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A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production
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A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production
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Journal Article
A numerical approach to determine the optimal condition of the gas anti-solvent supercritical process for nanoparticles production
2022
Overview
Supercritical gas antisolvent (GAS) process is an efficient method for nanoparticles production, in which accurate selection of operational condition is essential. Thermodynamic models can be applied for evaluation the phase equilibrium behavior and determination the required precipitation pressure of GAS process. In this research, thermodynamic behavior of (CO
2
—dimethyl sulfoxide (DMSO)) binary system and both of (CO
2
–DMSO-anthraquinone Violet 3RN (AV3RN)) and (CO
2
–DMSO-solvent Yellow 33 (SY33)) ternary systems in the GAS process were studied at different temperatures (308, 318, 328 and 338) K and pressures (1.0–14.0) MPa, using Peng–Robinson equation of state (PR-EoS). The minimum precipitation pressure of AV3RN and SY33 at 308, 318, 328 and 338 K were 7.80, 8.57, 9.78 and 11 MPa and 8, 8.63, 9.5 and 10.77 MPa, respectively. Also, the mole fraction of substances in liquid phase of ternary systems were determined by PR-EoS, at 328 K versus pressure. The accuracy of the obtained results were investigated using the experimental data reported in the literatures.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
