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1 Evaporative Drying of Droplets and the Formation of Structured and Functional Microparticles Florence Gregson University of Bristol Supervised by Prof. Jonathan Reid Contents Abstract ................................................................................................................................................... 1 Introduction ............................................................................................................................................ 2 Evaporation Kinetics ............................................................................................................................... 2 Experimental Techniques........................................................................................................................ 5 Optical Trapping .................................................................................................................................. 5 Measuring the bulk aerosol viscosity .............................................................................................. 5 Electrodynamic Balance: ..................................................................................................................... 6 Rapid Measurements of Evaporation in a Falling Droplet Instrument ............................................... 7 Aims of this project ................................................................................................................................. 7 Conclusions ............................................................................................................................................. 9 References .............................................................................................................................................. 9 Abstract Spray drying is a highly common industrial process, forming micron-sized particles by drying a stream of aerosolised solution. The process through which a solid particle forms through evaporative drying is incredibly complex, and many competing internal processes can lead to an array of different structures of final product. The aim of this project is to put together a detailed kinetic model of the effects of formulation and processing conditions on the evaporation of single aerosol droplets. Rapid evaporation of droplets in an electrodynamic balance (EDB) can push conditions far out of equilibrium and reflect the conditions within a spray drier. Optical traps (OT) can be used to determine properties of droplets at discrete compositions, which an evaporating droplet will transit through as it dries in an EDB. The combination of these techniques with detailed simulations of heat and mass transport during droplet evaporation, could lead us to learn more about the mechanisms that control particle formation in spray-drying. Ultimately, our goal is the capability to accurately predict and control the formation of micro-structured particles for industrial applications.
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Evaporative Drying of Droplets and the Formation of Structured and Functional Microparticles

Florence Gregson

University of Bristol

Supervised by Prof. Jonathan Reid

Contents Abstract ................................................................................................................................................... 1

Introduction ............................................................................................................................................ 2

Evaporation Kinetics ............................................................................................................................... 2

Experimental Techniques ........................................................................................................................ 5

Optical Trapping .................................................................................................................................. 5

Measuring the bulk aerosol viscosity .............................................................................................. 5

Electrodynamic Balance: ..................................................................................................................... 6

Rapid Measurements of Evaporation in a Falling Droplet Instrument ............................................... 7

Aims of this project ................................................................................................................................. 7

Conclusions ............................................................................................................................................. 9

References .............................................................................................................................................. 9

Abstract Spray drying is a highly common industrial process, forming micron-sized particles by drying a stream

of aerosolised solution. The process through which a solid particle forms through evaporative drying

is incredibly complex, and many competing internal processes can lead to an array of different

structures of final product. The aim of this project is to put together a detailed kinetic model of the

effects of formulation and processing conditions on the evaporation of single aerosol droplets. Rapid

evaporation of droplets in an electrodynamic balance (EDB) can push conditions far out of

equilibrium and reflect the conditions within a spray drier. Optical traps (OT) can be used to

determine properties of droplets at discrete compositions, which an evaporating droplet will transit

through as it dries in an EDB. The combination of these techniques with detailed simulations of heat

and mass transport during droplet evaporation, could lead us to learn more about the mechanisms

that control particle formation in spray-drying. Ultimately, our goal is the capability to accurately

predict and control the formation of micro-structured particles for industrial applications.

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Introduction The evaporation of liquid droplets is a highly complex problem and is still poorly understood. The

kinetics of the evaporation process can vary vastly depending on the drying conditions and

formulation of the feed solution. Advances in the understanding of process-structure relationships in

evaporating droplets in spray-driers would greatly improve product quality and reproducibility.

Spray drying is the industrial process of producing powders through the aerosolisation of a solution

or slurry, followed by rapid evaporation of the solvent by feeding the aerosol into a flow of hot air.

The remaining material takes the form of dehydrated particles in the micron-sized regime. It is

popular in the food and pharmaceutical industries because the short residence time enables the use

of heat-sensitive materials that would otherwise deteriorate under high temperatures or pressures.

(Fu et al. 2012) Examples of products made through spray-drying are milk or coffee powders, paints,

pigments and powdered drugs.

