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Development of a thermodynamic model of aqueous solution suited for foods and biological media. Part A: Prediction of activity coefficients in aqueous mixtures containing electrolytes

Authors :
André Lebert
Fabrice Audonnet
Claude-Gilles Dussap
Oumar Toure
Institut Pascal (IP)
Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS)
SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])
SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)
Source :
Canadian Journal of Chemical Engineering, Canadian Journal of Chemical Engineering, Wiley, 2015, 93 (2), pp.443-450. ⟨10.1002/cjce.22075⟩, Canadian Journal of Chemical Engineering, 2015, 93 (2), pp.443-450. ⟨10.1002/cjce.22075⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

In food and biological processes, aqueous complexes cover a wide diversity of species and the presence of several phases. The modelling of such processes must take into account these specificities, which require a generalization of the existing thermodynamic models of aqueous solutions. The chemical potential (the molar Gibbs free energy) of a given compound is an important variable to characterize the physical-chemical properties at equilibrium. Its value depends on two parameters: the Gibbs free energy of formation and the activity coefficient. Both are linked to a chosen reference state. Then, the main thermodynamic modelling task consists in the prediction and/or the collection of formation properties data and in the development of a predictive model of activity coefficients. This work introduces a new prediction tool of activity coefficients of electrolytes in {water-salt} systems. This tool is based on an extension of the COSMO-RS method towards the representation of the thermodynamic equilibrium properties of charged species. For this purpose, the long-range interactions between ions are taken in account by a Pitzer-Debye-Huckel term. The resulting model called “COSMO-RS-PDHS” is then fully predictive.

Details

Language :
English
ISSN :
00084034 and 1939019X
Database :
OpenAIRE
Journal :
Canadian Journal of Chemical Engineering, Canadian Journal of Chemical Engineering, Wiley, 2015, 93 (2), pp.443-450. ⟨10.1002/cjce.22075⟩, Canadian Journal of Chemical Engineering, 2015, 93 (2), pp.443-450. ⟨10.1002/cjce.22075⟩
Accession number :
edsair.doi.dedup.....c5e812e01f448aa61aa9d49d5f67a093