A novel approach to predict drugs solubility in supercritical solvents for RESS process using various cubic EoS-mixing rule

作者：Bagheri Hamidreza; Mansoori G Ali; Hashemipour Hassan^*

来源：Journal of Molecular Liquids, 2018, 261: 174-188.

DOI：10.1016/j.molliq.2018.03.081

• RESS
• Solubility
• Supercritical fluid
• Mixing rule
• Drug

Rapid Expansion of Supercritical Solutions (RESS) is an advantageous process to achieve micronization of poorly water-soluble drug. One of the crucial parameters in RESS is drug solubility in supercritical solvent as it affects the supersaturation and particle size distribution. In this study, five cubic equation of state (EoS) with two mixing rules are used to predict the solubility of Ibuprofen, Aspirin, Salicylic acid and Griseofulvin in supercritical carbon dioxide and trifluoromethane as solvent. The equations of state are van der Waals (vdW), Redlich-Kwong (RK), Riazi-Mansoori (RM), Mohsen-Nia-Moddaress-Mansoori (MMM) and Peng-Robinson (PR) with vdW type I and Kwak-Mansoori (KM) mixing rules. The results are presented for mixing rules with and without interaction parameters. Based on the calculated solubilities, two of the most accurate equations of state are PR-KM and PR-vdW with less average absolute percent deviation (AAPD) than the other EoS for all systems. Consequently, particle size of the drug is determined by all EoSs and compared with experimental data.

• 出版日期2018-7-1