Developing an accurate empirical correlation for predicting anti-cancer drugs’ dissolution in supercritical carbon dioxide

• DOI: 10.1038/s41598-022-13233-x
• Publication Date: 2022-06-07T15:10:30Z
• Authors: Fardad Faress; Amin Yari; Fereshteh Rajabi ...; Ava Safari Nezhad; Alireza Hadizadeh; Leili Sharif Bakh...; Yousef Naserzadeh; Niloufar Mahmoudi
• Keywords: Supercritical Carbon Dioxide

Abstract This study introduces a universal correlation based on the modified version of Arrhenius equation to estimate solubility anti-cancer drugs in supercritical carbon dioxide (CO 2 ). A combination an Arrhenius-shape term and departure function was proposed CO . predicts from pressure, temperature, density. The pre-exponential linearly relates temperature density, its exponential is inverse pressure. Moreover, correlates with natural logarithm ratio density temperature. reliability validated using all literature data for Furthermore, predictive performance compared ten available empirical correlations literature. Our developed presents absolute average relative deviation (AARD) 9.54% predicting 316 experimental measurements. On other hand, most accurate AARD = 14.90% over same database. Indeed, 56.2% accuracy improvement prediction primary outcome current study.