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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MDPI AG
2020-11-01
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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 |
work_keys_str_mv | AT sahrsana empiricalmodellingofhydrodynamiceffectsonstarchnanoparticlesprecipitationinaspinningdiscreactor AT vladimirzivkovic empiricalmodellingofhydrodynamiceffectsonstarchnanoparticlesprecipitationinaspinningdiscreactor AT kameliaboodhoo empiricalmodellingofhydrodynamiceffectsonstarchnanoparticlesprecipitationinaspinningdiscreactor |