There are associated challenges with understanding spray-drying and predicting final particle

structure and phase. Although the technique has long been used industrially, the factors that govern

the development of droplet morphology through the evaporation process is still an area of ongoing

research. The process is highly condition-dependent; a single droplet can evolve into a wide array of

possible structures depending on process parameters such as the initial feed composition and

concentration, temperature of the drying chamber and the humidity. Mass and heat transfer are

strongly coupled, and mechanical instability of evaporating droplets can lead to wide varieties of

shapes. Droplets such as solid or hollow spheres, buckled flat particles, smooth or spiky surfaces,

doughnut shapes or porous shells have been observed. (Iskandar et al. 2003; Nandiyanto &

Okuyama 2011; Vladisavljević 2015; Lähde et al. 2006) The morphology of dried particles can be

highly critical for the application; for example, in the pharmaceutical industry the size and size

distribution is an important factor in dose delivery, and the solubility can be highly dependent on

size, shape and phase (amorphous or crystalline) (Pilcer & Amighi 2010). Compositions of different

constituents may not be radially homogeneous across the final particle due to internal diffusion

limitations during drying. In addition, stability of the dried microparticles against agglomeration and

crystallisation is essential to avoid product failure. (Amstad et al. 2016)

As the spray-drying process occurs in the aerosol phase, bulk studies of the solutions are not always

relevant or useful, as the characteristic deliquescence/efflorescence hysteresis loop of aerosol phase

behaviour leads to delays between saturation and crystallisation. Highly supersaturated liquids can

be formed in the aerosol phase which would are not accessible in bulk experiments. Studying single

droplet evaporation in a controlled environment could further our understanding of the

fundamental microphysics and could provide insight into the industrial process. (Sadek et al. 2015)

First, I will discuss what is currently known about evaporation kinetics of aerosol droplets, and what

challenges remain. Then I will discuss the experimental techniques available for studying droplet

drying at the single particle level, and the aims of how we will approach this project.

Evaporation Kinetics Evaporation of a droplet within a spray-drier involves the coupling of heat and mass transfer. The

driving force for drying is the difference between the solvent vapour pressure above the droplet

surface and the solvent partial pressure within the gas phase. The energy of vaporisation of the

solvent balances with the energy transfer to the droplet’s surface to determine the evaporation rate,

which is often quantified by the decrease in surface area of the droplet with time. (Miller et al. 1998)

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The Peclet number is a dimensionless number used to describe the conditions for droplet drying

during the spray drying process. It is a dimensionless number representing the ratio between the

rate of the solvent evaporation and the rate of diffusional solute motion, thus reflecting the chance

of the composition remaining homogeneous. A Peclet number lower than 1 indicates that

homogeneous mixing of components will remain fast throughout the drying process relative to the

rate at which the surface recedes, leading to solid, dense and crystalline particles. Conversely, a

Peclet number greater than 1 leads to surface enrichment of solute, leading to dried particles that

are hollow or porous (see Fig. 1). However, it is still a simple depiction and does not fully describe

the process, especially when more than one solute is present.

Figure 1: Glycoprotein particles produced by a monodisperse droplet chain dispenser in dry air. The Peclet number for each evaporation process (from left to right) is 2.7, to 5.6, to 16.8, for the drying temperatures of 25, 50 and 125 °C respectively. (Reprinted (adapted) with permission from (Vehring 2008). Copyright 2008 Springer.)

Control over the mechanisms of crystallisation in evaporating aerosol is still poorly achieved. The

particles can enter supersaturation regimes due to delayed crystallisation. If supersaturation is

reached, the viscosity can rise leading to slow diffusion and a reduced rate of nucleation, delaying

crystallisation further (Lee et al. 2016). The precipitation window is the time window during which

crystallisation could occur: between the point of supersaturation of the solute on the surface, to the

completion of the evaporation process (see Fig. 2). The solute can begin to precipitate at any point in

the precipitation window, although this could be as an amorphous solid.

