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Thermodynamic modelling of liquid-liquid extraction systems involving ionic liquids: A new approach

Suleman, H. and Maulud, A.S. and Shah, S.N. and Man, Z. and Mutalib, M.I.A. (2018) Thermodynamic modelling of liquid-liquid extraction systems involving ionic liquids: A new approach. Journal of Molecular Liquids, 252 . pp. 18-23.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

In this study, a new approach is introduced for the thermodynamic correlation of liquid-liquid extraction (LLE) systems involving ionic liquids (ILs). The model incorporates the effect of local composition and ion solvation in the liquid-liquid equilibrium. Margules excess Gibbs energy model was used to express the short-range molecule-molecule forces whereas the ion solvation theory of modified three characteristic parameter correlation (TCPC) model was employed to characterize the ion-molecule short range forces. With this proposed approach, better results were obtained for the correlation of experimental tie line data and activity coefficients for LLE systems involving ILs. Moreover, the new approach imparted theoretical improvements over previously used thermodynamic models for the correlation of said systems. A wide range of published experimental data for ternary liquid-liquid extraction systems was examined and the new interaction parameters were optimized. A very low root mean square deviation (RMSD) was observed for all the ternary systems, indicating the proficiency of the proposed model. © 2017 Elsevier B.V.

Item Type:Article
Impact Factor:cited By 1
Uncontrolled Keywords:Gibbs free energy; Ionic liquids; Ions; Liquids; Molecules; Phase equilibria; Solvation; Solvent extraction; Ternary systems; Thermodynamics, Equilibrium modelling; Interaction parameters; Liquid liquid equilibrium; Liquid-liquid extraction; Parameter correlation; Root mean square deviations; Thermodynamic correlation; Thermodynamic modelling, Extraction
Academic Subject One:Academic Department - Chemical Engineering - Separation Process
Departments / MOR / COE:Research Institutes > Institute for Contaminant Management
ID Code:21802
Deposited By: Ahmad Suhairi
Deposited On:01 Aug 2018 02:04
Last Modified:08 Feb 2019 12:29

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