Deep eutectic solvents in lignocellulosic biorefineries: a comprehensive review of mechanistic insights, molecular modeling, and artificial intelligence

Green Chemistry 2026 Open access

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Authors: Kaixuan Huang, Mood Mohan, Kaiyue Su, Chang Gao, Yufeng Chen, Xiaoran Xu, Yanping Cai, Jianming Guo, Yong Xu, XIN ZHOU, Jeremy C Smith
DOI: 10.1039/d6gc00426a
Cited by: 5
References: 381

Abstract

This review summarizes mechanistic insights, molecular simulations, and AI-driven approaches for deep eutectic solvent design, providing a roadmap for efficient biomass fractionation and next-generation lignocellulosic biorefineries.

Fields of Study & Subjects

Ionic liquids properties and applications Catalysis for Biomass Conversion Carbon dioxide utilization in catalysis

Publication details

Journal / source
Green Chemistry
Publisher
Royal Society of Chemistry (RSC)
Volume
28
Issue
30
Pages
12505–12548
Publication date
1 January 2026
Language
EN