CuO/Bi<sub>2</sub>CuO<sub>4</sub> Heterostructured Electrocatalyst for the Efficient Reduction of Nitrate to Ammonia

The electrochemical reduction of nitrate to ammonia (NH<sub>3</sub>) not only provides an effective approach to balance the perturbed nitrogen cycle for addressing environmental issues but also provides a potential technology for green NH<sub>3</sub> synthesis. However, the process is limited by the produced intermediate-nitrite that tends to accumulate on cathode surfaces and multiple competing reactions. Herein, CuO/Bi<sub>2</sub>CuO<sub>4</sub>-450 heterostructures are reported as efficient electrocatalysts for the nitrate reduction reaction with extraordinary catalytic activities and selectivities for NH<sub>3</sub> production. The optimized catalyst achieves a remarkable Faradaic efficiency (96.49%) and exceptional NH<sub>3</sub> yield rate (9.17 mg h<sup>-1</sup> mg<sub>cat.</sub><sup>-1</sup>) at -0.5 V versus RHE, surpassing most of the reported Cu-based catalytic systems. The characterization results and theoretical evidence reveal that the interface effect originating from the strong interaction between Bi<sub>2</sub>CuO<sub>4</sub> and CuO tunes the electronic structures of the Cu and Bi active sites for optimized intermediate adsorption and lowers the rate-determining step reaction barriers, resulting in improved catalytic performance. This work offers a strategy to flexibly develop catalysts to promote electrocatalytic techniques for NH<sub>3</sub> production by electrochemical nitrate reduction.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-05-16
DOI
https://doi.org/10.1021/acsami.5c03466
Citations
5
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
1.94

Funders

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

CuO/Bi2CuO4 Heterostructured Electrocatalyst for the Efficient Reduction of Nitrate to Ammonia

Ying Qu, Bo Peng, Xingcheng Ma, Lixin Chen et al.
5 citations
ACS Applied Materials & Interfaces
Ammonia Synthesis and Nitrogen Reduction
1.94
article

CuO/Bi2CuO4 Heterostructured Electrocatalyst for the Efficient Reduction of Nitrate to Ammonia

Ying Qu, Bo Peng, Xingcheng Ma, Lixin Chen, Boran Yang, Hongli Wang, K. Li
article en
5 citations

Abstract

The electrochemical reduction of nitrate to ammonia (NH<sub>3</sub>) not only provides an effective approach to balance the perturbed nitrogen cycle for addressing environmental issues but also provides a potential technology for green NH<sub>3</sub> synthesis. However, the process is limited by the produced intermediate-nitrite that tends to accumulate on cathode surfaces and multiple competing reactions. Herein, CuO/Bi<sub>2</sub>CuO<sub>4</sub>-450 heterostructures are reported as efficient electrocatalysts for the nitrate reduction reaction with extraordinary catalytic activities and selectivities for NH<sub>3</sub> production. The optimized catalyst achieves a remarkable Faradaic efficiency (96.49%) and exceptional NH<sub>3</sub> yield rate (9.17 mg h<sup>-1</sup> mg<sub>cat.</sub><sup>-1</sup>) at -0.5 V versus RHE, surpassing most of the reported Cu-based catalytic systems. The characterization results and theoretical evidence reveal that the interface effect originating from the strong interaction between Bi<sub>2</sub>CuO<sub>4</sub> and CuO tunes the electronic structures of the Cu and Bi active sites for optimized intermediate adsorption and lowers the rate-determining step reaction barriers, resulting in improved catalytic performance. This work offers a strategy to flexibly develop catalysts to promote electrocatalytic techniques for NH<sub>3</sub> production by electrochemical nitrate reduction.

ACS Applied Materials & InterfacesVol. 17(21)
Division of Materials Science and Engineering (AU), Changchun University of Technology (CN)
Education Department of Jilin Province, Jilin Scientific and Technological Development Program
Clean water and sanitation
Openalex Percentile: Top 14%
Ammonia Synthesis and Nitrogen Reduction
1.94
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.