Co–Ni Synergy Engineered in a Perovskite for Highly Selective Nitrate Electroreduction to Ammonia

IF 8.4
Chem & Bio Engineering Pub Date : 2026-02-26 Epub Date: 2026-01-26 DOI:10.1021/cbe.5c00158
Xirui Wang, Qingyu Li, Mengyu Guo, Long Chen, Fenhong Zhao, Kang Liu, Yue Wang, Jiankun Sun, Lixue Zhang
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Abstract

Perovskite oxides have emerged as promising electrocatalysts for the nitrate reduction reaction (NO3RR) to ammonia, yet their practical application is often limited by unsatisfactory ammonia selectivity, low yield, and poor suppression of competing reactions. Herein, we develop a multimetallic perovskite electrocatalyst, La0.5Sr0.5Co0.5Ni0.5O3 (LSCNO), via a sol–gel method. Density functional theory (DFT) results show that Ni doping regulates the electronic structure of Co and shifts its d-band center upward. This optimization lowers the energy barrier of the *NO → *NOH rate-determining step and accelerates nitrate-reduction kinetics, further enhancing the intrinsic catalytic activity. As a result, LSCNO delivers a remarkable NO3RR performance, achieving a Faradaic efficiency of 94.96% and an NH3 yield rate of 9475.9 μg h–1 cm–2 at −0.5 V vs RHE, while maintaining excellent stability during 12 consecutive cycles and prolonged operation at a current density οf 150 mA cm–2. When implemented in a flow-cell system, compared to H-type electrolytic cells, the catalyst enables a steady increase in the ammonia yield at lower potential. Furthermore, a Zn-NO3– battery assembled with an LSCNO cathode delivers a peak power density of 10.19 mW cm–2 and outstanding long-term cycling durability over 10,000 min. These results highlight LSCNO as a highly efficient and stable catalyst for nitrate-to-amine conversion, demonstrating significant potential for practical nitrogen-resource recovery and sustainable energy storage.

Abstract Image

钙钛矿中Co-Ni协同工程用于高选择性硝酸电还原制氨。
钙钛矿氧化物已成为硝酸还原反应(NO3RR)制氨的电催化剂,但其实际应用往往受到氨选择性不理想、产率低和抑制竞争反应能力差的限制。本文采用溶胶-凝胶法制备了La0.5Sr0.5Co0.5Ni0.5O3 (LSCNO)多金属钙钛矿电催化剂。密度泛函理论(DFT)结果表明,Ni掺杂调节了Co的电子结构,使其d带中心向上移动。该优化降低了*NO→*NOH速率决定步骤的能垒,加速了硝酸盐还原动力学,进一步提高了本征催化活性。结果表明,LSCNO具有优异的NO3RR性能,在-0.5 V vs RHE条件下,faraday效率为94.96%,NH3产率为9475.9 μg -1 cm-2,同时在连续12次循环和150 mA cm-2电流密度下保持良好的稳定性。与h型电解槽相比,在液流电池系统中,该催化剂可以在较低电位下稳定地提高氨产量。此外,用LSCNO阴极组装的Zn-NO3 -电池的峰值功率密度为10.19 mW cm-2,并且具有超过10,000 min的长期循环耐久性。这些结果表明,LSCNO是一种高效稳定的硝酸盐-胺转化催化剂,在实际氮资源回收和可持续能量储存方面具有巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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