Solvent Selection for the Separation of Lignin-Derived Monomers Using the Conductor-like Screening Model for Real Solvents

Shen, Zhizhang; Van Lehn, Reid C.

doi:10.1021/acs.iecr.9b06086

Solvent Selection for the Separation of Lignin-Derived Monomers Using the Conductor-like Screening Model for Real Solvents

Journal Article · Mon Mar 23 00:00:00 EDT 2020 · Industrial and Engineering Chemistry Research

DOI:https://doi.org/10.1021/acs.iecr.9b06086· OSTI ID:1637659

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Univ. of Wisconsin, Madison, WI (United States); University of Wisconsin-Madison Department of Chemical and Biological Engineering
Univ. of Wisconsin, Madison, WI (United States)

The separation of desired monomers from a liquid-phase mixture of lignin depolymerization products is necessary to facilitate their upscaling and upgrading for industrial applications. One effective method to separate multiple liquid-phase products is countercurrent chromatography (CCC), which is a common liquid chromatography technique that separates target solutes based on differences in their partitioning in a biphasic solvent system. Effective CCC separation requires the selection of solvent compositions to tune solute partition coefficients. Here, to alleviate the experimental burden of selecting optimal solvent systems, we apply the conductor-like screening model for real solvents (COSMO-RS) method to compute partition coefficients of representative lignin monomers from four currently used depolymerization strategies in standard solvent systems. We further design new ternary and quaternary solvent systems that are predicted to further improve separation efficacy. On the basis of these predicted partition coefficients and empirical solvent selection criteria for CCC measurements, we suggest a range of solvent systems that would be suitable for the effective separation of aromatic lignin-derived products via CCC or similar liquid–liquid extraction methods.

View Accepted Manuscript (DOE)

Research Organization:: Great Lakes Bioenergy Research Center, Madison, WI (United States)

Sponsoring Organization:: National Science Foundation; USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: FC02-07ER64494; SC0018409

OSTI ID:: 1637659

Journal Information:: Industrial and Engineering Chemistry Research, Journal Name: Industrial and Engineering Chemistry Research Journal Issue: 16 Vol. 59; ISSN 0888-5885

Publisher:: American Chemical Society (ACS)Copyright Statement

Country of Publication:: United States

Language:: English

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