Highly Efficient Ammonia Synthesis via Electrochemical Nitrite Reduction Using a Nitrite Reductase‐Mimicking Heterostructured Catalyst

Abstract Electrochemical nitrite reduction reaction (NO 2 − RR) offers an energy‐efficient route for ammonia (NH 3 ) synthesis and mitigation of nitrite wastewater pollution. However, due to the complicated reaction route involving multiple electron and proton transfers, the near 100% reaction selectivity has yet to be achieved, especially when dealing with dilute nitrite solutions. Copper‐type nitrite reductases (Cu‐NIRs) effectively catalyzes the reduction of nitrite in the nitrogen cycle in nature. Herein, as inspired by structural enzymology, a Cu‐NIRs‐mimicking heterostructured CuFe/NiFe catalyst is constructed for efficient reduction of dilute nitrite to ammonia. Mechanistic studies consisting of several advanced operando characterizations and theoretical calculations illustrate that the NiFe phase plays a dual role of hydrogen and electron donating center, while the CuFe phase serves as the active center. The bio‐inspired heterostructure well mimics the operation mechanism of Cu‐NIRs, delivers a nearly 100% Faradaic efficiency at a broad potential range above −0.5 V versus reversible hydrogen electrode, and reaches a peak NH 3 yield rate of 45.61 mg h −1 mg −1 . This work highlights the biomimetic strategy for catalyst design, paving the way for their rational application in various electrocatalytic field.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-08-08
DOI
https://doi.org/10.1002/adfm.202514967
Citations
2
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.78

Funders

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

Highly Efficient Ammonia Synthesis via Electrochemical Nitrite Reduction Using a Nitrite Reductase‐Mimicking Heterostructured Catalyst

Tao Qian, Jin Wang, Wenjun Shi, Ming Ge et al.
2 citations
Advanced Functional Materials
Ammonia Synthesis and Nitrogen Reduction
0.78
article

Highly Efficient Ammonia Synthesis via Electrochemical Nitrite Reduction Using a Nitrite Reductase‐Mimicking Heterostructured Catalyst

Tao Qian, Jin Wang, Wenjun Shi, Ming Ge, Feimeng Zhou, Xiaolei Yuan, Xiaowei Shen, Weiyi Shen, Meng-Fan Wang, Sisi Liu, Chenglin Yan
article en
2 citations

Abstract

Abstract Electrochemical nitrite reduction reaction (NO 2 − RR) offers an energy‐efficient route for ammonia (NH 3 ) synthesis and mitigation of nitrite wastewater pollution. However, due to the complicated reaction route involving multiple electron and proton transfers, the near 100% reaction selectivity has yet to be achieved, especially when dealing with dilute nitrite solutions. Copper‐type nitrite reductases (Cu‐NIRs) effectively catalyzes the reduction of nitrite in the nitrogen cycle in nature. Herein, as inspired by structural enzymology, a Cu‐NIRs‐mimicking heterostructured CuFe/NiFe catalyst is constructed for efficient reduction of dilute nitrite to ammonia. Mechanistic studies consisting of several advanced operando characterizations and theoretical calculations illustrate that the NiFe phase plays a dual role of hydrogen and electron donating center, while the CuFe phase serves as the active center. The bio‐inspired heterostructure well mimics the operation mechanism of Cu‐NIRs, delivers a nearly 100% Faradaic efficiency at a broad potential range above −0.5 V versus reversible hydrogen electrode, and reaches a peak NH 3 yield rate of 45.61 mg h −1 mg −1 . This work highlights the biomimetic strategy for catalyst design, paving the way for their rational application in various electrocatalytic field.

Advanced Functional MaterialsVol. 36(7)
Nantong University (CN), Soochow University (CN), Changzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Clean water and sanitation
Openalex Percentile: Top 29%
Ammonia Synthesis and Nitrogen Reduction
0.78
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.