文献类型：期刊文献

英文题名：Mechanistic Insights into Photocatalytic Conversion of Biomass-Derived Platform Molecules

作者：Xu, Yilin[1];Peng, Yu[1];Yang, Hua Gui[1];Hou, Yu[1]

机构：[1]East China Univ Sci & Technol, Key Lab Ultrafine Mat, Shanghai Engn Res Ctr Hierarch Nanomat, Sch Mat Sci & Engn,Minist Educ, Shanghai, Peoples R China

年份：2026

卷号：19

期号：1

外文期刊名：CHEMSUSCHEM

收录：;EI(收录号：20260219867797);WOS:【SCI-EXPANDED(收录号:WOS:001679984200026)】；

基金：This work was financially supported by the National Key Research and Development Program of China (2024YFF0506203), National Natural Science Foundation of China (22379044 and 52203330), Shanghai Pilot Program for Basic Research (22TQ1400100-5), Shanghai Municipal Natural Science Foundation (25ZR1401081), the Fundamental Research Funds for the Central Universities (JKD01251841, JKD01251505, and JKVD1251041), Shanghai Engineering Research Center of Hierarchical Nanomaterials (18DZ2252400), Shanghai Titan Natural Science Development Foundation, and Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism (Shanghai Municipal Education Commission).

语种：英文

外文关键词：biomass-derived platform molecules; charge transfer; photocatalysis; reaction mechanisms; reactive intermediates

摘要：Photocatalytic conversion of biomass-derived platform molecules provides a promising route to store intermittent solar energy as clean chemical energy, enabling the sustainable production of high-value chemicals from abundant, low-cost biomass. However, achieving high selectivity and conversion efficiency remains challenging due to the inherent complexity of multistep interfacial reaction pathways. This review concludes recent advances in mechanistic investigations that encompass all crucial processes, including active species evolution, intermediate transformation, charge transfer, and chemical bond cleavage/reformation, employing advanced experimental methods, including electron paramagnetic resonance spectroscopy, radical quenching, isotope labeling, and in situ Fourier transform infrared spectroscopy. The applicability, sensitivity, and limitations of these techniques are critically evaluated across diverse reaction environments. Finally, we outline key challenges, such as limited temporal resolution, and discuss prospects for integrating complementary operando techniques with data-guided mechanistic modeling.