indoor Outdoor
Indoor use is possible and chosen for the reworking scenario Outdoor use is typical intended application
Generation of nanomaterial during use
yes
It is assumed possible that small amounts of CNT may be liberated during intended use and accidents such as breaking the club. Release is especially possible if the product is aged or breaks after extensive use and UV-degradation of the matrix (see review by Jensen et al., submitted). Fitting/repair of the club via sanding/drilling is assumed to liberate CNT. It has been demonstrated that CNT may be partially liberated from layer composites and also matrix nanocomposites. Especially, if the product is aged by UV-degradation.
Specific target group (children, teenagers etc.)
Adults
Forseeable misuse
Yes The consumer may break the golf club to investigate its structure or accidentally (?) grind into the layer with CNT.
Site of contact/ exposure
NA
Primary exposure route(s)
Inhalation and dermal
Concentration of nanomaterial in product
NA
Volume of product used, exposed to (1)
NA
Body area exposed to (1)
hands
Retention rate on body surface (1)
Assumed 1
R.15 v. 2.1 (ECHA, 2012)
Migration/liberation rate of nanomaterial from matrix
NA
Ingested amount
Possible Inadvertent oral exposure (finger to mouth contact) is possible, but the possible dose for consumer use is considered low.
Concentration in air/ Volume of product released into air
NA Discussed below
Normal use: There are no data available on the CNT exposure or release during use of consumer products. The risk of exposure during normal use is considered low (Kingston et al., 2014; Jensen et al., submitted). There are no specific case-studies on the CNT release from golf clubs. However, qualitative assessments suggest risk of exposure during breaking and mechanical reworking on sports equipment (Jensen et al., 2014). This is supported by results from release studies of emissions during sanding, grinding and cutting CNT-based matrix
475
nanocomposites. Duration of exposure
30 min 1½ hour
Inhalation (estimate in case of fitting and breaking the shaft) Dermal contact exposure (estimate for weekly normal use)
Frequency of exposure
2 per year Weekly
Cutting, sanding or breaking the shaft Normal use
* Use “ NA “ if not given or not relevant
In addition key information from relevant references described in chapter 5 (or found elsewhere in
connection with the project) are presented.
Step 2
Based on the availability of data the most relevant algorithms are generated/ selected for estimation
of the exposure (algorithms for various purposes and at various tiers are described in chapter 4,
section 4.2) :
Exposure route Algorithms used Comments/
References
Inhalation
exposure
There are no data available on the exposure during use of
CNT-re-enforced golf clubs. However, relevant studies on
the dust- and CNT-release characteristics and rates during
mechanical processes and weathering of CNT products
have been published.
Producers and distributers describe that the CNT in golf-
clubs are embedded in an epoxy resin.
http://www.nanocyl.com/en/Products-
Solutions/Sectors/Recreational,
http://www.yonex.com/i-ezone/technology/,
http://www.harrison.com/staticpages/carbon-nanotubes;
http://www.harrison.com/custom-fitting
Products based on epoxy resins are hard and brittle, the
matrix degrades by UV-irradiation (CNT can stabilize
this), they are susceptible to oxidation and hydrolysis, but
have overall low rate of mechanical degradation resulting
in a low release potential.
Jensen et al. (in press) and this report (see Chapter 5)
conclude that mechanical reworking of weathered
products will increase the likelihood of CNT exposure
considerably. Jensen et al. (submitted) states that there,
especially for CNT-layer nano-composites, is potential for
exposure during use of UV-degraded products, and
products with mechanical failure and their mechanical
reworking. However, at the percentages normally used in
consumer products, it appears unlikely to reach critical
exposure levels during normal consumer use.
Release studies on polyurethane with and without 3 wt%
MWCNT showed particle release during treatment with
both taber abrasion (normal use), sanding, and
weathering. Protruding MWCNT was found in debris
particles from mechanical treatment and at least 97 wt%
of the CNT was determined to remain associated with the
Kingston et al.
(2014)
Jensen et al. (in
press)
Wohlleben et al.
(2013)
476
polyurethane. Weathering caused formation of a MWCNT
rich crust (723 wt% CNT) at the surface of the product
after 9 and 18 months weathering.
