Published December 2018 | Version v1
Journal article

Liquid-liquid equilibria for the ternary system of water + furfural + solvents at 303.15 and 323.15 K under atmospheric pressure

  • 1. State Key Lab of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, Shandong, 266580 (China)

Description

Highlights: • The liquid-liquid equilibrium data for furfural + water + o-xylene, m-xylene and also ethylbenzene were measured. • The distribution coefficient of furfural and separating factors for solvent extraction efficiency were calculated. • The NRTL model (two regression methods) and UNIQUAC model were used to correlate the experimental data with good results. • Both model equations satisfactorily correlated experimental LLE data with an RMSD less 0.005. • The reliability of the experimental tie-line data were ascertained by the Othmer-Tobias equation and the Bachman equation. Liquid-liquid equilibria data are investigated for the furfural-water system with o-xylene, m-xylene and also ethylbenzene as extractants at 303.15 and 323.15 K. The distribution coefficient and separation factors were calculated according to the LLE data. All the separation factors were much larger than one, implying the feasibility of these three solvents to extract the furfural from aqueous solution. To facilitate the manipulation of the obtained data for industrial applications, the NRTL and the UNIQUAC models have been applied to correlate the experimental data and all the root mean square deviation (RMSD) values of the two models were less 0.20. All the data demonstrated that o-xylene, m-xylene as well as ethylbenzene were ideal extractants for separating furfural from aqueous solution.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jct.2018.01.027

Additional details

Identifiers

DOI
10.1016/j.jct.2018.01.027;
PII
S002196141830034X;

Publishing Information

Journal Title
Journal of Chemical Thermodynamics
Journal Volume
127
Journal Page Range
p. 134-144
ISSN
0021-9614
CODEN
JCTDAF

INIS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd.