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University of Texas Rio Grande Valley
International Business and Entrepreneurship Faculty Publications and Presentations
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Full-Text Articles in Medicine and Health Sciences
Developing An Accurate Empirical Correlation For Predicting Anti-Cancer Drugs’ Dissolution In Supercritical Carbon Dioxide, Fardad Faress, Amin Yari, Fereshteh Rajabi Kouchi, Ava Safari Nezhad, Alireza Hadizadeh, Leili Sharif Bakhtiar, Yousef Naserzadeh, Niloufar Mahmoudi
Developing An Accurate Empirical Correlation For Predicting Anti-Cancer Drugs’ Dissolution In Supercritical Carbon Dioxide, Fardad Faress, Amin Yari, Fereshteh Rajabi Kouchi, Ava Safari Nezhad, Alireza Hadizadeh, Leili Sharif Bakhtiar, Yousef Naserzadeh, Niloufar Mahmoudi
International Business and Entrepreneurship Faculty Publications and Presentations
This study introduces a universal correlation based on the modified version of the Arrhenius equation to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide (CO2). A combination of an Arrhenius-shape term and a departure function was proposed to estimate the solubility of anti-cancer drugs in supercritical CO2. This modified Arrhenius correlation predicts the solubility of anti-cancer drugs in supercritical CO2 from pressure, temperature, and carbon dioxide density. The pre-exponential of the Arrhenius linearly relates to the temperature and carbon dioxide density, and its exponential term is an inverse function of pressure. Moreover, the departure function linearly correlates with …