Engineering Amorphous/Crystalline Ni/NiO Electrocatalysts for Highly Efficient Hydrogen Peroxide Production

Enhanced O<sub>2</sub> adsorption and favorable oxygen-intermediate desorption are essential for efficient electrochemical hydrogen peroxide production (EHPP) via the two-electron oxygen reduction reaction (2e<sup>-</sup> ORR). Here, we report an amorphous/crystalline Ni-NiO electrocatalyst synthesized via a partial reduction strategy. By engineering the amorphous/crystalline interfacial strain through varying the reduction time, the optimized Ni/NiO catalyst achieves a hydrogen peroxide selectivity of 91.78% with a Faradaic efficiency of 97.47%. It maintains a high H<sub>2</sub>O<sub>2</sub> yield of 949.5 mM/g<sup>-1</sup><sub>cat</sub> h<sup>-1</sup> across three electrode systems, outperforming most Ni-based benchmarks. Density functional theory calculations and in situ characterizations reveal that strain at unsaturated Ni sites promotes electron redistribution and Ni-O bond lengthening, thereby shifting the d-p band center difference to favor O<sub>2</sub> adsorption while weakening *OOH binding. The enhanced O<sub>2</sub> adsorption and accelerated *OOH desorption direct the ORR pathway toward the two-electron route for H<sub>2</sub>O<sub>2</sub> generation. Furthermore, the in situ generated H<sub>2</sub>O<sub>2</sub> effectively degrades organic pollutants, indicating its practical utility in water remediation. This work presents the strain engineering approach in amorphous/crystalline Ni/NiO heterostructures for high-performance EHPP and selective two-electron ORR.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-10-23
DOI
https://doi.org/10.1021/acsnano.5c13941
Citations
5
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering Amorphous/Crystalline Ni/NiO Electrocatalysts for Highly Efficient Hydrogen Peroxide Production

Jiazhou Meng, Zhao‐Qing Liu, Kengbo Ding, Rongyue Wang et al.
5 citations
ACS Nano
Electrocatalysts for Energy Conversion
1.82
article

Engineering Amorphous/Crystalline Ni/NiO Electrocatalysts for Highly Efficient Hydrogen Peroxide Production

Jiazhou Meng, Zhao‐Qing Liu, Kengbo Ding, Rongyue Wang, Dexuan Li, Yuqiong Li, Chuanhao Li, Jiapeng Zhong
article en
5 citations

Abstract

Enhanced O<sub>2</sub> adsorption and favorable oxygen-intermediate desorption are essential for efficient electrochemical hydrogen peroxide production (EHPP) via the two-electron oxygen reduction reaction (2e<sup>-</sup> ORR). Here, we report an amorphous/crystalline Ni-NiO electrocatalyst synthesized via a partial reduction strategy. By engineering the amorphous/crystalline interfacial strain through varying the reduction time, the optimized Ni/NiO catalyst achieves a hydrogen peroxide selectivity of 91.78% with a Faradaic efficiency of 97.47%. It maintains a high H<sub>2</sub>O<sub>2</sub> yield of 949.5 mM/g<sup>-1</sup><sub>cat</sub> h<sup>-1</sup> across three electrode systems, outperforming most Ni-based benchmarks. Density functional theory calculations and in situ characterizations reveal that strain at unsaturated Ni sites promotes electron redistribution and Ni-O bond lengthening, thereby shifting the d-p band center difference to favor O<sub>2</sub> adsorption while weakening *OOH binding. The enhanced O<sub>2</sub> adsorption and accelerated *OOH desorption direct the ORR pathway toward the two-electron route for H<sub>2</sub>O<sub>2</sub> generation. Furthermore, the in situ generated H<sub>2</sub>O<sub>2</sub> effectively degrades organic pollutants, indicating its practical utility in water remediation. This work presents the strain engineering approach in amorphous/crystalline Ni/NiO heterostructures for high-performance EHPP and selective two-electron ORR.

ACS NanoVol. 19(43)
Sun Yat-sen University (CN), South China Normal University (CN), Guangzhou University (CN), Key Laboratory of Guangdong Province (CN), Ministry of Energy (IL)
Openalex Percentile: Top 14%
Electrocatalysts for Energy Conversion
1.82
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.