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Petros Taoukis*1, George Katsaros1, Theofania Tsironi1,
Efimia Dermesonluoglu1, Eleni Gogou1, Graciela Alvarez2, Evelyne Derens2
1 National Technical University of Athens, School of Chemical Engineering. Laboratory of Food Chemistry and Technology
*taoukis@chemeng.ntua.gr
2 IRSTEA, FRANCE
COLD CHAIN EVALUATION AND MANAGEMENT USING FRISBEE PROJECT PREDICTION TOOLS
5th International Workshop Cold Chain Management June 10 – 11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering
National Technical University of Athens
Current philosophy
Development and application of structured quality management systems based on prevention by monitoring, controlling and recording of critical parameters through product’s entire life cycle
Food Quality Assurance
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
It is generally recognized by the European industry, retailers, food authorities
and even consumers that the cold chain affects directly safety and quality of
chilled and frozen products.
Cold Chain – Need for better management
The systematic management of the cold chain and the improved evaluation
of safety, quality and shelf life of the products can lead to reduced safety risk
and increased quality, with a significant health and economic impact to the
society and the market.
Cold Chain Management
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Temperature variations in distribution and storage conditions
Need for Real Time-Temperature Profiles along the cold chain
Cold Chain Management
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
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Temperature variation between 3 profiles of
same product distribution and storage
Distribution and retail display of same product at 3 different dates
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Differences between 3 profiles
of same product distribution and
storage -2
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Distribution and retail display of same product at 3 different dates
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
4 data loggers were distributed randomly to potential consumers to monitor variations
INSIDE the refrigerator
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1: upper shelf 2: middle shelf 3: lower shelf 4: door
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Variations WITHIN the domestic refrigerator
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5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Temperature conditions IN the domestic refrigerator
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upper shelf middle shelf
lower shelf door
Temperature ( C)
% o
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erat
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5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Temperature conditions IN the domestic refrigerator
Food products are exposed, throughout the distribution, including retail and domestic
storage, to effective temperatures that deviated significantly from the recommended range.
20%20%
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T (°C)
% s
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Average storage temperatures measured in different types of retail freezers
in several stores of a large supermarket chain. (Temperature data from
recent surveys conducted by NTUA in collaboration with a leading
supermarket chain).
Temperature conditions within retail display freezers
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Electronic Data Loggers
Data loggers were sealed in packages of products and monitored from processing through distribution to delivery and storage in Super Markets all over Greece.
Examples of data collection in the cold chain
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Sharp (but short) increases of temperature (during transport)
Cases of retail storage at temperatures >7°C
Significant temperature fluctuations
Quality of optimally processed food products depends on the
temperature conditions of storage, handling and distribution. Monitoring and control of these conditions would allow cold chain optimization and reliable product shelf life prediction.
Temperature conditions FROM production TO the retail outlet
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
ESTIMATION OF THE DEVIATION OF DISTRIBUTION AND
STORAGE TEMPERATURE FROM RECOMMENDED
FRISBEE PROJECT
TOOLS FOR COLD CHAIN MANAGEMENT
COLD CHAIN DATABASE
COLD CHAIN PREDICTOR SOFTWARE
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold Chain Management
Food Refrigeration Innovations for Safety, Consumers’
Benefit, Environmental Impact and Energy Optimisation
Along the Cold Chain in Europe
EC 7th Framework RTD Project Grant agreement no.: 245288
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
FRISBEE Project
Collection of existing data on cold chain
Data from all stages of the cold chain (from production to consumption) is being
collected, and weak links for different types of products identified. The consortium already
has a core of survey data of product temperature evolution along the supply chain for
products such as yoghurt, meat and fish products in different European regions. Other
available data, i.e., published data, data from the industry and cold chain parties
(distributors, retailers), from associations and research projects is included.
Systematic analysis of these data will allow identification of the weak links of the cold
chain and serve as a tool for cold chain management with regards product quality and
shelf life.
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Development of comprehensive database on cold chain in Europe
How can I contribute my data?
