具有不同Lewis酸度水平的用于硝酸盐电还原的Cu-MOFs@H-取代石墨二炔杂化纳米阵列。
Hybrid nanoarrays of Cu-MOFs@H-substituted graphdiyne with various levels of Lewis acidity for nitrate electroreduction.
作者信息
Ma Jiahao, Wang Ru, Wang Biwen, Luo Jiaxin, Zhang Qiuyu, Zhuo Sifei
机构信息
Research & Development Institute of Northwestern Polytechnical University in Shenzhen, ShenZhen City, 518063, P. R. China.
School of Chemistry and Chemical Engineering, Xi'an Key Laboratory of Functional Organic Porous Materials, Northwestern Polytechnical University, Xi'an 710072, P. R. China.
出版信息
Chem Commun (Camb). 2023 Apr 6;59(29):4348-4351. doi: 10.1039/d2cc06989j.
To mimic enzymes in nature, a set of hybrid nanoarrays of Cu-MOFs sealed in hydrogen-substituted graphdiyne has been developed in order to serve as Lewis-acid-promoted catalysts. By regulating the electron-withdrawing capability of the ligands bridging Cu sites, these Cu-MOFs provided different levels of Lewis acidity toward nitrate affinity, a feature crucial for nitrate-to-ammonia conversion.
为了模拟自然界中的酶，人们开发了一组封装在氢取代石墨炔中的铜基金属有机框架（Cu-MOFs）杂化纳米阵列，用作路易斯酸促进催化剂。通过调节连接铜位点的配体的吸电子能力，这些Cu-MOFs对硝酸盐亲和力提供了不同程度的路易斯酸度，这是硝酸盐转化为氨的关键特性。
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