Prediction of (liquid + liquid) equilibrium for binary and ternary systems containing ionic liquids with the bis[(trifluoromethyl)sulfonyl]imide anion using the ASOG method

Pedro A. Robles, Luis A. Cisternas

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Ionic liquids are neoteric, environmentally friendly solvents (as they do not produce emissions) composed of large organic cations and relatively small inorganic anions. They have favorable physical properties, such as negligible volatility and a wide range of liquid existence. (Liquid + liquid) equilibrium (LLE) data for systems including ionic liquids, although essential for the design, optimization and operation of separation processes, remain scarce. However, some recent studies have presented ternary LLE data involving several ionic liquids and organic compounds such as alkanes, alkenes, alkanols, ethers and aromatics, as well as water. In this work, the ASOG model for the activity coefficient is used to predict LLE data for 25 binary and 07 ternary systems at 101.3 kPa and several temperatures; all the systems are formed by ionic liquids including the bis[(trifluoromethyl)sulfonyl]imide (NTf2) anion plus alkanes, alkenes, cycloalkanes, alkanols, water, thiophene and aromatics. New group interaction parameters were determined using a modified Simplex method, minimizing a composition-based objective function of experimental data obtained from the literature. The results are satisfactory, with rms deviations of approximately 3%.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalJournal of Chemical Thermodynamics
Volume90
DOIs
StatePublished - 23 Jun 2015
Externally publishedYes

Keywords

  • (Liquid + liquid) equilibrium
  • ASOG
  • Activity coefficient
  • Ionic liquids
  • Prediction

Fingerprint

Dive into the research topics of 'Prediction of (liquid + liquid) equilibrium for binary and ternary systems containing ionic liquids with the bis[(trifluoromethyl)sulfonyl]imide anion using the ASOG method'. Together they form a unique fingerprint.

Cite this