Correlation and estimation of solubilities of fatty acids in supercritical carbon dioxide using solution model approach |
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| Affiliation: | 1. Department of Industrial Engineering DII, University of Padova, Via Marzolo 9, 35131 Padua, Italy;2. Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Via Marzolo 5, 35131 Padua, Italy;1. Chemical and Food Engineering Department, Federal University of Santa Catarina, EQA/UFSC, C.P. 476, CEP 88040-900 Florianópolis, SC, Brazil;2. Food Science and Technology Department, Federal University of Santa Catarina, CAL/UFSC, CEP 88034-001 Florianópolis, SC, Brazil;3. Microbiology and Parasitology Department, Federal University of Santa Catarina, CCB/UFSC, CEP 88040-900 Florianópolis, SC, Brazil;1. Department of Chemistry, University of the Balearic Islands, Ctra Valldemossa km 7.5, 07122 Palma de Mallorca, Spain;2. ASPA Group, Food Technology Department, Polytechnic University of Valencia, Cno Vera s/n, 46021 Valencia, Spain;1. Research Center of Supercritical Fluid Technology, Tohoku University, Aramaki Aza Aoba 6-6-11, Aoba-ku, Sendai 980-8579, Japan;2. Graduate School of Environmental Studies, Tohoku University, Aramaki Aza Aoba 6-6-11, Aoba-ku, Sendai, 980-8579, Japan |
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| Abstract: | 
In this study, solid solubility data of five fatty acids in supercritical carbon dioxide (CO2) at different temperatures and pressures are correlated using a two-parameter solution model developed from the regular solution model coupled with the Flory⿿Huggins equation. The developed solution model with fewer parameters yields correlated results comparable to those from commonly used semi-empirical equations. In addition, both parameters in the solution model can be further generalized with the chain length of fatty acids and a new predictive solution model is proposed for solubility prediction. The predictive solution model proposed in this study provides better predicted results and yields average deviation in predicted solubilities of 22.1%. To further apply this solution model to other compounds, solid solubility data of three triglycerides in supercritical CO2 at 313 K are also correlated. After model simplification and generalization, a new predictive solution model for triglycerides is also proposed, which yields average deviation in predicted solubilities of 29.8%. These results demonstrate that the solution model used in this study is applicable for correlation and prediction of solid solubilities of structure-related compounds in supercritical CO2. |
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| Keywords: | Solubility Fatty acids Triglycerides Supercritical Carbon dioxide Solution model |
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