Co-Doped CuO Nanoarrays for Enhanced Electrocatalytic Nitrate Reduction to Ammonia via Active Hydrogen Regulation

Electrocatalytic reduction of nitrate (NO3–RR) has emerged as a promising technique for nitrate pollutant treatment, providing a viable pathway for nitrate removal and ammonia production. Copper oxide (CuO) electrocatalysts are particularly advantageous due to their low cost and favorable d-orbital energy alignment with the π-orbitals of nitrate molecules, which facilitates nitrate adsorption on the CuO surface and promotes the NO3–RR. However, CuO exhibits low selectivity for NH3 and is constrained by its low reduction rate at high potentials and competition with hydrogen evolution reactions at lower potentials, which hinders its practical application. To this end, cobalt-doped copper oxide nanoarrays (Co-doped CuO NAs) were hereby developed using a simple sequence of oxidation and hydrothermal methods. This nanostructure enhances the NO3–RR rate by providing additional active sites, thereby accelerating the reaction rate. Co doping effectively regulates the active hydrogen (H*) from water splitting, further enhancing the interaction with nitrate on the electrocatalyst surface and improving the NH3 yield. Specifically, in this work, Co-doped CuO NAs achieved a Faradaic efficiency of 95.99 ± 2.63% for ammonia production at −0.63 V vs RHE, with a rate of 8.41 ± 0.14 mg h–1 cm–2 and an ammonia selectivity of 98.30 ± 1.44%.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2025-01-27
DOI
https://doi.org/10.1021/acsanm.4c07317
Citations
7
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
2.72

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article

Co-Doped CuO Nanoarrays for Enhanced Electrocatalytic Nitrate Reduction to Ammonia via Active Hydrogen Regulation

Yaxuan Li, Fengjun Yin, Ling Fang, Zhexuan Li et al.
7 citations
ACS Applied Nano Materials
Ammonia Synthesis and Nitrogen Reduction
2.72
article

Co-Doped CuO Nanoarrays for Enhanced Electrocatalytic Nitrate Reduction to Ammonia via Active Hydrogen Regulation

Yaxuan Li, Fengjun Yin, Ling Fang, Zhexuan Li, Song Cheng
article en
7 citations

Abstract

Electrocatalytic reduction of nitrate (NO3–RR) has emerged as a promising technique for nitrate pollutant treatment, providing a viable pathway for nitrate removal and ammonia production. Copper oxide (CuO) electrocatalysts are particularly advantageous due to their low cost and favorable d-orbital energy alignment with the π-orbitals of nitrate molecules, which facilitates nitrate adsorption on the CuO surface and promotes the NO3–RR. However, CuO exhibits low selectivity for NH3 and is constrained by its low reduction rate at high potentials and competition with hydrogen evolution reactions at lower potentials, which hinders its practical application. To this end, cobalt-doped copper oxide nanoarrays (Co-doped CuO NAs) were hereby developed using a simple sequence of oxidation and hydrothermal methods. This nanostructure enhances the NO3–RR rate by providing additional active sites, thereby accelerating the reaction rate. Co doping effectively regulates the active hydrogen (H*) from water splitting, further enhancing the interaction with nitrate on the electrocatalyst surface and improving the NH3 yield. Specifically, in this work, Co-doped CuO NAs achieved a Faradaic efficiency of 95.99 ± 2.63% for ammonia production at −0.63 V vs RHE, with a rate of 8.41 ± 0.14 mg h–1 cm–2 and an ammonia selectivity of 98.30 ± 1.44%.

ACS Applied Nano MaterialsVol. 8(5)
Chongqing University (CN), Chongqing Institute of Green and Intelligent Technology (CN), University of Chinese Academy of Sciences (CN), Chongqing Jiaotong University (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Openalex Percentile: Top 10%
Ammonia Synthesis and Nitrogen Reduction
2.72
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Co-Doped CuO Nanoarrays for Enhanced Electrocatalytic Nitrate Reduction to Ammonia via Active Hydrogen Regulation — Yaxuan Li, Fengjun Yin, et al. · ACS Applied Nano Materials (2025) | TGRS Research Map | TGRS