OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Applicability of Probabilistic Nucleation Modelling for the Analysis of Microfluidics Data

Bourgeois, Florent and Teychené, Sébastien and Biscans, Béatrice Applicability of Probabilistic Nucleation Modelling for the Analysis of Microfluidics Data. (2017) Kona Powder and particles. ISSN 0288-4534

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
6MB

Official URL: http://dx.doi.org/10.14356/kona.2018017

Abstract

Microfluidics tools have been developing rapidly over the past decade, as they offer unparalleled ability for controlling nucleation and tracking crystallisation events inside very large numbers of individual nanolitre-size droplets. They have demonstrated a significant potential for screening protein crystallization conditions and for the direct determination of inorganic products solubility curves. The accepted basis for analysing microfluidics data is the probabilistic nucleation model originally proposed by Pound and La Mer (1952). Given the significance of this model for the purpose of analysing microfluidics data, the paper conducts a review of its hypotheses, usage and applicability. A step-by-step derivation of the model equations confirms that the time variation of the proportion of empty droplets which microfluidics experiments can provide with high accuracy is indeed the recommended method for estimation of nucleation kinetic parameters from microfluidics experiments. The paper shows that, depending on its implementation, the model predicts different rates of appearance of crystals inside individual droplets. The paper focuses on two distinct implementation modes, referred to as constant supersaturation and single nucleation event modes. By confronting model prediction with microfluidics measurements for eflucimibe in octanol, the paper finds that both modes yield different model predictions, shedding light on the potential and limits of the probabilistic nucleation model for the analysis of microfluidics data.

Item Type:Article
Additional Information:Thanks to Kona powder and particle journal. The definitive version is available at https://www.jstage.jst.go.jp/article/kona/advpub/0/advpub_2018017/_article
Audience (journal):International journal (no peer-reviewed)
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Laboratory name:
Statistics:download
Deposited By: Florent BOURGEOIS
Deposited On:03 Nov 2017 13:29

Repository Staff Only: item control page