Haoyue Sun, Ying Shu, Yuhang Liang and Jun Huang*,
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引用次数: 0
Abstract
The selective oxidation of biomass-derived compounds is a cornerstone of sustainable chemical production, offering pathways to integrate renewable energy into industrial processes. In this work, we present the first proton exchange membrane (PEM) photoelectrochemical (PEC) flow cell for simultaneous glycerol valorization and hydrogen peroxide (H2O2) production. Bi2O2.33/TiO2 (BO-x/TO, x = 1, 2, and 3) heterostructures were optimized as advanced photoanodes to achieve selective glycerol oxidation to dihydroxyacetone (DHA) at a low bias of 0.45 V vs. RHE. The optimized BO-2/TO photoanode demonstrated a photocurrent density of 1.2 mA cm–2, achieving a DHA yield of 1680 mmol m–2 h–1 with 49% selectivity. Mechanistic insights revealed that the incorporation of BO not only selectively activates the middle hydroxyl group of glycerol but also enhances the generation of hydroxyl radicals (•OH), which are critical for promoting selective oxidation to DHA while suppressing overoxidation pathways. Simultaneously, the cathode yields H2O2 on-site and enhances the overall system performance. This innovative integration of PEM technology with PEC systems establishes a scalable and energy-efficient platform for biomass valorization, bridging the gap between green chemistry and renewable energy and setting a new benchmark for sustainable chemical transformation.
期刊介绍:
Energy & Fuels publishes reports of research in the technical area defined by the intersection of the disciplines of chemistry and chemical engineering and the application domain of non-nuclear energy and fuels. This includes research directed at the formation of, exploration for, and production of fossil fuels and biomass; the properties and structure or molecular composition of both raw fuels and refined products; the chemistry involved in the processing and utilization of fuels; fuel cells and their applications; and the analytical and instrumental techniques used in investigations of the foregoing areas.