ArticleResearch (Washington, D.C.)2025
S-Species-Stimulated Deep Reconstruction of Ultra-Homogeneous CuS Nanosheets for Efficient HMF Electrooxidation.
Article in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Structure-Property-Performance Correlation in Copper-Based Catalysts for Electrocatalytic Anodic Oxidation Reactions.ChemSusChem · 2026Review
- Metal-support interactionsChemical science · 2026Review
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efficient utilization of renewable biomass resources is one of the feasible approaches to address the massive consumption of fossil fuels accompanying severe resource crises and environmental pollution. Currently, 2,5-furandicarboxylic acid derived from the oxidation of biomass-based 5-hydroxymethylfurfural (HMF) is a valuable chemical as the alternative to the fossil resource-derived terephthalic acid. However, the development of high-performance and low-cost Cu-based electrocatalysts for the efficient HMF oxidation reaction (HMFOR) remains an enormous challenge. Guided by our theoretical prediction, we proposed a coordination-pyrolysis strategy to fabricate highly dispersed copper sulfide (CuS) nanosheets supported on N-doped porous carbon precatalyst (CuS@NC). The covalent S species trigger the deep reconstruction of CuS nanosheets, and the in situ generated SO
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