Title of article
Thermodynamic Modeling of the Gas-Antisolvent (GAS) Process for Precipitation of Finasteride
Author/Authors
Najafi, Mohammad Department of Chemical Engineering - Islamic Azad University Marvdasht Branch, Marvdasht, Iran , Esfandiari, Nadia Department of Chemical Engineering - Islamic Azad University Marvdasht Branch, Marvdasht, Iran , Honarvar, Bizhan Department of Chemical Engineering - Islamic Azad University Marvdasht Branch, Marvdasht, Iran , Arab Aboosadi, Zahra Department of Chemical Engineering - Islamic Azad University Marvdasht Branch, Marvdasht, Iran
Pages
13
From page
297
To page
309
Abstract
Experimental study of the effect of gas antisolvent (GAS) system conditions on the
particle size distribution of finasteride (FNS) requires a thermodynamic model for
the volume expansion process. In this study, the phase behavior of the binary
system including carbon dioxide and Dimethyl sulfoxide, and a ternary system
comprising carbon dioxide, dimethyl sulfoxide, and Finasteride was studied. The
Peng-Robinson equation of state was employed for the evaluation of the fluid
phases and a fugacity expression to represent the solid phase. By developing an
accurate predictive model, the GAS operating conditions can be optimized to
produce particles with no need for a large number of experiments. First, the critical
properties of the FNS were evaluated by the group contribution methods. The
method of Marrero and Gani was also selected to predict the normal boiling point,
critical temperature, and critical pressure. The correlation of Edmister was chosen
for the prediction of the acentric factor. The lowest pressures for the ternary system
at 308, 318, 328, and 338 K were 7.49, 8.13, 8.51, and 9.03 MPa, respectively. The
precipitation of the dissolved finasteride happened at these operating pressures.
Keywords
Finasteride , Genetic Algorithm , Group Contribution , Supercritical Fluid , Thermodynamic Modeling
Journal title
Journal of Chemical and Petroleum Engineering
Serial Year
2020
Record number
2561523
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