Mathematical modelling of supercritical fluid extraction of liquid lanoline from raw wool. Solubility and mass transfer rate parameters

2020 ◽  
Vol 164 ◽  
pp. 352-360
Author(s):  
Abel Valverde ◽  
Jesus Alvarez-Florez ◽  
Francesc Recasens
Keyword(s):  
Mass Transfer ◽  
Mathematical Modelling ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Transfer Rate ◽  
Mass Transfer Rate ◽  
Fluid Extraction

Mass Transfer Rate and Simulation of Supercritical Fluid Extraction of Bioproducts

1992 ◽  
pp. 525-528
Author(s):  
Eiji Negishi ◽  
Tadafumi Adschiri ◽  
Kunio Arai ◽  
Osamu Katou ◽  
Noboru Ishikawa ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Transfer Rate ◽  
Mass Transfer Rate ◽  
Fluid Extraction

scholarly journals Mathematical modeling of mass transfer in supercritical fluid extraction of patchouli oil

2019 ◽  
Vol 1 (4) ◽  
Author(s):  
Soon Hong Soh ◽  
Shuchi Agarwal ◽  
Akshay Jain ◽  
Lai Yeng Lee ◽  
Siew Kian Chin ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Mass Transfer ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Fluid Extraction

Fluid phase equilibria and mass transfer studies applied to supercritical fluid extraction of Illicium verum volatile oil

2016 ◽  
Vol 417 ◽  
pp. 203-211 ◽  
Author(s):  
Rodrigo Scopel ◽  
Caroline Finkler da Silva ◽  
Aline Machado Lucas ◽  
José Jacques Garcez ◽  
Alexandre T. do Espirito Santo ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Phase Equilibria ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Fluid Phase ◽  
Volatile Oil ◽  
Fluid Extraction ◽  
Mass Transfer Studies ◽  
Illicium Verum ◽  
Fluid Phase Equilibria

scholarly journals Supercritical Fluid Extraction Kinetics of Cherry Seed Oil: Kinetics Modeling and ANN Optimization

Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1513
Author(s):  
Ivana Dimić ◽  
Lato Pezo ◽  
Dušan Rakić ◽  
Nemanja Teslić ◽  
Zoran Zeković ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Flow Rate ◽  
Seed Oil ◽  
Statistical Tests ◽  
Initial Slope ◽  
Extraction Kinetics ◽  
Fluid Extraction ◽  
Kinetics Modeling

This study was primarily focused on the supercritical fluid extraction (SFE) of cherry seed oil and the optimization of the process using sequential extraction kinetics modeling and artificial neural networks (ANN). The SFE study was organized according to Box-Behnken design of experiment, with additional runs. Pressure, temperature and flow rate were chosen as independent variables. Five well known empirical kinetic models and three mass-transfer kinetics models based on the Sovová’s solution of SFE equations were successfully applied for kinetics modeling. The developed mass-transfer models exhibited better fit of experimental data, according to the calculated statistical tests (R2, SSE and AARD). The initial slope of the SFE curve was evaluated as an output variable in the ANN optimization. The obtained results suggested that it is advisable to lead SFE process at an increased pressure and CO2 flow rate with lower temperature and particle size values to reach a maximal initial slope.

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