Suppr超能文献

用于高效电催化硝酸盐还原为氨的铜/氧化铜/石墨炔串联催化剂

Cu/CuO/Graphdiyne Tandem Catalyst for Efficient Electrocatalytic Nitrate Reduction to Ammonia.

作者信息

Feng Xueting, Liu Jiyuan, Kong Ya, Zhang Zixuan, Zhang Zedong, Li Shuzhou, Tong Lianming, Gao Xin, Zhang Jin

机构信息

Beijing National Laboratory for Molecular Sciences, Beijing Science and Engineering Center for Nanocarbons, College of Chemistry and Molecular Engineering, School of Materials Science and Engineering, Peking University, Beijing, 100871, P. R. China.

School of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore.

出版信息

Adv Mater. 2024 Nov;36(44):e2405660. doi: 10.1002/adma.202405660. Epub 2024 Sep 2.

Abstract

The electrocatalytic reduction reaction of nitrate (NO ) to ammonia (NH) is a feasible way to achieve artificial nitrogen cycle. However, the low yield rate and poor selectivity toward NH product is a technical challenge. Here a graphdiyne (GDY)-based tandem catalyst featuring Cu/CuO nanoparticles anchored to GDY support (termed Cu/CuO/GDY) for efficient electrocatalytic NO reduction is presented. A high NH yield rate of 25.4 mg h mg (25.4 mg h cm) with a Faradaic efficiency of 99.8% at an applied potential of -0.8 V versus RHE using the designed catalyst is achieved. These performance metrics outperform most reported NO to NH catalysts in the alkaline media. Electrochemical measurements and density functional theory reveal that the NO preferentially attacks Cu/CuO, and the GDY can effectively catalyze the reduction of NO to NH. This work highlights the efficacy of GDY as a new class of tandem catalysts for the artificial nitrogen cycle and provides powerful guidelines for the design of tandem electrocatalysts.

摘要

将硝酸盐(NO₃⁻)电催化还原为氨(NH₃)是实现人工氮循环的一种可行方法。然而,NH₃产物的低产率和较差的选择性是一项技术挑战。在此,提出了一种基于石墨炔(GDY)的串联催化剂,其具有锚定在GDY载体上的Cu/CuO纳米颗粒(称为Cu/CuO/GDY),用于高效电催化NO₃⁻还原。使用所设计的催化剂,在相对于可逆氢电极(RHE)为 -0.8 V的外加电势下,实现了25.4 mg h⁻¹ mg⁻¹(25.4 mg h⁻¹ cm⁻²)的高NH₃产率以及99.8%的法拉第效率。这些性能指标优于碱性介质中大多数已报道的将NO₃⁻还原为NH₃的催化剂。电化学测量和密度泛函理论表明,NO₃⁻优先攻击Cu/CuO,而GDY可以有效地催化NO₃⁻还原为NH₃。这项工作突出了GDY作为一类新型人工氮循环串联催化剂的功效,并为串联电催化剂的设计提供了有力指导。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验