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Review Article | Open Access

Polyoxometalate catalysts for the selective transformation of lignocellulosic biomass: Lignin depolymerization and furan derivative valorization

Peixuan ZhangPeng LeiJie LiWeijie GengYingnan Chi ( )Changwen Hu 
Key Laboratory of Cluster Science Ministry of Education, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
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Abstract

Efficient utilization of lignocellulosic biomass, which consists of lignin, cellulose, and hemicellulose and is a major renewable resource, is central to green and sustainable chemistry. Polyoxometalates (POMs) have emerged as versatile catalysts for biomass valorization owing to their tunable Brønsted acidity/basicity, redox properties, and unique electron/proton storage capability. This review highlights recent advances in POM-catalyzed lignocellulosic biomass conversion, focusing on lignin depolymerization and the selective conversion of hemicellulose- and cellulose-derived platform compounds, namely furfural (FF) and 5-hydroxymethylfurfural (HMF). We systematically discuss the catalytic roles of different POM families (classical POMs and their cation-modified derivatives, supported POM materials, and structurally novel POM architectures) in lignin depolymerization and examine the selective redox transformations involved in FF and HMF valorization. Moreover, we show how the properties of POM catalysts govern reaction pathways, product selectivity, and reaction mechanisms under thermal, photocatalytic, and electrocatalytic conditions and discuss the challenges and future opportunities for biomass valorization using POM-based catalytic systems.

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Polyoxometalates
Article number: 9140130

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Cite this article:
Zhang P, Lei P, Li J, et al. Polyoxometalate catalysts for the selective transformation of lignocellulosic biomass: Lignin depolymerization and furan derivative valorization. Polyoxometalates, 2026, 5(3): 9140130. https://doi.org/10.26599/POM.2026.9140130

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Received: 02 February 2026
Revised: 13 March 2026
Accepted: 31 March 2026
Published: 30 April 2026
© The Author(s) 2026. Published by Tsinghua University Press.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the original author(s) and the source, provide a link to the license, and indicate if changes were made. Seehttps://creativecommons.org/licenses/by/4.0/