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Developing electrocatalysts that exhibit both high activity and ammonia selectivity for nitrate reduction is a significant and demanding challenge, primarily due to the complex nature of the multiple-electron reduction process involved. An encouraging approach involves coupling highly active precious metals with transition metals to enhance catalytic performance through synergy. Here, we report a ruthenium-nickel alloy catalyst with nanosheets (Ru-Ni NSs) structure that achieves a remarkable ammonia Faradaic efficiency of approximately 95.93%, alongside a yield rate of up to 6.11 g·h−1·cm−2. Moreover, the prepared Ru-Ni NSs exhibit exceptional stability during continuous nitrate reduction in a flow reactor for 100 h, maintaining a Faradaic efficiency of approximately 90% and an ammonia yield of 37.4 mg·L−1·h−1 using 0.05 M nitrate alkaline electrolyte. Mechanistic studies reveal that the catalytic process follows a two-step pathway, in which HONO serves as a migration intermediate. The presence of a partially oxidized Ru (002) surface enhances the adsorption of nitrate and facilitates the release of the migration intermediate by adjusting the strength of the electrostatic and covalent interactions between the adsorbate and the surface, respectively. On the other hand, the Ni (111) surface promotes the utilization of the migration intermediate and requires less energy for NH3 desorption. This tandem process contributes to a high catalytic activity of Ru-Ni NSs towards nitrate reduction.

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Acknowledgements

Publication history

Received: 31 October 2023
Revised: 17 December 2023
Accepted: 24 December 2023
Published: 01 February 2024

Copyright

© Tsinghua University Press 2024

Acknowledgements

Acknowledgements

This work was supported financially by the National Natural Science Foundation of China (No. 22006018), the General Project of Zhejiang Provincial Department of Education (No. Y202250180), the key Research and Development Project of Science and Technology Department of Zhejiang Province (No. 2023C02019), the National Key Research and Development Program of China (No. 2022YFE0127800), and the Talent Starting-up Project of Research Development Fund of Zhejiang A&F University (No. 2034020103). We thank Jiangsu Key Laboratory of Numerical Simulation of Large-Scale Complex System for technical support.

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