Lattice Strain in Au <sub>3</sub> Cu Facilitated Hydrogen Spillover for Efficient Nitrate Electroreduction to Ammonia

Cu-based nanocatalysts have been widely studied for the electrochemical nitrate reduction reaction (NO3RR) to ammonia, yet their activity and selectivity remain limited. Herein, we demonstrate that lattice-strained Au3Cu, achieved by organizing Cu@Au3Cu core–shell nanocrystals (NCs), facilitates efficient high-concentration nitrate electroreduction to ammonia. Typically, an NH3 yield rate of 265.2 mg h–1 mgcat–1 is achieved, which is superb among reported Cu–Au catalysts. In situ experiments confirm that the strained Au3Cu promotes water dissociation under alkaline conditions, ensuring enhanced *H surface coverage to support efficient hydrogenation. Density functional theory (DFT) calculations further demonstrate the strain-induced upward shift of the d-band center strengthens NO3– adsorption and activation. More critically, the compressive strain within the Au3Cu shell drastically contracts Au–Cu interatomic distances, which achieves a substantial reduction in the energy barrier for hydrogen spillover from Au to Cu sites. These integrated effects collectively lower the energy barrier (0.12 eV) for forming the key reaction intermediate *NHO during the rate-determining step, boosting the overall NO3RR kinetics. Integrating the NO3RR catalyst into a Zn-NO3– battery as the cathode achieves a power density of 5.91 mW cm–2 and FE of 90.5% for NH3 production, highlighting the potential for energy-efficient nitrate-to-ammonia conversion.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2026-05-23
DOI
https://doi.org/10.1021/acsnano.6c04373
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lattice Strain in Au 3 Cu Facilitated Hydrogen Spillover for Efficient Nitrate Electroreduction to Ammonia

J W Zhang, X.C. Li, Tailei Hou, Lingzhe Meng et al.
ACS Nano
Ammonia Synthesis and Nitrogen Reduction
article

Lattice Strain in Au 3 Cu Facilitated Hydrogen Spillover for Efficient Nitrate Electroreduction to Ammonia

J W Zhang, X.C. Li, Tailei Hou, Lingzhe Meng, Hongfei Gu, Xingbao Chen, Bohan Wu, Guoquan Sun, Liqiang Mai
article en

Abstract

Cu-based nanocatalysts have been widely studied for the electrochemical nitrate reduction reaction (NO3RR) to ammonia, yet their activity and selectivity remain limited. Herein, we demonstrate that lattice-strained Au3Cu, achieved by organizing Cu@Au3Cu core–shell nanocrystals (NCs), facilitates efficient high-concentration nitrate electroreduction to ammonia. Typically, an NH3 yield rate of 265.2 mg h–1 mgcat–1 is achieved, which is superb among reported Cu–Au catalysts. In situ experiments confirm that the strained Au3Cu promotes water dissociation under alkaline conditions, ensuring enhanced *H surface coverage to support efficient hydrogenation. Density functional theory (DFT) calculations further demonstrate the strain-induced upward shift of the d-band center strengthens NO3– adsorption and activation. More critically, the compressive strain within the Au3Cu shell drastically contracts Au–Cu interatomic distances, which achieves a substantial reduction in the energy barrier for hydrogen spillover from Au to Cu sites. These integrated effects collectively lower the energy barrier (0.12 eV) for forming the key reaction intermediate *NHO during the rate-determining step, boosting the overall NO3RR kinetics. Integrating the NO3RR catalyst into a Zn-NO3– battery as the cathode achieves a power density of 5.91 mW cm–2 and FE of 90.5% for NH3 production, highlighting the potential for energy-efficient nitrate-to-ammonia conversion.

ACS Nano
Beijing Institute of Technology (CN), Wuhan University of Technology (CN), Division of Materials Science and Engineering (AU), High Throughput Biology (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 15%
Ammonia Synthesis and Nitrogen Reduction
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.