Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor

Empirical correlations have been developed to relate experimentally determined starch nanoparticle size obtained in a solvent–antisolvent precipitation process with key hydrodynamic parameters of a spinning disc reactor (SDR). Three different combinations of dimensionless groups including a conventi...

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Bibliographic Details
Main Authors: Sahr Sana, Vladimir Zivkovic, Kamelia Boodhoo
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/10/11/2202
Description
Summary:Empirical correlations have been developed to relate experimentally determined starch nanoparticle size obtained in a solvent–antisolvent precipitation process with key hydrodynamic parameters of a spinning disc reactor (SDR). Three different combinations of dimensionless groups including a conventional Reynolds number (<i>Re</i>), rotational Reynolds number (<i>Re<sub>ω</sub></i>) and Rossby number (<i>Ro</i>) have been applied in individual models for two disc surfaces (smooth and grooved) to represent operating variables affecting film flow such as liquid flowrate and disc rotational speed, whilst initial supersaturation (<i>S</i>) has been included to represent varying antisolvent concentrations. Model 1 featuring a combination of <i>Re</i>, <i>Re<sub>ω</sub></i> and <i>S</i> shows good agreement with the experimental data for both the grooved and smooth discs. For the grooved disc, <i>Re</i> has a greater impact on particle size, whereas <i>Re<sub>ω</sub></i> is more influential on the smooth disc surface, the difference likely being due to the passive mixing induced by the grooves irrespective of the magnitude of the disc speed. Supersaturation has little impact on particle size within the limited initial supersaturation range studied. Model 2 which characterises both flow rate and disc rotational speed through <i>Ro</i> alone and combined with <i>Re</i> was less accurate in predicting particle size due to several inherent limitations.
ISSN:2079-4991