Activating Surface Oxygen in Ce/Mo‐Doped Ni Oxyhydroxide for Synergistically Enhancing Furfural Oxidation and Hydrogen Evolution at Ampere‐Level Current Densities

Abstract The integration of biomass‐platform molecule oxidation with water electrolysis is a promising strategy to reduce energy consumption in hydrogen production and obtain high‐value chemicals simultaneously, yet the efficiency of organic oxidation requires further improvement. Herein, we developed a highly efficient Ce, Mo co‐doped Ni‐based (oxy)hydroxide catalyst, where Mo with high spin state promotes the adsorption of furfural (FA), while Ce activates surface lattice oxygen (O L ), lowering the energy barrier for O L ─OH coupling to form OOH, the key intermediate for high current densities. The catalyst achieves an industrial‐grade current density of 1000 mA cm − 2 at a remarkably low potential of 1.46 V versus RHE in furfural oxidation, with exceptional selectivity (99.4%) and Faradaic efficiency (97.7%) for furoic acid. When deployed as anode in an anion‐exchange membrane reactor, the NiMoCe/NF catalyst sustains a current density of 500 and 1000 mA cm − 2 at a cell voltage of only 1.85 and 2.15 V, respectively, surpassing most reported continuous flow electrolyzers limited to 200 mA cm − 2 . Moreover, the system exhibits outstanding durability after 200 h of continuous operation. This work provides critical insights into the rational design of catalysts for energy‐efficient biomass valorization coupled with industrial hydrogen production.

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Publication Details

Journal
Angewandte Chemie
Published
2025-05-07
DOI
https://doi.org/10.1002/ange.202506017
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
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article

Activating Surface Oxygen in Ce/Mo‐Doped Ni Oxyhydroxide for Synergistically Enhancing Furfural Oxidation and Hydrogen Evolution at Ampere‐Level Current Densities

Zidong Wei, Xun Huang, Xiaohua Hu, Lingping Hu et al.
1 citations
Angewandte Chemie
Advanced Memory and Neural Computing
0.73
article

Activating Surface Oxygen in Ce/Mo‐Doped Ni Oxyhydroxide for Synergistically Enhancing Furfural Oxidation and Hydrogen Evolution at Ampere‐Level Current Densities

Zidong Wei, Xun Huang, Xiaohua Hu, Lingping Hu, Yang Xiang, Tian Yu Cao, Li Li, Jia Cheng
article en
1 citations

Abstract

Abstract The integration of biomass‐platform molecule oxidation with water electrolysis is a promising strategy to reduce energy consumption in hydrogen production and obtain high‐value chemicals simultaneously, yet the efficiency of organic oxidation requires further improvement. Herein, we developed a highly efficient Ce, Mo co‐doped Ni‐based (oxy)hydroxide catalyst, where Mo with high spin state promotes the adsorption of furfural (FA), while Ce activates surface lattice oxygen (O L ), lowering the energy barrier for O L ─OH coupling to form OOH, the key intermediate for high current densities. The catalyst achieves an industrial‐grade current density of 1000 mA cm − 2 at a remarkably low potential of 1.46 V versus RHE in furfural oxidation, with exceptional selectivity (99.4%) and Faradaic efficiency (97.7%) for furoic acid. When deployed as anode in an anion‐exchange membrane reactor, the NiMoCe/NF catalyst sustains a current density of 500 and 1000 mA cm − 2 at a cell voltage of only 1.85 and 2.15 V, respectively, surpassing most reported continuous flow electrolyzers limited to 200 mA cm − 2 . Moreover, the system exhibits outstanding durability after 200 h of continuous operation. This work provides critical insights into the rational design of catalysts for energy‐efficient biomass valorization coupled with industrial hydrogen production.

Angewandte ChemieVol. 137(28)
Chongqing University (CN)
Openalex Percentile: Top 29%
Advanced Memory and Neural Computing
0.73
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Activating Surface Oxygen in Ce/Mo‐Doped Ni Oxyhydroxide for Synergistically Enhancing Furfural Oxidation and Hydrogen Evolution at Ampere‐Level Current Densities — Zidong Wei, Xun Huang, et al. · Angewandte Chemie (2025) | TGRS Research Map | TGRS