Visit FRISBEE website
http://www.frisbee-project.eu/
Development of comprehensive database on cold chain in Europe
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Database development on cold chain
htpp://www.frisbee-project.eu/coldchaindb.html
WP2 - Cold Chain Data Collection
Please Enter Username and Password and press "Login"
Username :
Password :
Login
If you do not have a username you can create a new account
, or contact us at frisbee@chemeng.ntua.gr to receive your account details
Visit FRISBEE Cold Chain Data Collection Platform
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Collection of existing data on cold chain
htpp://www.frisbee-project.eu/coldchaindb.html
Cold chain database
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
htpp://www.frisbee-project.eu/coldchaindb.html
Add Cold Chain Data 0
Stage/step of cold chain Required Field Production stage - food chilling operation
Production stage - food freezing operation
Production warehouse
Transportation
Distribution warehouse
Retail warehouse
Hypermarket
Supermarket
Hard discounter
Grocery
Retail display
Consumer domestic refrigerator
Transportation by consumer - Retail to home
Complete cold chain
Other
Country of origin Required Field
Please select an item
Destination country Please select an item
Sample Date 03/03/2011
Time data logger started collecting data (hrs:min)
Please select an item
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold chain database htpp://www.frisbee-project.eu/coldchaindb.html
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold chain database
htpp://www.frisbee-project.eu/coldchaindb.html
View data uploaded by the user After the completion of your upload you can see all the files that have been uploaded by the user in a list.
If you click one set e.g.
, you will see two options:
Click
where you can download the uploaded .xls file
or click
where you can see all the descriptive information of the selected file.
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold chain database
htpp://www.frisbee-project.eu/coldchaindb.html
Large number of temperature profiles FROM production UPTO the consumer
Representative t-T profile
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold chain database
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Representative t-T profile
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
FRISBEE European Cold Chain Database
On the left panel the user can see the list of records matching the selected search criteria. In order to see the data of a specific record click on the record name (e.g. 6410mins, 1.1 to 10.2 C).
FRISBEE European Cold Chain Database
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
FRISBEE European Cold Chain Database
Meta-data of each t-T profile
FRISBEE European Cold Chain Database
Cold Chain Data collection
More than 9000 files have been contributed,
130 accounts created
Chilled and frozen food products t-T profiles contributed
Dynamically growing
Data Collection
Saving data on server
Reviewing contributed data
Reviewing meta-data
Data screening
Development of comprehensive database on cold chain in Europe
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
10/2011 04/2012 07/2012
3230 profiles
4430 profiles
4940 profiles
On going…
5040 profiles
*12/2011
3250 profiles
09/2012
9000 profiles
11/2012
5560 profiles
05/2013
! Dynamically growing
FRISBEE European Cold Chain Database
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Total number of Records: 9000
Type of Data Food storage temperature range
0,00
10,00
20,00
30,00
40,00
50,00
60,00
chilled superchilled
frozen other
51,88
0,03
41,18
6,91
Set of T values for a time period
69%
Single T
measurement
31%
Development of comprehensive database on cold chain in Europe
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
0,00
5,00
10,00
15,00
20,00
25,00
30,00
35,00
40,00
45,00
Me
at and
M
eat p
rod
uct
Fish an
d Fish
p
rod
uct
Fruit an
d
Fruit p
rod
uct
Ve
getab
les
Milk an
d M
ilk p
rod
uct
Mixe
d
Oth
er
28,72
0,18 0,24 1,77
27,65
1,07
40,37
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Total number of Records: 9000
Development of comprehensive database on cold chain in Europe
Country of origin
0,95
56,50
0,04
21,81
0,11 1,86
0,02
9,61
6,77
2,33
0,00
10,00
20,00
30,00
40,00
50,00
60,00
Belgium France Germany Greece Hungary Netherlands Spain UK North America
Other
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Total number of Records:
Development of comprehensive database on cold chain in Europe
9000
Development of comprehensive database on cold chain in Europe
0,00
10,00
20,00
30,00
40,00
0,08 0,11 2,97
12,40
5,49 2,85 6,45
3,92
19,37
2,57
38,85
3,57
19,36
10,43
3,34 2,72
Stage/step of cold chain
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Development of comprehensive database on cold chain in Europe
Total number of Records: 9000
Gain access to Cold
Chain Database platform
Predict quality and shelf
life of products
Determine food product
quality along the cold
chain
Manage your own time-
Temperature data
CONTRIBUTE
YOUR DATA:
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Why should I contribute my data?
