Suppr超能文献

以锰和铁为电催化剂的双金属掺杂RuO用于良好的析氧反应性能

Bimetallic Doped RuO with Manganese and Iron as Electrocatalysts for Favorable Oxygen Evolution Reaction Performance.

作者信息

Wu Yiyi, Tariq Muhammad, Zaman Waqas Qamar, Sun Wei, Zhou Zhenhua, Yang Ji

机构信息

State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Processes, School of Resources and Environmental Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China.

Institute of Environmental Science and Engineering, School of Civil and Environmental Engineering, National University of Sciences and Technology (NUST), Sector H-12, Islamabad 44000, Pakistan.

出版信息

ACS Omega. 2020 Mar 25;5(13):7342-7347. doi: 10.1021/acsomega.9b04237. eCollection 2020 Apr 7.

Abstract

Synthesizing oxygen evolution reaction (OER) catalysts with enhanced activity by codoping has been proven to be a feasible approach for the efficient use of noble metals via renewing their basic intrinsic properties. In continuation of the research in codoping, we prepare a ruthenium-based bimetallic doped catalyst Mn Fe Ru O with an outstanding OER activity as compared to pure RuO, one of the state-of-the-art OER catalysts. The synthesized codoped RuO with a Mn/Fe molar ratio of 1 reflected a Tafel slope of only 41 mV dec, which is appreciably lower than 64 mV dec for pure RuO. The X-ray photoelectron spectroscopy (XPS) performed reveals that oxygen vacancy and manganese valency are the key factors of the OER activity for codoped catalysts.

摘要

通过共掺杂合成具有增强活性的析氧反应(OER)催化剂已被证明是一种通过更新贵金属的基本固有特性来有效利用贵金属的可行方法。作为共掺杂研究的延续,我们制备了一种钌基双金属掺杂催化剂Mn Fe Ru O,与最先进的OER催化剂之一纯RuO相比,它具有出色的OER活性。合成的Mn/Fe摩尔比为1的共掺杂RuO的塔菲尔斜率仅为41 mV dec,明显低于纯RuO的64 mV dec。所进行的X射线光电子能谱(XPS)表明,氧空位和锰价态是共掺杂催化剂OER活性的关键因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cd/7144150/002c11a46bf4/ao9b04237_0001.jpg

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