In multi-component systems, every component in the solution will have a different precipitation

window. It has been suggested that the component with the longest precipitation window

dominates the particle formation process, as it probably crystallises first, and is hence more likely to

reside in the outer shell of the dried particle. (Baldelli et al. 2016) The radial distribution of co-spray

dried components has been shown to be controllable by adjusting the precipitation windows,

through fine-tuning the formulation. (Baldelli & Vehring 2016)

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Figure 2: Schematic to show the evolution of surface concentration with time through the drying process until the point of crystallisation.

The precipitation window (ts) for a solvent begins when the surface concentration equals its solubility, and ends at crystallisation.

The longer the precipitation window for a solution, the higher the chance of forming a shell earlier in

the drying process. Thus, long precipitation windows make the presence of an internal void more

likely, leading to a lower density. Density control is highly desired in particle engineering across

many industries; for example hollow, low density particles are often desired for their dispersibility in

lung drug delivery applications. (Edwards et al. 1997) There are examples of work on controlling

density by inducing early precipitation of one component through its weak solubility in the solvent,

leading to heterogeneous crystallisation of the other components. (Vanbever et al. 1999) Also,

particles with an incredibly low density (as low at 0.1 g cm-3) have been produced using emulsion

aerosol droplets. A dispersed solvent evaporates rapidly leaving large pores in the final particle shell.

(Dellamary et al. 2000)

The mechanical properties of the shell also can dictate the final particle morphology, leading to

collapsed particles or spherical particles that retain their shape throughout the evaporation process.

Adjusting the ionic strength and Debye length of colloids in an evaporating droplet has been shown

to drastically change the mechanical stability of the shell (see Fig. 3). (Lintingre et al. 2015) The shell

remains spherical when there is a balance between the electrostatic colloidal repulsion and the

Darcy pressure, which is the pressure induced by solvent flux to the surface during drying. (Tsapis et

al. 2005)

Figure 3. The morphology of spray-dried particles of colloidal zirconia-water suspensions, at different weight percentages of Polyacrylic Acid (PAA). Values are given in wt%/zirconia; images shown with a 1mm scale bar. The dried particles retain their spherical shape only at low absolute values of PAA (between -25 mV and 25 mV). ( Reprinted (adapted) with permission from Lintingre et al., 2015. Copyright 2015 Royal Society of Chemistry.)

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Experimental Techniques Single particle techniques to study evaporation can be carried out with a sessile droplet, i.e. one

deposited on a surface (Larson 2014), with a free-falling chain of droplets (Baldelli & Vehring 2016),

in a suspended droplet (Renksizbulut & Yuen 1983) or by levitating it in free air. Levitation methods

could be optical, acoustic, electrodynamic, (Knezic et al. 2004; Paul 1990) or thermal i.e. using the

Leidenfrost technique. (Biance, Clanet, & Quéré, 2003)

In my project, I will be using optical trapping, the electrodynamic balance technique and the

monodisperse droplet chain technique to study evaporating aerosol droplets. Combining these

techniques with detailed simulations of heat and mass transport from collaborators, we will aim to

produce a detailed kinetic model which accurately demonstrates the transfer of mass and heat in an

evaporating droplet, progressing from simple multicomponent mixtures of soluble and miscible

components through to mixed phase systems including emulsion droplets.

Optical Trapping Optical traps (OTs) can be made by passing a laser beam through an objective of high numerical

aperture causing it to very tightly focus. Injecting a cloud of micron-sized aerosol droplets into the

trapping chamber results in a droplet becoming trapped at the focus of the laser. A trapped droplet

equilibrates at a particular relative humidity (RH), controlled by a gas-flow, and its properties can be

spectroscopically probed. The radius and refractive index can be measured with Raman

spectroscopy by detecting the inelastic scattering of the trapping laser. Total internal reflection of

the Raman light inside the droplet results from the existence of discrete Whispering Gallery Modes,

which are dependent on both the droplet size and refractive index. (Chen et al. 1991) The droplet’s

size and refractive index can be extracted in an offline computational step using Mie theory, which is

an exact solution to Maxwell’s equations describing monochromatic light passing through spherical

dielectric particles. (Carruthers et al. 2010) Please refer to a previous publication for a more detailed

description of the set-up. (Song et al. 2016)

Measuring the bulk aerosol viscosity The viscosity of an aerosol particle can be measured in droplet coalescence experiments using the

