Please use this identifier to cite or link to this item: https://doi.org/10.1002/anie.202102570
Title: The electrophilicity of surface carbon species in the redox of CuO-CeO2 catalysts.
Authors: Kang, Liqun
Wang, Bolun
Güntner, Andreas T
Xu, Siyuan
Wan, Xuhao
Liu, Yiyun
Marlow, Sushila
Ren, Yifei
Gianolio, Diego
Tang, Chiu C
Murzin, Vadim
Asakura, Hiroyuki
He, Qian 
Guan, Shaoliang
Velasco-Vélez, Juan J
Pratsinis, Sotiris E
Guo, Yuzheng
Wang, Feng Ryan
Keywords: CO oxidation
EMSI
copper-ceria
electrophilicity
surface carbon
Issue Date: 17-Mar-2021
Publisher: Wiley
Citation: Kang, Liqun, Wang, Bolun, Güntner, Andreas T, Xu, Siyuan, Wan, Xuhao, Liu, Yiyun, Marlow, Sushila, Ren, Yifei, Gianolio, Diego, Tang, Chiu C, Murzin, Vadim, Asakura, Hiroyuki, He, Qian, Guan, Shaoliang, Velasco-Vélez, Juan J, Pratsinis, Sotiris E, Guo, Yuzheng, Wang, Feng Ryan (2021-03-17). The electrophilicity of surface carbon species in the redox of CuO-CeO2 catalysts.. Angewandte Chemie International Edition. ScholarBank@NUS Repository. https://doi.org/10.1002/anie.202102570
Abstract: Electronic metal-support interaction (EMSI) describes the electron flow between metal sites and a metal oxide support. It is generally used to follow the mechanism of redox reactions. In the study of CuO-CeO2 redox, an additional flow of electron from metallic Cu to surface carbon species is observed via a combination of operando X-ray absorption spectroscopy, synchrotron X-ray powder diffraction, near ambient pressure-near edge X-ray absorption fine structure, and diffuse reflectance infrared Fourier transform spectroscopy. An electronic metal-support-carbon interaction (EMSCI) is proposed to explain the reaction pathway of CO oxidation. The EMSCI provides a complete picture of the mass and electron flow, which will help predict and improve the catalytic performance in the selective activation of CO2 , carbonate or carbonyl species in C1 chemistry.
Source Title: Angewandte Chemie International Edition
URI: https://scholarbank.nus.edu.sg/handle/10635/187680
ISSN: 14337851
15213773
DOI: 10.1002/anie.202102570
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