Suppr超能文献

钴酞菁催化的一氧化碳还原反应的原位扫描隧道显微镜研究

In Situ Scanning Tunneling Microscopy of Cobalt-Phthalocyanine-Catalyzed CO Reduction Reaction.

作者信息

Wang Xiang, Cai Zhen-Feng, Wang Yu-Qi, Feng Ya-Chen, Yan Hui-Juan, Wang Dong, Wan Li-Jun

机构信息

CAS Key Laboratory of Molecular Nanostructure and Nanotechnology, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing National Laboratory for Molecular Science (BNLMS), Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Angew Chem Int Ed Engl. 2020 Sep 7;59(37):16098-16103. doi: 10.1002/anie.202005242. Epub 2020 Jul 7.

Abstract

We report a molecular investigation of a cobalt phthalocyanine (CoPc)-catalyzed CO reduction reaction by electrochemical scanning tunneling microscopy (ECSTM). An ordered adlayer of CoPc was prepared on Au(111). Approximately 14 % of the adsorbed species appeared with high contrast in a CO -purged electrolyte environment. The ECSTM experiments indicate the proportion of high-contrast species correlated with the reduction of Co Pc (-0.2 V vs. saturated calomel electrode (SCE)). The high-contrast species is ascribed to the CoPc-CO complex, which is further confirmed by theoretical simulation. The sharp contrast change from CoPc-CO to CoPc is revealed by in situ ECSTM characterization of the reaction. Potential step experiments provide dynamic information for the initial stage of the reaction, which include the reduction of CoPc and the binding of CO , and the latter is the rate-limiting step. The rate constant of the formation and dissociation of CoPc-CO is estimated on the basis of the in situ ECSTM experiment.

摘要

我们通过电化学扫描隧道显微镜(ECSTM)报告了对钴酞菁(CoPc)催化的CO还原反应的分子研究。在Au(111)上制备了有序的CoPc吸附层。在CO吹扫的电解质环境中,约14%的吸附物种呈现出高对比度。ECSTM实验表明,高对比度物种的比例与CoPc的还原(相对于饱和甘汞电极(SCE)为-0.2 V)相关。高对比度物种归因于CoPc-CO络合物,这通过理论模拟得到了进一步证实。反应的原位ECSTM表征揭示了从CoPc-CO到CoPc的鲜明对比度变化。电位阶跃实验为反应的初始阶段提供了动态信息,包括CoPc的还原和CO的结合,后者是速率限制步骤。基于原位ECSTM实验估算了CoPc-CO形成和解离的速率常数。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验