Abrasion of epoxy nanocomposite with 0, 0.1 and 1 wt%
CNT resulted in a release of ca. 8,000 – 20,000 fine sub-
µm size particles/cm2 and 1,000 – 3,000 particles/cm2 in
the 0.6 to 2.5 µm range. Free CNT and agglomerates were
observed in the abrasion dust, but the fraction of CNT was
not quantified.
Cutting, grinding, and sanding of a carbon nanofiber-
doped plastic composite in an occupational setting showed
personal exposure levels reaching 1,934 particles/cm3
during wet-sawing without ventilation and observation of
free carbon nanofibers in air-samples. Higher, but
comparable concentrations were observed for sanding,
which also liberated carbon nanofibers.
Gomez et al. (2014) investigated the release rate and
characteristics of sanding EPOCYL NC R128-04 Resin
with 20 wt% NC7000 MWCNT (given as CNT with 9.5 nm
diameter and 1.5 µm length). This product may be similar
to the type of resin used on sports products with
EPOCYLTM as mentioned above. No significant difference
was observed in the size-distributions of released dust (2
or one broad mode from ca. 100 nm to 10 µm with at least
a peak mode around 1 µm). The release rate during
sanding was highest (ca. 4-6 x 103 particles/cm3sec in a
0.66 m3 chamber) for particles in the 300 nm to 1 µm
range. Abrasion particles with protruding CNT were
observed, but free CNT was not observed.
Schlagenhauf et
al. (2012)
Methner et al.
(2012)
Gomez et al.
(2014)
Dermal contact
exposure
There are no data available on the dermal exposure during
use of golf clubs with CNT.
The dermal consumer exposure risk and exposure levels
are generally evaluated negligible to very low for the
product types currently identified on the market.
However, there is potential for exposure during use of UV-
degraded products, especially layer nano-composites, and
products with mechanical failure and their mechanical
reworking. (Jensen et al., submitted).
Jensen et al.
(submitted)
Oral exposure
Inadvertent oral exposure is possible, but the possible
dose for consumer use is considered low.
Eye exposure
Considered possible, but negligible
477
Step 3
For the identified target population relevant values for anatomical/physiological parameters are
selected. As information sources the following may be consulted:
REACH guidance R.15 v. 2.1, 2012: Consumer exposure assessment.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
Target population: Adults and teenagers
Anatomical
/Physiological
parameters
Specified Estimated Comments/ References
Body weight 70 kg (male)
60 kg (female)
71.6 (16-<21
years)
Nordic Council of Ministers (2011)
Retention rate 1
Skin surface (hand,
head):
NA
Density NA
Daily amount NA NA
Application per year 2
52
Cutting, sanding or breaking the shaft
Using the golf club
Amount which may
get in contact with
skin through
splashes or direct
contact.
NA
Concentration of
nanomaterial in
product
NA
Specific behaviour
(duration for e.g.
mouthing of
children)
NA
Layer thickness
Transfer efficiency
NA
Step 4
This section describes and explains the calculation of exposure:
No exposure estimations are made. According to the description in section 3, exposure to free CNT
is possible. This is especially true during shaft fitting and if the product has been subjected to wear
and tear. There is no precise information on the abundances of CNT in the products. Due to the
many unknown factors, exposure estimations have not been completed at this stage. However,
qualitatively, exposure is possible:
478
Products based on epoxy resins are hard and brittle, the matrix degrades by UV-irradiation (CNT
can stabilize this), they are susceptible to oxidation and hydrolysis, but have overall low rate of
mechanical degradation resulting in a low release potential.
Jensen et al. (in press) and this report (see Chapter 5) states that there, especially for CNT-layer
nano-composites, is potential for exposure during use of UV-degraded products, and products with
mechanical failure and their mechanical reworking. However, at the percentages normally used in
consumer products, it appears unlikely to reach critical exposure levels during normal consumer
use.
Abrasion of epoxy nanocomposite with 0, 0.1 and 1 wt% CNT resulted in a release of ca. 8,000 –
20,000 fine sub-µm size particles/cm2 and 1,000 – 3,000 particles/cm2 in the 0.6 to 2.5 µm range.
Free CNT and agglomerates were observed in the abrasion dust, but the fraction of CNT was not
quantified.
Cutting, grinding, and sanding of a carbon nanofiber-doped plastic composite in an occupational
setting showed personal exposure levels reaching 1,934 particles/cm3 during wet-sawing without
ventilation and observation of free carbon nanofibers in air-samples (Methner et al., 2012). Higher,
but comparable concentrations were observed for sanding, which also liberated carbon nanofibers.
