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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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
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author Sahr Sana
Vladimir Zivkovic
Kamelia Boodhoo
author_facet Sahr Sana
Vladimir Zivkovic
Kamelia Boodhoo
author_sort Sahr Sana
collection DOAJ
description 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.
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spelling doaj.art-5db8b503c7ff40fcaddef9a3e0e17db02023-11-20T19:47:25ZengMDPI AGNanomaterials2079-49912020-11-011011220210.3390/nano10112202Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc ReactorSahr Sana0Vladimir Zivkovic1Kamelia Boodhoo2School of Engineering, Merz Court, Newcastle University, Newcastle Upon Tyne NE1 7RU, UKSchool of Engineering, Merz Court, Newcastle University, Newcastle Upon Tyne NE1 7RU, UKSchool of Engineering, Merz Court, Newcastle University, Newcastle Upon Tyne NE1 7RU, UKEmpirical 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.https://www.mdpi.com/2079-4991/10/11/2202spinning disc reactornanoparticlessolvent–antisolvent precipitationempirical modelReynolds numberrotational Reynolds number
spellingShingle Sahr Sana
Vladimir Zivkovic
Kamelia Boodhoo
Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor
Nanomaterials
spinning disc reactor
nanoparticles
solvent–antisolvent precipitation
empirical model
Reynolds number
rotational Reynolds number
title Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor
title_full Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor
title_fullStr Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor
title_full_unstemmed Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor
title_short Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor
title_sort empirical modelling of hydrodynamic effects on starch nanoparticles precipitation in a spinning disc reactor
topic spinning disc reactor
nanoparticles
solvent–antisolvent precipitation
empirical model
Reynolds number
rotational Reynolds number
url https://www.mdpi.com/2079-4991/10/11/2202
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AT vladimirzivkovic empiricalmodellingofhydrodynamiceffectsonstarchnanoparticlesprecipitationinaspinningdiscreactor
AT kameliaboodhoo empiricalmodellingofhydrodynamiceffectsonstarchnanoparticlesprecipitationinaspinningdiscreactor