dc.creatorAntonie, Paul
dc.creatorCourtial, Camila Gambini Pereira
dc.date2021-05-04T13:01:05Z
dc.date2019-03
dc.identifierANTONIE, P.; COURTIAL, C.G. P.. Solubility of functional compounds in supercritical CO2: Data evaluation and modelling. Journal of Food Engineering, v. 245, p. 131-138, 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0260877418304394?via%3Dihub. Acesso em: 30 mar. 2021. https://doi.org/10.1016/j.jfoodeng.2018.10.012
dc.identifier0260-8774
dc.identifierhttps://repositorio.ufrn.br/handle/123456789/32357
dc.identifier10.1016/j.jfoodeng.2018.10.012
dc.descriptionThe solubility data of functional compounds in supercritical carbon dioxide were compiled and discussed. The investigation included essential oils, phenolic compounds, carotenoids, tocopherols, carboxylic acids, alkaloids and vitamins. The data were correlated with four mathematical models. The parameters of each model were adjusted for each compound using the experimental data from literature. From the evaluation of the compiled data, it was possible to observe that the essential oils are the most soluble compounds and the phenolic compounds are the least soluble compounds in supercritical CO2, in the range of temperatures and pressures that were evaluated. In relation to the models, it was observed that the prediction of the solubilities of the biocompounds in supercritical fluids was acceptable for all the models, with the Jiang et al. equation being the model that presented the best results to predict the solubility for all functional groups
dc.description2022-03
dc.formatapplication/pdf
dc.languageen
dc.publisherElsevier
dc.rightsAttribution 3.0 Brazil
dc.rightshttp://creativecommons.org/licenses/by/3.0/br/
dc.rightsLOCKSS system has permission to collect, preserve, and serve this Archival Unit
dc.subjectSolubility
dc.subjectFunctional compounds
dc.subjectSupercritical fluids
dc.subjectDensity-based models
dc.titleSolubility of functional compounds in supercritical CO2: Data evaluation and modelling
dc.typearticle


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