Critical Role of Catalyst-Dependent Solvent Effect for the Conversion of Xylan to Furfural

The synergistic catalyst-solvent interaction is paramount in dictating the efficiency of xylan catalytic depolymerization. However, the intricate interactions between catalysts and solvent molecules present a significant challenge in the research. By innovatively integrating quantum chemical calculations, molecular dynamics simulations, and experimental validation, this work establishes a comprehensive analytical framework. This strategy thereby uncovers the synergistic interplay between solvent molecules and catalytically active species in xylan depolymerization at the molecular level. A furfural yield of 70.6% was achieved from xylan under optimal conditions in the γ-valerolactone (GVL)/H<sub>2</sub>O-Al<sub>2</sub>(SO<sub>4</sub>)<sub>3</sub> composite catalytic system, leveraging its powerful synergistic effect. Water molecules promote the formation of the catalytic active center and drive its reactive binding with the xylose intermediate. On the other hand, GVL not only stabilizes the catalytic active centers but also forms a protective solvent shell around the furfural product molecules. This work provides a blueprint for the precise and efficient construction of solvent systems in biorefining.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-12-19
DOI
https://doi.org/10.1021/acs.jafc.5c14240
Primary Topic
Catalysis for Biomass Conversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Critical Role of Catalyst-Dependent Solvent Effect for the Conversion of Xylan to Furfural

Yan Qing, Zhiping Wu, Yiqiang Wu, Tianhao Liu et al.
Journal of Agricultural and Food Chemistry
Catalysis for Biomass Conversion
article

Critical Role of Catalyst-Dependent Solvent Effect for the Conversion of Xylan to Furfural

Yan Qing, Zhiping Wu, Yiqiang Wu, Tianhao Liu, Chao Liu, Kui Wang, Lin Zhang, Xiaolei Zhang, Jianchun Jiang
article en

Abstract

The synergistic catalyst-solvent interaction is paramount in dictating the efficiency of xylan catalytic depolymerization. However, the intricate interactions between catalysts and solvent molecules present a significant challenge in the research. By innovatively integrating quantum chemical calculations, molecular dynamics simulations, and experimental validation, this work establishes a comprehensive analytical framework. This strategy thereby uncovers the synergistic interplay between solvent molecules and catalytically active species in xylan depolymerization at the molecular level. A furfural yield of 70.6% was achieved from xylan under optimal conditions in the γ-valerolactone (GVL)/H<sub>2</sub>O-Al<sub>2</sub>(SO<sub>4</sub>)<sub>3</sub> composite catalytic system, leveraging its powerful synergistic effect. Water molecules promote the formation of the catalytic active center and drive its reactive binding with the xylose intermediate. On the other hand, GVL not only stabilizes the catalytic active centers but also forms a protective solvent shell around the furfural product molecules. This work provides a blueprint for the precise and efficient construction of solvent systems in biorefining.

Journal of Agricultural and Food ChemistryVol. 74(1)
Central South University of Forestry and Technology (CN), Central South University (CN), University of Strathclyde (GB), Institute of Chemical Industry of Forest Products (CN), Chinese Academy of Forestry (CN)
Openalex Percentile: Top 59%
Catalysis for Biomass Conversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.