Retrieve time-temperature
profiles according to user defined criteria
Build a representative time temperature profile
Access to files &
Descriptive statistics
Quality & Shelf life data
Technology energy
requirements
Product quality status Shelf life at different stages
From production to consumption
What is ColdBase?
Development of comprehensive database on cold chain in Europe
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold Chain Predictor Software
Determination of the product quality status and shelf life at the different stages of the cold chain
Determination of product quality status and shelf life at the different stages of the cold chain
Cold Chain Database
Quality & Shelf Life Data
Representative t-T Profile along the
Cold chain
Food Quality Modeling
Monte Carlo simulation
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Development of comprehensive database on cold chain in Europe
Step 1: Build Cold Chain using the Cold Chain Database
Cold Chain Database
Quality & Shelf Life Data
Representative t-T Profile along the
Cold chain
Safety & Quality Modeling
Step 3: Use the Representative t-T profile and predictive kinetic models
Step 4: Estimate the Shelf Life Remaining at the end of the cold chain
Step 2: Build Representative t-T profile
Determining the product quality status and shelf life at the different stages of the cold chain
Cold Chain Database & FRISBEE CCP Software Cooked ham case study
Step 1: Build Cold Chain using the Cold Chain Database
http://frisbee-wp2.chemeng.ntua.gr/coldchaindb
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold Chain Predictor
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Step 1: Build Cold Chain using the Cold Chain Database
Step 2: Build Representative t-T profile
Step 3: Use the Representative t-T profile and predictive kinetic models
Step 4: Estimate the Shelf Life Remaining at the end of the cold chain
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Step 1: Build Cold Chain using the Cold Chain Database
Step 2: Build Representative t-T profile
Step 3: Use the Representative t-T profile and predictive kinetic models
Step 4: Estimate the Shelf Life Remaining at the end of the cold chain
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
Step 1: Build Cold Chain using the Cold Chain Database
Step 2: Build Representative t-T profile
Step 3: Use the Representative t-T profile and predictive kinetic models
Step 4: Estimate the Shelf Life Remaining at the end of the cold chain
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
Step 1: Build Cold Chain using the Cold Chain Database
Step 2: Build Representative t-T profile
Step 3: Use the Representative t-T profile and predictive kinetic models
Step 4: Estimate the Shelf Life Remaining at the end of the cold chain
Shelf Life Remaining at the end of the cold chain: 43.3 days
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
Step 1: Build Cold Chain using the Cold Chain Database
Step 2: Build Representative t-T profile
Step 3: Use the Representative t-T profile and predictive kinetic models
Step 4: Estimate the Shelf Life Remaining at the end of the cold chain
Taking into account the isothermal steps of representative t-T profile…
Shelf Life Remaining at the end of the cold chain: 43.3 days
Tem
pe
ratu
re
Transportation (0.3 days)
Distribution warehouse
(3 days)
Transportation (0.3 days)
Distribution warehouse (2.2 days)
Transportation (0.3 days)
Retail Display (1.9 days)
Transportation by consumer
(1 hour)
Consumer refrigerator (3 days)
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
Taking into account the isothermal steps of representative t-T profile…
Shelf Life Remaining at the end of the cold chain: 43.3 days
Taking into account the actual
distribution of effective average
temperature per stage throughout the cold chain…
Transportation (0.3 days)
Distribution warehouse
(3 days)
Transportation (0.3 days)
Distribution warehouse (2.2 days)
Transportation (0.3 days)
Retail Display (1.9 days)
Transportation by consumer
(1 hour)
Consumer refrigerator (3 days)
Tem
pe
ratu
re
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Determining the product quality status and shelf life at the different stages of the cold chain:
Milk products case study
0
10
20
30
40
50
60
70
41,60 41,88 42,17 42,45 42,74 43,02 43,30 43,59
Shelf Life Remaining (days)
Fre
qu
en
cy
[%
]
Cold Chain
Management Tools
Search within almost 9000 profiles of
the European Food Cold Chain Database
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold Chain Management
effectively manage and improve cold chain weak links. offer concepts and solutions for improving refrigeration and food product shelf life
management along the European food cold chain. allow one to run simulations and distribution scenarios based on real cold chain data. information from the Cold Chain Database may be retrieved and used to determine the
behaviour of food products along the cold chain avoiding costly and time-consuming field tests
FRISBEE Tools
European Cold Chain Database
Cold Chain Predictor Software
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Cold Chain Management
Further Data Collection - Expansion of Cold Chain Database
Validation of the FRISBEE developed tools – Field survey
studies in four European countries
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Next Steps
Field tests conducted in 4 European countries
Greece, France, Belgium, UK
Production/Production Warehouse
Distribution Warehouse 2 distribution centers
Supermarket Warehouse and Display 24 supermarkets stores in 12 Greek cities
Consumer Transport
Consumer domestic refrigerator
Validation of comprehensive database on cold chain in Europe - Field test in cold chain in
European markets
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
FOOD PRODUCT Product: Smoked turkey slices Packaging: An outside plastic transparent container within which the slices are placed vacuum packed (skin packed) in a second film Shelf life: 2 months
DATALOGGER Mini Nomad RFID temperature logger Omega Engineering Inc.
