Catalyst‐Engineered Proton Transfer Pathways for Selective Hydrogen Peroxide Electrosynthesis in Solid‐State Electrolytes

Abstract Polymer‐based solid electrolyte (SE) cells promise electrochemical synthesis of pure hydrogen peroxide (H 2 O 2 ), yet the protonation mechanisms governing the two‐electron oxygen reduction reaction (2e − ‐ORR) remain unclear when using pure water as the proton source. Both Langmuir–Hinshelwood (LH, surface *H‐mediated) and Eley–Rideal (ER, water‐derived proton‐coupled) pathways are theoretically plausible, but their practical dominance under SE conditions lacks experimental validation. Herein, we designed a hierarchical Ni─N 2 ─C─O single‐atom/NiO nanocluster co‐decorated porous carbon nanosheet catalyst (NiSA‐NiO/pCNs) that achieved a Faradaic efficiency of 97% and a H 2 O 2 partial current density of 356 mA cm⁻ 2 (equivalent to 6.6 mmol cm −2 h −1 production rate) in a porous SE cell. Analysis of reaction intermediates and the local pH using in situ Raman spectroscopy, kinetic isotope effect, and density functional theory simulations showed the critical role of NiO nanoclusters in tuning the protonation pathway: NiO activates the ER mechanism via fast proton transfer from water dissociation, whereas NiSA/pCNs without NiO preferentially follow the LH mechanism through surface‐adsorbed *H intermediates from interfacial transferred proton. These findings establish a catalyst design principle for proton transfer control in solid‐state H 2 O 2 electrosynthesis.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-07-04
DOI
https://doi.org/10.1002/ange.202510645
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Catalyst‐Engineered Proton Transfer Pathways for Selective Hydrogen Peroxide Electrosynthesis in Solid‐State Electrolytes

Wenxing Chen, Kai Chen, Yiqi Liang, Chunguang Jia et al.
Angewandte Chemie
Electrocatalysts for Energy Conversion
article

Catalyst‐Engineered Proton Transfer Pathways for Selective Hydrogen Peroxide Electrosynthesis in Solid‐State Electrolytes

Wenxing Chen, Kai Chen, Yiqi Liang, Chunguang Jia, Zhenhai Wen, Jun Wang, Ci Su, Junheng Huang, Junxiang Chen, Sen Lin, Yangjie Liu
article en

Abstract

Abstract Polymer‐based solid electrolyte (SE) cells promise electrochemical synthesis of pure hydrogen peroxide (H 2 O 2 ), yet the protonation mechanisms governing the two‐electron oxygen reduction reaction (2e − ‐ORR) remain unclear when using pure water as the proton source. Both Langmuir–Hinshelwood (LH, surface *H‐mediated) and Eley–Rideal (ER, water‐derived proton‐coupled) pathways are theoretically plausible, but their practical dominance under SE conditions lacks experimental validation. Herein, we designed a hierarchical Ni─N 2 ─C─O single‐atom/NiO nanocluster co‐decorated porous carbon nanosheet catalyst (NiSA‐NiO/pCNs) that achieved a Faradaic efficiency of 97% and a H 2 O 2 partial current density of 356 mA cm⁻ 2 (equivalent to 6.6 mmol cm −2 h −1 production rate) in a porous SE cell. Analysis of reaction intermediates and the local pH using in situ Raman spectroscopy, kinetic isotope effect, and density functional theory simulations showed the critical role of NiO nanoclusters in tuning the protonation pathway: NiO activates the ER mechanism via fast proton transfer from water dissociation, whereas NiSA/pCNs without NiO preferentially follow the LH mechanism through surface‐adsorbed *H intermediates from interfacial transferred proton. These findings establish a catalyst design principle for proton transfer control in solid‐state H 2 O 2 electrosynthesis.

Angewandte ChemieVol. 137(35)
Beijing Institute of Technology (CN), Chinese Academy of Sciences (CN), Fujian Institute of Research on the Structure of Matter (CN), University of Chinese Academy of Sciences (CN), Nanchang Hangkong University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 90%
Electrocatalysts for Energy Conversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.