Can we safely predict solvation Gibbs energies of pure and mixed solutes with a cubic equation of state?

Abstract: Solvation Gibbs energies are basically defined as a chemical potential change when transferring a fixed molecule from a perfect gas to a real liquid mixture. This quantity is of special interest for many practical applications as it quantifies the degree of affinity of a solute for its solvent. Few methods are currently available in the literature for the prediction of solvation Gibbs energies. In this article, a new approach is proposed: the use of a predictive cubic equation of state (EoS). The UMR-PRU (Universal Mixing Rule Peng-Robinson UNIFAC) EoS has been selected for its known capacity to semi-predict behaviors of complex systems including polar and associating compounds (by semi-prediction, it is meant that the EoS predicts binary interaction parameters but requires pure-component properties as input parameters). UMR-PRU predictions have been compared to experimental data extracted from the extensive CompSol database (containing around 22 000 pure component data and 70 000 binary data). Accurate predictions were obtained (a mean absolute deviation of 0.36 kcal/mol was obtained for all the binary data). Finally, when using a fully-predictive approach (i.e. pure-component EoS parameters are predicted from group-contribution methods), the prediction accuracy is roughly preserved.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Can we safely predict solvation Gibbs energies of pure and mixed solutes with a cubic equation of state? ; volume:91 ; number:8 ; year:2019 ; pages:1295-1307 ; extent:13 ; Pure and applied chemistry ; 91, Heft 8 (2019), 1295-1307 (gesamt 13)

Contributors, Places and Time

• Creator: Moine, Edouard ; Privat, Romain ; Jaubert, Jean-Noël ; Sirjean, Baptiste ; Novak, Nefeli ; Voutsas, Epaminondas ; Boukouvalas, Christos

Further information

• DOI: 10.1515/pac-2018-1112
• URN: urn:nbn:de:101:1-2024030513044037426018
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:59 AM CEST