FIELD TEST DESIGN
Conducted in two time periods: June & October 2012
24 supermarket stores, 12 cities in Greece
Dataloggers retrieval has been completed
145 dataloggers were successfully retrieved
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Validation of comprehensive database on cold chain in Europe - Field test in cold chain in
European markets
Field Test Cold Chain Stages
Validation of comprehensive database on cold chain in Europe - Field test in cold chain in
European markets
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Production/Production Warehouse
Distribution Warehouse 2 distribution centers
Supermarket Warehouse and Display 24 supermarkets stores in 12 Greek cities
Consumer Transport
Consumer domestic refrigerator
Production/ Production Warehouse
Distribution platform for supermarket
Distribution platform for hypermarket
Supermarket Hypermarket
Transport by consumer
Domestic refrigerator
Transport by consumer
Domestic refrigerator
2
2
6
4
5
11
2 11
12
4
8
5
4
Validation of comprehensive database on cold chain in Europe - Field test in cold chain in
European markets
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Production Warehouse
Supermarket Warehouse
Supermarket Outlet (open fridge)
Consumer domestic refrigerator
Transportation to Distribution Center
Distribution Center
Transportation to supermarket
Transportation by consumer
0
2
4
6
8
10
12
14
16
18
20
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
Time (days)
Tem
per
atu
re (o
C)Field test time temperature profiles: Complete Cold Chain-Retrieved profile
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Validation Experiments Cold chain simulation
Selection of time-temperature profiles Reproduced in time-temperature controlled cabinets 2 scenarios Representative t-T profile built by CCP software Worst case scenario
Sampling at predetermined times Simulated to different cold chain stages Parameters to be measured Total viable counts Lactic acid bacteria counts Sensory evaluation
Remaining shelf life determination Tools: Kinetic models FRISBEE Cold Chain Predictor Software
Time (days)
0 2 4 6 8
Te
mp
era
ture
(o
C)
0
5
10
15
20AB Éëéóéá
Time (days)
0 2 4 6 8
Te
mp
era
ture
(o
C)
0
5
10
15
20AB Çñáêëåéï
Time (days)
0 2 4 6 8 10
Te
mp
era
ture
(o
C)
0
5
10
15
20AB ×ï ëáñãï ò
Taking into account Retrieved t-T profiles from the conducted field tests
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
Validation of comprehensive database on cold chain in Europe - Field test in cold chain in
European markets
Data from all stages of the cold chain (from production to consumption) was
collected. Systematic analysis of these data allows identification of the weak links
of the cold chain and serves as a tool for cold chain management with regards
product quality and shelf life.
The Cold Chain Predictor software uses t-T profiles from the Cold Chain Database
to develop “representative” (statistically most probable) description of the cold
chain stages of different foods and estimate remaining shelf-life of different food
products based on user defined quality models or selected from a library.
5th International Workshop, Cold Chain Management June 10-11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering – National Technical University of Athens
CONCLUSIONS
Petros Taoukis taoukis@chemeng.ntua.gr
http://www.frisbee-project.eu
COLD CHAIN EVALUATION AND MANAGEMENT USING FRISBEE PROJECT PREDICTION TOOLS
5th International Workshop Cold Chain Management June 10 – 11, 2013 Bonn
Laboratory of Food Chemistry & Technology School of Chemical Engineering
National Technical University of Athens
The research leading to these results has received funding from the European Community‘s Seventh Framework Programme (FP7/2007-2013) FRISBEE under grant agreement No245288
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