journal article·2026-06

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

Zunfei Ma, Shuo Zhang, Hua Tian, Chaoqun Zheng, Mengru Guo, Yuanrong Yang, Tianyu Wang, Feng Wang, Lina Sui, Lifeng Dong, Liyan Yu

Advanced Functional Materials· Volume 36· Issue 48
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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.
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Research context

OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · CO2 Reduction Techniques and Catalysts · Environmental remediation with nanomaterials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Materials Science and Engineering Qingdao University of Science and Technology Qingdao P. R. China

Shandong Linglong Rubber Technology Co., Ltd. Yantai P. R. China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Shandong Province

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