OTs. If two droplets are held in separate traps and brought together in space, the time constant for

the relaxation in shape following coalescence can give the solution viscosity at the water activity

dictated by the RH. (Bzdek et al. 2016) Assuming the two droplets have homogeneous compositions,

when the two droplets coalesce the resulting particle will oscillate in shape. The particle shape

initially is far from spherical, and capillary forces induce its relaxation back to a sphere to minimise

the surface energy. (Song et al. 2016) These oscillations are under-damped for very low-viscosity

solutions (on the order of 10-3 Pa s) and can be observed through the elastic back-scattering of the

trapping laser to retrieve the time constant τ (see Fig. 4). The viscosity can then be retrieved using

equation 1. (Power & Reid 2014)

𝜏1 =𝑎2𝜌

(𝑙 − 1)(2𝑙 + 1)𝜂

where a is the final (relaxed) droplet radius and ρ and η are the droplet’s density and

viscosity, respectively. l is the deformation mode for the relaxing sphere, with the l=2 mode can be

assumed to be the most dominant.

(1)

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Figure 4: An example of the decay in elastic light scattering for two aerosol droplets during coalescence and relaxation to a single spherical particle. The peaks can be fitted to a first order exponential decay to extract the time constant, τ, for the coalescence, which can be used to determine the viscosity of the solution at that particular RH. Shown here, sodium nitrate aerosol droplets at a RH of 83.40%.

If the viscosity is higher than a critical value (depending on the size of the particle, but ~20 mPa s for

the droplet sizes appropriate for our work), the particle relaxes in a slowly creeping viscous mode

rather than an oscillation. This leads to an overdamped decay of reducing aspect ratio of the shape

with time, which can be detected using Bright-field imaging (see Fig. 5). This techniques offers the

capability to thus measure the viscosity of aerosol particles over a range from 10-3 to 1010 Pa s.

Figure 5: An example of analysis of the Bright-field images of a coalescence between two droplets to determine the time constant, τ. The reducing aspect ratio with time can be fitted to an exponential decay. The aspect ratio cannot be measured when the particles re-orient inside the trap during relaxation. This example shows sucrose droplets at a RH of 41%. From Y. C. Song 2016.

Electrodynamic balance: The electrodynamic balance (EDB) can probe rapid, dynamic out-of-equilibrium evaporation kinetics,

with conditions that closely replicate those within an industrial spray-drier. It can produce a curve of

decreasing radius with time, (Rovelli et al. 2016) of a droplet drying over the course of a few seconds

0.00000 0.00002 0.00004 0.00006 0.00008 0.00010

0.001

0.002

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0.004

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Time / s

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or as long as a few hours. During evaporation, the droplet transitions through compositions that can

be characterised using the steady conditions accessed in OT measurements. For example, the time-

dependent composition can be related to a time-dependent composition that can be presented as a

time-dependent viscosity based on the OT studies.

A droplet-on-demand generator produces individual droplets and injects them through an induction

electrode to become charged. They pass into the EDB cell which has a set of concentric cylindrical

electrodes above and below the droplet path, and when a AC/DC field is applied, the droplet

becomes trapped in the chamber as a result of the balance between the electric field, gravity and

Stokes drag force from a gas flow. This enables studies of rapid evaporation in an environment of

tuneable RH and temperature, with high reproducibility (see Fig. 6). (Miles et al. 2016)

Figure 6: (NH4)2SO4 solution droplets evaporating into different RHs in an EDB. (Reprinted (adapted) with permission from Rovelli et al., 2016. Copyright 2016 American Chemical Society)

