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research article

High-throughput computational solvent screening for lignocellulosic biomass processing

Koenig-Mattern, Laura
•
Komarova, Anastasia O.  
•
Ghosh, Arpa  
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January 15, 2023
Chemical Engineering Journal

Lignocellulose is one of the most promising renewable bioresources for the production of chemicals. For sustainable and competitive biorefineries, effective valorization of all biomass fractions is crucial. However, current efforts in lignocellulose fractionation are limited by the use of either toxic or suboptimal solvents that do not always allow producing clean and homogeneous streams. Here, we present a computational screening approach that covers more than 8000 solvent candidates for the processing of lignocellulosic biomass. The automated screening identified highly effective, non-intuitive solvents based on physico-chemical properties, solubilities of the biomass fractions, and environmental, health and safety properties. Solubility experiments for the lignin and cellulose fraction confirmed the applicability of the proposed framework in biomass processing. In addition to the traditional "lignin-first'' approaches, we identified solvents applicable for the complete dissolution of biomass. Furthermore, we elucidated particular structural patterns in solvents featuring high lignin solubility. The most promising solvents attained lignin solubilities of more than 33 wt%.

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Type
research article
DOI
10.1016/j.cej.2022.139476
Web of Science ID

WOS:000868493800005

Author(s)
Koenig-Mattern, Laura
Komarova, Anastasia O.  
Ghosh, Arpa  
Linke, Steffen
Rihko-Struckmann, Liisa K.
Luterbacher, Jeremy  
Sundmacher, Kai
Date Issued

2023-01-15

Published in
Chemical Engineering Journal
Volume

452

Article Number

139476

Subjects

Engineering, Environmental

•

Engineering, Chemical

•

Engineering

•

lignocellulose

•

biomass fractionation

•

green solvents

•

computer-aided solvent selection

•

cosmo-rs

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deep eutectic solvents

•

ionic liquids

•

cosmo-rs

•

cellulose solubilities

•

molecular-weight

•

lignin

•

fractionation

•

prediction

•

conversion

•

dissolution

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LPDC  
Available on Infoscience
January 16, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/193822
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