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Organic Oxidation-assisted Hydrogen Production: Glycerol Electroreforming to Formate on Nickel Diselenide Nanoparticles

Abstract

The energy efficiency of water electrolysis is limited by the sluggish kinetics of the anodic oxygen evolution reaction (OER), which simultaneously produces a low-value product, oxygen. A promising strategy to address this challenge is to replace OER with a more favorable oxidation reaction that yields a valuable co-product. In this study, we investigate the electrochemical reforming of glycerol in alkaline media to simultaneously produce hydrogen at a Pt cathode and formate at a NiSe₂ anode. The NiSe₂ electrode achieves a glycerol oxidation reaction (GOR) current density of up to 100 mA cm−2 in a 1 M KOH solution containing 1 M glycerol, significantly outperforming a reference elemental Ni electrode. Both electrodes exhibit high Faradaic efficiencies (FE), achieving around 93 % for formate production at an applied potential of 1.6 V vs. RHE. To rationalize this exceptional performance, density functional theory (DFT) calculations were conducted, revealing that the incorporation of Se into NiSe₂ enhances the glycerol adsorption and modulates the electron density, thereby lowering the energy barrier for the initial dehydrogenation step in the formate formation pathway. These findings provide valuable insights for the design of cost-effective, high-performance electrocatalysts for organic oxidation-assisted hydrogen production, advancing a more sustainable and economically attractive route for hydrogen generation and chemical valorization.

Funding source: This research was supported by the National Natural Science Foundation of China Grant No. 51978089, the Natural Science Foundation of Sichuan Province of China Grant No. 2023NSFSC1967, the Innovation Team of Chengdu Normal University Grant number CSCXTD2020B09, and Indoor Space Layout Optimization and Safety Guarantee Sichuan University Key Laboratory Open Project (SNKJ202501, SNKJ202504, SNKJ202505, SNKJ202506). L. Yang is grateful for the project (Grant MSSB-2024-02) funed by Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province. It was also funded by the China Postdoctoral Science Foundation (Project No. 2023MD734228). ICN2 acknowledges funding from Generalitat de Catalunya 2021SGR00457. The authors thank the Shiyanjia Lab (www.shiyanjia.com) for conducting the XPS analysis. This study is part of the Advanced Materials programme and was supported by MCIN with funding from European Union NextGenerationEU (PRTR-C17⋅I1) and by Generalitat de Catalunya (In-CAEM Project). The authors thank support from the project AMaDE (PID2023-149158OBC43), funded by MCIN/ AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”, by the “European Union”. ICN2 is supported by the Severo Ochoa program from Spanish MCIN/AEI (Grant No.: CEX2021-001214-S) and is funded by the CERCA Programme/Generalitat de Catalunya. Part of the present work has been performed in the framework of Universitat Autonoma ` de Barcelona Materials Science PhD program. JY has received funding from the CSC-UAB PhD scholarship program. ICN2 is founding member of e-DREAM.
Related subjects: Production & Supply Chain
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/content/journal7411
2025-07-24
2025-12-05
/content/journal7411
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