Gomez et al. (2014) investigated the release rate and characteristics of sanding EPOCYL NC R128-
04 Resin with 20 wt% NC7000 MWCNT (given as CNT with 9.5 nm diameter and 1.5 µm length).
This product may be similar to the type of resin used on sports products with EPOCYLTM as
mentioned above. No significant difference was observed in the size-distributions of released dust
(2 or one broad mode from ca. 100 nm to 10 µm with at least a peak mode around 1 µm). The
release rate during sanding was highest (ca. 4-6 x 103 particles/cm3sec in a 0.66 m3 chamber) for
particles in the 300 nm to 1 µm range. Abrasion particles with protruding CNT were observed, but
free CNT was not observed.
The dermal consumer exposure risk and exposure levels are generally evaluated negligible to very
low for the product types currently identified on the market. However, there is potential for
exposure during use of UV-degraded products, especially layer nano-composites, and products with
mechanical failure and their mechanical reworking. (see Chapter 5; Jensen et al., submitted).
All in all, the published data suggest that exposure to free CNT may occur in some cases. The
highest risk of exposure is associated with abrasion (shaft fitting) and if the golf-club is aged or
weathered. Due to the amount of CNT in each golf club, it is considered that the actual exposure
level to free CNT is very low to moderate. However, the final assessment strongly depends on the
hazard.
Step 5
Uncertainties of the described exposure scenario:
Description of the validity and robustness of the exposure estimates
Absolute exposure estimates could not be completed due to lack of relevant emission and exposure
data. There is great uncertainty in which amounts CNT is used in golf clubs and at what structural
location. Relevant data for this product group is highly needed.
Step 6 (for use in WP5)
479
There is a possibility for CNT exposure during fitting and use of the golf club. However, the
expected exposure levels are low. Most of the exposure will be to composite fragments with
embedded or protruding CNT. Consult the exposure characterization in Step 2.
This scenario is assessed to be generally relevant for CNT in sports equipment such as rackets, skis
etc.
The uncertainties addressed under Step 5 should be considered in WP5.
References:
Nordic Council of Ministers, 2011: Existing default values and recommendations for exposure
assessment. http://www.norden.org/en/publications/publikationer/2012-505/
ECHA, 2012. Guidance on information requirements and chemical safety assessment. Chapter R.15:
Consumer exposure estimation. Version: 2.1, November 2012.
http://echa.europa.eu/documents/10162/13632/information_requirements_r15_en.pdf
Gomez V, Levin M, Saber AT, Irusta S, Dal Maso M, Hanoi R, Santamaria J, Jensen KA, Wallin H,
Koponen IK, 2014. Comparison of dust release from epoxy and paint nanocomposites and
conventional products during sanding and sawing. Annals of Occupational Hygiene, e-pub ahead of
print. doi:10.1093/annhyg/meu046
Jensen KA, Bøgelund J, Jackson P, Jacobsen NR, Birkedal R, Clausen PA, Saber AT, Wallin H,
Vogel UB, submitted. Carbon nanotubes - Types, products, market, and provisional assessment of
the associated risks to man and the environment. Environmental Report. Danish Ministry of the
Environment, Environmental Protection Agency. 143 pp.
Kingston C, Zepp R, Andrady A, Boverhof D, Fehir R, Hawkins D, Roberts J, Sayre P, Shelton B,
Sultan Y, Vejins V, and Wohlleben W. 2014. Release characteristics of selected carbon nanotube
polymer composites. Carbon 68, 33-57.
Methner M, Crawford C and Geraci C. 2012. Evaluation of the potential airborne release of carbon
nanofibers during the preperation, grinding, and cutting of epoxy-based nanocomposite material.
Journal of Occupational and Environmental Hygiene 9, 308-318.
Schlagenhauf L, Chu BTT, Buha J, Nüesch F, and Wang J. 2012. Release of Carbon Nanotubes from
an Epoxy-Based Nanocomposite during an Abrasion Process., 7366-7372. Environ. Sci. Technol.
Wohlleben W, Meier MW, Vogel S, Landsiedel R, Cox G, Hirth S, and Tomovic Z. 2013. Elastic
CNT-polyurethane nanocomposite: synthesis, performance and assessment of fragment release
during use. Nanoscale 5, 369-380.