Published January 2017 | Version v1
Journal article

Experimental determination of the LLE data of systems consisting of {hexane + benzene + deep eutectic solvent} and prediction using the Conductor-like Screening Model for Real Solvents

  • 1. Eindhoven University of Technology, Department of Chemical Engineering and Chemistry, Separation Technology Group, STO1.22, P.O. Box 513, 5600 MB Eindhoven (Netherlands)
  • 2. Hamburg University of Technology, Institute of Thermal Separation Processes, Eissendorfer Strasse 38, 21073 Hamburg (Germany)
  • 3. The Petroleum Institute, Chemical Engineering Department, P.O. Box 2533, Abu Dhabi (United Arab Emirates)

Description

Highlights: • The LLE data of the systems {hexane + benzene + DES} have been measured. • The effect of the cation alkyl chain length, and the hydrogen bond donor nature on the extraction efficiency were studied. • The solute distribution coefficient and selectivity have been calculated and compared. • COSMO-RS was used for the prediction of the LLE data. - Abstract: Recently, deep eutectic solvents (DESs) have proven to be excellent extracting agents in the separation of aromatic components from their mixtures with aliphatic compounds. The tunable properties of the DESs allow to tailor-make optimal solvents for this application. In this work type III DESs, based on chloride quaternary ammonium salts (tetramethylammonium chloride, tetraethylammonium chloride, tetrabutylammonium and tetrahexylammonium chloride) as hydrogen bond acceptor molecules and polyols (ethylene glycol and glycerol) as hydrogen bond donor molecules were used. The liquid-liquid equilibrium (LLE) data of the system {hexane + benzene + DES} was measured at room temperature and atmospheric pressure. The solute distribution ratio and the selectivities were calculated and compared. The highest solute distribution ratios were obtained for salts with long alkyl chain length as hydrogen bond acceptor molecules and for ethylene glycol as hydrogen bond donor molecules. COSMO-RS was used for the prediction of the LLE data of the studied systems. It was found that both the LLE data and the solute distribution ratio of the ternary systems containing DESs can be qualitatively well predicted using this model. Moreover, the LLE data was quantitatively predicted within a root mean square error of 10 wt% without the need of any experimental data. This implies that COSMO-RS is an effective screening tool for the optimization of the separation process of aromatic components from {aliphatic + aromatic} mixtures using DESs as extracting agents.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jct.2016.09.021

Additional details

Identifiers

DOI
10.1016/j.jct.2016.09.021;
PII
S0021-9614(16)30280-4;

Publishing Information

Journal Title
Journal of Chemical Thermodynamics
Journal Volume
104
Journal Page Range
p. 128-137
ISSN
0021-9614
CODEN
JCTDAF

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.