Issue 5, 2025

Efficient Co and GO co-doped TiO2 catalysts for the electrochemical reduction of nitrate to ammonia

Abstract

Electrocatalytic nitrate (NO3) reduction to ammonia (NH3) has emerged as an environmentally friendly method for ammonia production due to its clean, efficient, and sustainable attributes. In this study, we prepared Co-doped TiO2 materials with graphene oxide (GO), Co–TiO2/GO, as potential NO3RR electrocatalysts. Scanning electron microscopy (SEM) images revealed a spherical structure for the catalysts. Following a series of electrochemical tests, our findings indicated that Co-doping significantly enhances the NO3RR activity of TiO2. Furthermore, incorporating GO notably diminishes the initial potential of titania-based catalysts, thereby strengthening the NO3RR performance of TiO2. The engineered Co–TiO2/GO exhibits superior NO3RR electrochemical properties, achieving an NH3 yield of up to 7.424 mg h−1 cm−2 and a Faraday efficiency of up to 56.5% at −1.1 V vs. RHE potential. This performance surpasses that of Co–TiO2, with minimal by-product NO2 generation. We also conducted tests without the catalyst and in the absence of NO3 in the electrolyte, confirming that the nitrogen in the synthesized ammonia was not derived from impurities in the catalyst or the electrolyte. Furthermore, Co–TiO2/GO demonstrated robust stability during eight cycles and 24 hours of continuous testing for the NO3RR performance. Theoretical calculations suggest that doping TiO2 with Co and GO can enhance its electronic structure and conductivity, thereby facilitating the electrochemical synthesis of ammonia.

Graphical abstract: Efficient Co and GO co-doped TiO2 catalysts for the electrochemical reduction of nitrate to ammonia

Supplementary files

Article information

Article type
Communication
Submitted
15 Oct 2024
Accepted
27 Jan 2025
First published
28 Jan 2025

Catal. Sci. Technol., 2025,15, 1445-1455

Efficient Co and GO co-doped TiO2 catalysts for the electrochemical reduction of nitrate to ammonia

P. Lin, R. Chen, S. Xu, X. Xia, F. Zhao, X. Ren, Y. Lu, L. Gao, J. Bao and A. Liu, Catal. Sci. Technol., 2025, 15, 1445 DOI: 10.1039/D4CY01228C

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