Rapid Measurements of Evaporation in a Falling Droplet Instrument Another tool used in this project will be a new piece of equipment for measuring droplet

evaporation dynamics on timescales shorter (<10 ms) than the EDB (seconds). It will be similar in set-

up to the droplet chain producer used by Vehring et al. (Baldelli et al. 2015) Droplets will be

generated in a monodisperse chain, with a known generation frequency, produced as a result of an

electric pulse at a piezoceramic dispenser. The droplets then fall in a controlled path onto a

collection filter, and the path is illuminated by a diode laser which is pulsed in order to match the

droplet dispenser for stroboscopic image collection by a digital camera. The spacing between the

droplets in the images can be used to calculate the droplet velocity. There is a known gas-flow

velocity, so from the droplets’ terminal velocity the aerodynamic diameter of the falling droplets

with time can be determined. This can lead to information about the particle density with time

through the droplet evaporation process. Although these calculations only hold for spherical

particles prior to shell formation, this method has been demonstrated to be useful in measuring

saturation times, and precipitation windows. (Hoe et al. 2014) An additional benefit of this

technique is the ease of collection of the dried product, which can then be analysed with scanning

electron microscopy imaging to see the final morphology, or X-Ray diffraction for crystallinity data.

Aims of this project From the combination of these techniques as well as modelling support from collaborators, we will

aim to produce a detailed kinetic model which accurately demonstrates the transfer of mass and

heat in an evaporating droplet.

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In this project I will combine the techniques of OTs, the EDB and the falling droplet instrument to

assess the radial composition of a droplet throughout the evaporation process, across a broad range

of different formulations and processing conditions. I will try to produce a kinetic model that

accurately demonstrates the transfer of mass and heat in an evaporating droplet. The EDB and the

falling droplet instrument both replicate the rapid out-of-equilibrium evaporation occurring in a

spray drier, and can produce accurate measurements of changing radius and density with time. On

the other hand, optical tweezers can be used to equilibrate droplets for longer periods of time to a

specific RH, enabling us to probe the viscosity of droplets at different levels of supersaturation.

Many different levels of supersaturation may be present in a rapidly evaporating droplet. In high

Peclet number conditions, droplet evaporation occurs rapidly and the diffusional solute motion is

not fast enough to redistribute components within the droplet, leading to inhomogeneous particles.

The rate of diffusion at the surface of a droplet is much lower than at the core of the particle.

Modelling radial responses to step changes in RH allows us to determine the compositional

dependence of diffusion constants, so can lead to knowledge about the water activity at different

radial slices within a droplet. (O’Meara et al. 2016) We can use the tweezer measurements, and

assumptions about the Stokes Einstein relationship, (Chenyakin et al. 2016) to predict the diffusion

of components at each radial slice in a droplet for an accurate picture of how rapidly evaporating

droplets evolve in microstructure throughout the spray-drying process.

An example of a model performed by Andrew Bayly et al., collaborators on this project, is shown in

Figure 7. (Handscomb et al. 2009) The goal of this work will be to build on these principles and

experimentally replicate this study with a range of different formulations and processing conditions.

A commonly used model to observe evaporation or hygroscopic growth relies on assumptions such

as homogeneous composition, uncoupled heat and mass transfer, and mass accommodation

coefficients being equal to 1. (Kulmala et al. 1992) As previously discussed, these assumptions do not

hold in the context of spray-drying, due to the surface enrichment of solutes occurring during fast

out-of-equilibrium evaporation.

Figure 7: A simulation of the mass fraction at 5 s intervals of different radial positions within an aerosol droplet of aqueous sodium sulphate, as it evaporates. The dashed line at t=78 s is the point of shell formation, and the bold line at t=45 s indicates the point of surface saturation i.e. when the concentration of solute at the surface is equal to the solubility at that temperature. From Handscomb et al. (Reprinted (adapted) with permission from Handscomb et al. 2009. Copyright 2009 American Chemical Society)

In this project I will be pushing the conditions of an evaporating droplet far out of equilibrium, to

replicate the spray-drying conditions. The assumptions held for current evaporation models can be

deliberately broken, to see how well the model would describe the kinetics. For example, the mass

accommodation coefficient can be reduced down from a value of 1 using sequential addition of

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surfactants.(Karapetsas et al. 2016; Truskett & Stebe 2003) The diffusion within a particle could be

modified using additional bulky polymer components. In addition, it is possible that the extent of

coupling between heat and mass transport in an evaporating droplet could possibly be adjusted by

modifying the thermal diffusivity in the gas flow of the EDB. For example, a neon gas flow instead of

nitrogen would be much more thermally conducting, and thus heat flux between the droplet and the

surrounding air would be larger, enabling a greater mass flux in the presence of neon gas than

nitrogen. The effects of these changes in conditions can be addressed in simple solutions, such as

aqueous inorganic salts, followed by mixtures of solutes and co-solvents, and we could investigate

more complex formulations such as emulsions or solutions containing nanoparticles.

