Li Li, Wang Qiang, Chen Yanling, Chen Xuan, Shi Quguo
College of Mechanical and Electrical Engineering, Suzhou University, Suzhou, Anhui, China.
Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, Suzhou University, Suzhou, Anhui, China.
Front Chem. 2025 Jul 18;13:1599613. doi: 10.3389/fchem.2025.1599613. eCollection 2025.
Efficient and selective electrocatalytic reduction of nitrate (NO ) to ammonia (NH) is a crucial step in addressing environmental and energy challenges. Here, we present the synthesis and characterization of Cu/CF, Co-OH/CF, and a series of Cu/Co-OH/CF electrocatalysts on copper foam (CF) substrates using a hydrothermal method. These catalysts were utilized as working electrodes for nitrate reduction, resulting in the production of NH. Through X-ray photoelectron spectroscopy (XPS) analysis, we confirm the presence of metallic Cu species and oxidized Co states in the electrocatalysts, indicating the successful formation of Cu/Co-OH/CF composites. By precisely controlling the quantities of cobalt in the composite, we demonstrate the ability to finely tune the nitrate reduction efficiency and selectivity of the final product. Notably, our findings reveal that the Co-(OH) species in the Cu/Co-OH/CF electrocatalysts play a pivotal role in determining the selectivity of the final product by effectively suppressing the undesired hydrogen evolution reaction. Simultaneously, Cu acts as an active component in the reduction of NO into ammonia. Our work offers valuable guidance for designing advanced electrocatalytic systems with enhanced Faraday efficiency and selectivity, thereby contributing to the development of sustainable and efficient nitrate reduction technologies.
将硝酸盐(NO₃⁻)高效且选择性地电催化还原为氨(NH₃)是应对环境和能源挑战的关键一步。在此,我们展示了采用水热法在泡沫铜(CF)基底上合成并表征Cu/CF、Co-OH/CF以及一系列Cu/Co-OH/CF电催化剂。这些催化剂被用作硝酸盐还原的工作电极,从而产生了NH₃。通过X射线光电子能谱(XPS)分析,我们证实了电催化剂中存在金属Cu物种和氧化态的Co,这表明成功形成了Cu/Co-OH/CF复合材料。通过精确控制复合材料中钴的含量,我们展示了微调最终产物硝酸盐还原效率和选择性的能力。值得注意的是,我们的研究结果表明,Cu/Co-OH/CF电催化剂中的Co-(OH)物种通过有效抑制不期望的析氢反应,在决定最终产物的选择性方面起着关键作用。同时,Cu在将NO₃⁻还原为氨的过程中作为活性成分。我们的工作为设计具有更高法拉第效率和选择性的先进电催化系统提供了有价值的指导,从而有助于可持续和高效的硝酸盐还原技术的发展。