Experimental determination and association model for the solubilities of methyl 10-undecenoate with methyl ricinoleate in supercritical carbon dioxide

Rathnam, V. Mani; Madras, Giridhar

doi:10.1016/j.supflu.2018.05.015

Cited by 1 publication

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“…Although the solubility data of the ScCO 2 system can be successfully determined by experiments, many correlations and mathematical models are developed and used to predict the data . A lot of literature reported that the models could well correlate experimental data and predict the solubility of compounds in ScCO 2 . − …”

Section: Introductionmentioning

confidence: 99%

Measurement and Correlation of Paeonol Solubility in Supercritical Carbon Dioxide

et al. 2019

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Paeonol shows a wide range of pharmacological activities in the pharmaceutical industry. In this study, the solubility of paeonol in supercritical carbon dioxide (ScCO2) is determined by measuring the cloud-point pressures of the binary system in a high-pressure variable-volume view cell at various temperatures (i.e., 313.2, 318.2, 323.2, 328.2, 333.2 K) and pressure range of 8–15 MPa. The results show that paeonol has good solubility in ScCO2, and the solubility increases obviously with decreasing temperature and increasing pressure in the experimental range. Then, four density-based models, namely, Bartle, Méndez-Santiago and Teja, Ch and Madras, and Gordillo, are employed to correlate and predict the solubility data. The relevant average absolute relative deviation values of Bartle, Méndez-Santiago and Teja, Ch and Madras, and Gordillo are 9.05, 9.37, 8.75, and 8.49%, respectively, indicating that the models can well predict the solubility data.

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