Liquid-liquid equilibrium data for water + acetic acid + solvent (Dichloromethane + methyl isobutyl ketone) at T = 301.15 K

M. Timedjeghdine, A. Hasseine*, H. Binous, O. Bacha, M. Attarakih

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Liquid-liquid equilibrium (LLE) data for water + acetic acid + solvent (dichloromethane + methyl isobutyl ketone) ternary systems are measured experimentally at T = 301.15 K and p = 1 atm. Different proportions of pure solvents dichloromethane (DCM) and methyl isobutyl ketone (MIBK) are investigated. The cloud-point titration technique is employed in order to determine the equilibrium solubility data. The chemical species’ concentrations, in both the light and heavy phases, were estimated using refractive index measurements. For activity coefficients prediction, the non-random two liquids (NRTL) model was used to correlate the measured tie-line data. Two evolutionary optimization methods (i.e., the genetic algorithm and the particle swarm optimization) are used in order to estimate the binary interaction parameters for the NRTL model. In addition to this, both the Othmer-Tobias and the Hand correlations are used to verify the thermodynamic consistency and reliability of the experimental tie-line measured data. Finally, the distribution coefficients and the separation factors are calculated in order to determine the suitability of the mixed solvents for the acetic acid extraction from water. The present results indicate that the mixed solvent (50% DCM + 50% MIBK) is the most suitable solvent for the separation the acetic acid from water.

Original languageEnglish
Pages (from-to)125-132
Number of pages8
JournalDesalination and Water Treatment
Volume67
DOIs
StatePublished - Mar 2017

Bibliographical note

Publisher Copyright:
© 2017 Desalination Publications. All rights reserved.

Keywords

  • Acetic acid extraction
  • Distribution coefficient and separation factor
  • Genetic algorithm
  • Liquid-liquid equilibrium
  • Particle swarm optimization

ASJC Scopus subject areas

  • Water Science and Technology
  • Ocean Engineering
  • Pollution

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