Nucleation Behavior of <i>n</i>-Alkane Microdroplets in an Electrodynamic Balance

Weidinger, Inez M.; Klein, J.; Stöckel, and P.; Baumgärtel, H.; Leisner, Thomas

doi:10.1021/jp0205362

Cited by 28 publications

(60 citation statements)

References 30 publications

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“…Similar behavior of the log(P 0 ) curve has already been observed in the literature (Kim et al, 2013;Weidinger et al, 2003;Toldy et al, 2012, Boinovich et al, 2014. In all these studies, the log(P 0 ) curve also starts with a plateau at lower time scale (indicating very little nucleation), and then the nucleation probability curves decreases, dropping more and more steeply as time increases.…”

Section: Tablesupporting

confidence: 86%

Investigation of a microfluidic approach to study very high nucleation rates involved in precipitation processes

Vitry

Teychené

Charton

et al. 2015

Chemical Engineering Science

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Fast nucleation rates were measured in a droplet-based microfluidic system. The nucleation rate of neodymium oxalate is found to increase with time. The chip design enables to decouple nucleation from mixing. Huge supersaturation ratio can be reached without nucleation. a b s t r a c tA microfluidic device has been specially developed to enable the study of fast nucleation kinetics involved in precipitation processes. This setup allows drops of two different reagents to be generated synchronously and to coalesce, and ensure the mixing of their reactants within few milliseconds. The results presented in this paper show that droplet based microfluidic devices are promising tools for studying high nucleation rates involved in precipitation processes. By using the stochastic nature of the nucleation process and the effect of the confinement on the induction time, a tailored microfluidic device has been used to measure nucleation rates as high as J ¼7.68 Â 10 13 m À 3 s À 1 . Moreover, kinetic data deriving from nucleation experiments were found in good agreement with data deriving from "conventional" technics.

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Section: Tablesupporting

confidence: 86%

Investigation of a microfluidic approach to study very high nucleation rates involved in precipitation processes

Vitry

Teychené

Charton

et al. 2015

Chemical Engineering Science

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“…The nucleation rates of ice in water drops (Kramer et al, 1999), organic molecules (Weidinger et al, 2003) and proteins (Knezic et al, 2004) have been investigated by measuring the fraction of crystallized drops over time using a model based on Eq. (4).…”

Section: Theorymentioning

confidence: 99%

Crystallization of alpha-lactose monohydrate in a drop-based microfluidic crystallizer

Dombrowski

Litster

Wagner

2007

Chemical Engineering Science

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“…The deterministic population balance models and moment equations used by various researchers3,20 to estimate nucleation kinetics do not capture this stochastic behavior, which has been characterized in a series of high-throughput constant-supersaturation experiments 25,26,27,28,29. Nucleation kinetics have been fit to average induction times, to the proportion of drops not containing crystals as a function of time, and to the average number of crystals per drop at long times 25,27,28,30,31. The Poisson distribution provided a good fit to distributions in the number of lysozyme and lactose crystals nucleated at constant supersaturation in droplets using temperature jump techniques 25,28.…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Model for Nucleation Kinetics Determination in Droplet-Based Microfluidic Systems

Goh

Chen

Bhamidi

et al. 2010

Crystal Growth & Design

121

196

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The measured induction times in droplet-based microfluidic systems are stochastic and are not described by the deterministic population balances or moment equations commonly used to model the crystallization of amino acids, proteins, and active pharmaceutical ingredients. A stochastic model in the form of a Master equation is formulated for crystal nucleation in droplet-based microfluidic systems for any form of nucleation rate expression under conditions of time-varying supersaturation. An analytical solution is provided to describe the (1) time evolution of the probability of crystal nucleation, (2) the average number of crystals that will form at time t for a large number of droplets, (3) the induction time distribution, and (4) the mean, most likely, and median induction times. These expressions are used to develop methods for determining the nucleation kinetics. Nucleation kinetics are determined from induction times measured for paracetamol and lysozyme at high supersaturation in an evaporation-based high-throughput crystallization platform, which give low prediction errors when the nucleation kinetics were used to predict induction times for other experimental conditions. The proposed stochastic model is relevant to homogeneous and heterogeneous crystal nucleation in a wide range of droplet-based and microfluidic crystallization platforms.

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Nucleation Behavior of n-Alkane Microdroplets in an Electrodynamic Balance

Cited by 28 publications

References 30 publications

Investigation of a microfluidic approach to study very high nucleation rates involved in precipitation processes

Investigation of a microfluidic approach to study very high nucleation rates involved in precipitation processes

Crystallization of alpha-lactose monohydrate in a drop-based microfluidic crystallizer

A Stochastic Model for Nucleation Kinetics Determination in Droplet-Based Microfluidic Systems

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