Gurikov, PavelPavelGurikovLebedev, IgorIgorLebedevKolnoochenko, AndreyAndreyKolnoochenkoMenshutina, NataliaNataliaMenshutina2020-06-162020-06-162016-06Computer Aided Chemical Engineering (38): 1587-1592 (2016)http://hdl.handle.net/11420/6333Numerous studies are devoted to the experimental investigation of equilibria in supercritical fluids (SCFs), in particular to the problem of solubility. However, prediction of the solubility entirely based on molecular structure still remains challenging. The aim of this contribution is two-fold. First, we present a compendium of solubility data for high-boiling point compounds in supercritical carbon dioxide and its mixtures with modifiers. Literature data from late 70s till present were collected from more than 300 original publications (ca. 600 compounds, more than 20,000 experimental points). The data are organized in a database that offers diverse functionality. Second, we exemplify the usage of the database by prediction of the solubility employing two models, semi-empirical Chrastil model and more physically sound regular solution model. Both models ultimately require empirical parameters which were related to the molecular structure of the solute (quantitative structure – property relationship, QSPR). Presented hybrid thermodynamic/QSPR approach allows to exceed the limits of the experimental data and to predict the solubility at given pressure and temperature based entirely on molecular structure.enchrastil equationdatabaseregular solutionsolubilitysupercritical fluidChemieConference Paper10.1016/B978-0-444-63428-3.50269-1Other