期刊
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
卷 93, 期 2, 页码 443-450出版社
WILEY
DOI: 10.1002/cjce.22075
关键词
activity coefficients; aqueous electrolytes; predictive model; COSMO-RS-PDHS
资金
- Na- integrated program [ANR-09-ALIA-013-01]
- ALGO-H2 project - French National Research Agency [ANR-10-BIOE-0004]
- Agence Nationale de la Recherche (ANR) [ANR-10-BIOE-0004] Funding Source: Agence Nationale de la Recherche (ANR)
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.
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