In the current investigation, the solubility of fenoprofen as a nonsteroidal anti-inflammatory drug in supercritical CO2 (SC-CO2) is measured by employing a motorized PVT (pressure–volume–temperature) equilibrium cell. The solubility measurements were carried out in temperatures between 308 and 338 K and pressures between 12 and 40 MPa. The measured data reveals that the solubility of fenoprofen (mole fraction) lies between 2.01 × 10–5 and 4.20 × 10–3, depending on the thermodynamic conditions. Besides the experimental measurement of fenoprofen solubility, thermodynamic modeling of solubility using five different density-based semi-empirical correlations was carried out. The models were considered with only three fitting parameters, namely, Mendez-Santiago and Teja (MST), Bartle et al., Kumar and Johnston (K–J), Chrastil, and Garlapati and Madras models. The results revealed that among the examined models, the Bartle et al. model was the most accurate one with the lowest average absolute relative deviation percent (AARD %) of 6.58% for the studied drug, while the K–J model leads to poor prediction with an AARD % of 9.60%.

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The solubility of loxoprofen as a nonsteroidal anti-inflammatory drug (NSAID) is measured at various temperatures (308, 318, 328, and 338 K) and pressures (12,16,20,24,28,32,36, and 40 MPa) in supercritical carbon dioxide (SC-CO 2 ). The solubility data were measured using a gravimetric-based approach and revealed the solubility range of 1.35 × 10 −5 to 1.28 × 10 −3 based on the mole fraction of loxoprofen. The results revealed that solubility can be significantly enhanced from 1.04 × 10 −5 to 1.28 × 10 −3 (mole fraction basis) for the isotherm at 338 K because of the effect of temperature which can boost the pressure effect on solubility enhancement, at pressures greater than crossover (around 20 MPa for the case of loxoprofen). Moreover, the experimental data points were modeled using five different density-based correlations including Chrastil, Garlapati and Madras, Mendez-Santiago and Teja (MST), Bartle et al., and Kumar and Johnston (K−J) models because measuring the solubility of loxoprofen in entire required ranges of pressure and temperature is impossible or expensive similar to the other pharmaceuticals. The results of modeling revealed that one can correlate the loxoprofen solubility data with an accuracy of about 9.2% (Mendez-Santiago−Teja), 10.7% (Bartle et al.), 7.1% (Kumar and Johnstone), 12.7% (Chrastil), and 12.7% (Garlapati and Madras) based on average absolute relative deviation percent (AARD %).