Issue 14, 2025

Facile synthesized Cu2O nanoparticles for efficient electrocatalytic nitrate reduction to ammonia in ultralow nitrate concentration

Abstract

The electrochemical reduction of nitrate (NO3) to ammonia (NH3) presents a sustainable strategy for wastewater treatment and NH3 production. However, achieving high NH3 yields at low NO3 concentration is of greater significance, posing a significant challenge to the catalyst performance. In this study, Cu2O nanoparticle electrocatalysts (NPs) were prepared via a simple in situ reduction method for the electrocatalytic reduction of NO3 to NH3 (NO3RR). When simulating the NO3RR in an industrially polluted of high-concentration electrolyte containing 100 mM NaNO3, the catalyst achieved FENH3 of 95.74% at −0.8 V vs. SHE and NH3 yield of 24.01 ± 0.52 mgNH3 mgcat−1 h−1 at −1.0 V vs. SHE, representing a leading performance level. Delightfully, the Cu2O NP electrocatalyst achieved a faradaic efficiency of 58.82 ± 1.53% for NH3 production, with a partial current density of 25.02 mA cm−2 at −0.8 V vs. SHE in an ultralow electrolyte (1 mM NaNO3). The NH3 yield reached 5.66 ± 0.18 mgNH3 mgcat−1 h−1 at −0.9 V vs. SHE, demonstrating remarkable performance under ultra-low NO3 concentration conditions. Additionally, in situ Fourier infrared (FTIR) spectroscopy was employed to analyze key reaction intermediates and elucidate the reaction mechanism. This study provides a facile and practical approach for achieving high NH3 yields even at ultralow NO3 concentration.

Graphical abstract: Facile synthesized Cu2O nanoparticles for efficient electrocatalytic nitrate reduction to ammonia in ultralow nitrate concentration

Supplementary files

Article information

Article type
Paper
Submitted
13 Mar 2025
Accepted
26 May 2025
First published
27 May 2025

Catal. Sci. Technol., 2025,15, 4238-4244

Facile synthesized Cu2O nanoparticles for efficient electrocatalytic nitrate reduction to ammonia in ultralow nitrate concentration

L. Yang, F. Li, H. Li, X. Yu, Y. Di, H. Chen, S. Xie, X. Xi, W. Han, X. Yue and J. Xiang, Catal. Sci. Technol., 2025, 15, 4238 DOI: 10.1039/D5CY00313J

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