110th Anniversary: From Solubility Parameters to Predictive Equation-of-State Modeling

dc.contributor.authorPanayiotou, Costas
dc.contributor.authorZuburtikudis, Ioannis
dc.contributor.authorHatzimanikatis, Vassily
dc.date.accessioned2022-02-11T10:33:51Z
dc.date.accessioned2023-08-19T08:07:58Z
dc.date.available2022-02-11T10:33:51Z
dc.date.available2023-08-19T08:07:58Z
dc.date.issued2019-06
dc.description.abstractA simple predictive molecular thermodynamic model for bulk phases and interfaces is presented. The model combines features of the quantitative structure–property relationships (QSPR) approach, the equation-of-state approach, and quantum-chemical calculations. Simple formalisms on a sound thermodynamic basis have been developed for the main thermodynamic quantities of pure components and mixtures while the required parameters for the calculations are rather easily obtained from common databases in the public domain. The widely available solubility parameters or the linear solvation energy relationships (LSER) molecular descriptors are exploited for the extraction of the required information. The predictive capacity of the model with a variety of properties and types of systems including highly nonideal hydrogen-bonded mixtures is reviewed. Emphasis is given in this work on predictions of solvation free energies and the results are rather satisfactory. The strength and weakness of the model and its perspectives are also critically discussed.en_US
dc.identifier.citationPanayiotou, C., Zuburtikudis, I., & Hatzimanikatis, V. (2019). 110th Anniversary: From Solubility Parameters to Predictive Equation-of-State Modeling. Industrial & Engineering Chemistry Research, 58(28), 12787-12800.en_US
dc.identifier.doihttps://doi.org/10.1021/acs.iecr.9b02908
dc.identifier.urihttps://edms.wexl.in/handle/1/2615
dc.language.isoenen_US
dc.publisherAmerican Chemical Societyen_US
dc.subjectQuantum computersen_US
dc.subjectQuantitative Structureen_US
dc.subjectState Modelingen_US
dc.title110th Anniversary: From Solubility Parameters to Predictive Equation-of-State Modelingen_US
dc.title.alternativeIndustrial & Engineering Chemistry Researchen_US
dc.typeArticleen_US

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