Ru‐Modulated High‐Entropy Spinel Oxides Enable Efficient and Selective Electrochemical Nitrate Reduction to Ammonia

ABSTRACT Electrochemical nitrate reduction to ammonia is a highly desirable route for simultaneous nitrate remediation and renewable NH 3 electro‐generation, but its kinetics of multistep proton–electron transfer and the competing reaction limit activity and selectivity. Here, we construct a Ru‐modulated high‐entropy spinel oxide, (Fe 0.2 Co 0.2 Ni 0.2 Cu 0.2 Ru 0.2 ) 3 O 4 (Ru‐HESO), to disrupt electronic averaging within high‐entropy oxides, realize site‐dependent catalytic modulation. Ru‐HESO achieves a high NH 3 Faradaic efficiency of 94.9% at −0.3 V versus RHE and maximal NH 3 yield rate of 66.5 mg h −1 cm −2 , maintaining stable operation for 60 h. In situ Raman spectroscopy, in situ FTIR spectroscopy, and online DEMS collectively observe the evolving NO x ‐to‐NH x intermediates and substantiate a stepwise hydrogenation process toward NH 3 . Density functional theory reveals that Ru substitution alters the d‐band characteristics, lowers the kinetic bottleneck, and changes the rate‐determining step on Ru‐HESO while moderate H binding. This work establishes a modulator‐driven paradigm for high‐entropy spinel electrocatalyst design and provides mechanistic insights for the rational design of effective electrocatalysts for multi‐electron nitrogen conversions.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-04-29
DOI
https://doi.org/10.1002/adfm.75667
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Ru‐Modulated High‐Entropy Spinel Oxides Enable Efficient and Selective Electrochemical Nitrate Reduction to Ammonia

Fang Wang, S ZHANG, Yuanrong Yang, Zunfei Ma et al.
Advanced Functional Materials
Ammonia Synthesis and Nitrogen Reduction
article

Ru‐Modulated High‐Entropy Spinel Oxides Enable Efficient and Selective Electrochemical Nitrate Reduction to Ammonia

Fang Wang, S ZHANG, Yuanrong Yang, Zunfei Ma, Hua Tian, Mengru Guo, Tianyu Wang, Liyan Yu, Chaoqun Zheng, Lifeng Dong, Lina Sui
article en

Abstract

ABSTRACT Electrochemical nitrate reduction to ammonia is a highly desirable route for simultaneous nitrate remediation and renewable NH 3 electro‐generation, but its kinetics of multistep proton–electron transfer and the competing reaction limit activity and selectivity. Here, we construct a Ru‐modulated high‐entropy spinel oxide, (Fe 0.2 Co 0.2 Ni 0.2 Cu 0.2 Ru 0.2 ) 3 O 4 (Ru‐HESO), to disrupt electronic averaging within high‐entropy oxides, realize site‐dependent catalytic modulation. Ru‐HESO achieves a high NH 3 Faradaic efficiency of 94.9% at −0.3 V versus RHE and maximal NH 3 yield rate of 66.5 mg h −1 cm −2 , maintaining stable operation for 60 h. In situ Raman spectroscopy, in situ FTIR spectroscopy, and online DEMS collectively observe the evolving NO x ‐to‐NH x intermediates and substantiate a stepwise hydrogenation process toward NH 3 . Density functional theory reveals that Ru substitution alters the d‐band characteristics, lowers the kinetic bottleneck, and changes the rate‐determining step on Ru‐HESO while moderate H binding. This work establishes a modulator‐driven paradigm for high‐entropy spinel electrocatalyst design and provides mechanistic insights for the rational design of effective electrocatalysts for multi‐electron nitrogen conversions.

Advanced Functional Materials
Qingdao University of Science and Technology (CN), Shandong Institute of Business and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
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.