Conclusions In summary, the process of spray-drying aerosol droplets to produce powders is a widely used

commercial technique, however there are still many aspects of the kinetics of droplet evaporation

that are poorly understood. The current literature presents a vast array of studies on products

formed under different conditions, however in many cases it could be considered an art rather than

science. Rather than a bottom-up approach of predicting how a particle may form and using it to

engineer products, most research characterises why certain morphologies were produced under

different conditions. If the particle drying process can be predicted and controlled, a huge area of

particle engineering applications could be opened up across the food, pharmaceutical and cosmetic

industries.

References Amstad, E., Spaepen, F. & Weitz, D.A., 2016. Stabilization of the Amorphous Structure of Spray-Dried Drug Nanoparticles.

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Baldelli, A. et al., 2015. Analysis of the Particle Formation Process of Structured Microparticles. Molecular Pharmaceutics, 12(8), pp.2562–2573.

Baldelli, A. et al., 2016. Effect of crystallization kinetics on the properties of spray dried microparticles. Aerosol Science and Technology, 50(7), pp.693–704. Available at: http://www.tandfonline.com/doi/abs/10.1080/02786826.2016.1177163.

Baldelli, A. & Vehring, R., 2016. Control of the Radial Distribution of Chemical Components in Spray Dried Crystalline Microparticles. Aerosol Science and Technology, 6826(August).

Biance, A.L., Clanet, C. & Quéré, D., 2003. Leidenfrost drops. Physics of Fluids, 15(6), pp.1632–1637.

Bzdek, B.R. et al., 2016. Dynamic measurements and simulations of airborne picolitre-droplet coalescence in holographic optical tweezers. Journal of Chemical Physics, 145(5).

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Chen, G. et al., 1991. Frequency splitting of degenerate spherical cavity modes: stimulated Raman scattering spectrum of deformed droplets. Optics letters, 16(16), pp.1269–71. Available at: http://www.ncbi.nlm.nih.gov/pubmed/19776941.

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Handscomb, C.S., Kraft, M. & Bayly, A.E., 2009. A new model for the drying of droplets containing suspended solids. Chemical Engineering Science, 64(4), pp.628–637.

Hoe, S. et al., 2014. Use of a fundamental approach to spray-drying formulation design to facilitate the development of multi-component dry powder aerosols for respiratory drug delivery. Pharmaceutical research, 31(2), pp.449–465.

Iskandar, F., Gradon, L. & Okuyama, K., 2003. Control of the morphology of nanostructured particles prepared by the spray drying of a nanoparticle sol. Journal of Colloid and Interface Science, 265(2), pp.296–303.

Karapetsas, G., Chandra Sahu, K. & Matar, O.K., 2016. Evaporation of Sessile Droplets Laden with Particles and Insoluble Surfactants. Langmuir, 32(27), pp.6871–6881.

Knezic, D., Zaccaro, J. & Myerson, A.S., 2004. Nucleation induction time in levitated droplets. Journal of Physical Chemistry B, 108(30), pp.10672–10677.

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Lähde, A. et al., 2006. Aerosol Synthesis of Inhalation Particles via a Droplet-to-Particle Method. Particulate Science and Technology, 24(1), pp.71–84. Available at: http://www.tandfonline.com/doi/abs/10.1080/02726350500403199#.VMu9KmiHhUs.

Larson, R.G., 2014. Transport and deposition patterns in drying sessile droplets. AIChE Journal, 60(5), pp.1538–1571.

Lee, S. et al., 2016. Multiple pathways of crystal nucleation in an extremely supersaturated aqueous potassium dihydrogen phosphate (KDP) solution droplet. Proceedings of the National Academy of Sciences, 113(48), p.201604938.

Lintingre, É. et al., 2015. Controlling the buckling instability of drying droplets of suspensions through colloidal interactions. Soft Matter, 11(18), pp.3660–3665. Available at: http://xlink.rsc.org/?DOI=C5SM00283D.

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