New insights into influences of initial oxidization states on dynamic reconstruction of Cu catalysts and C–C coupling in CO2 reduction

Abstract

Cu-based catalysts hold enormous potential for electrocatalytic CO2 reduction toward value-added C2+ products, and surface reconstruction commonly happens under operating CO2 reduction conditions. Understanding Cu reconstruction is thus of utmost importance as it directly affects surface sites and catalytic pathways. Here, we report on how the initial oxidization states of Cu catalysts influence their in situ dynamic reconstruction and crucial factors determining C–C coupling through comprehensive ex situ/in situ microscopic and spectroscopic methods. We demonstrate that the spontaneous oxidization/reduction of the Cu surface occurs during CO2 reduction, resulting in the dynamic formation of CuOx species. Compared to metallic Cu, Cu oxides leave more oxygen residues on the Cu surface due to the mild electrochemical reduction process. Such a situation leads to a longer time required to reach the steady-state oxidization/reduction of CuOx species and less concentration of CuOx on the oxide-derived Cu surface than the metallic one. Moreover, we reveal that the in situ formed CuOx species play a more significant role in promoting C–C coupling than commonly recognized factors, such as surface oxygen residues, local pH, and CO coverage. This work provides insights into mechanisms of metal surface reconstruction and motivates the design of advanced catalysts in electrocatalysis.

Graphical abstract: New insights into influences of initial oxidization states on dynamic reconstruction of Cu catalysts and C–C coupling in CO2 reduction

Supplementary files

Article information

Article type
Paper
Submitted
23 Jun 2024
Accepted
25 Aug 2024
First published
03 Sep 2024

Catal. Sci. Technol., 2024, Advance Article

New insights into influences of initial oxidization states on dynamic reconstruction of Cu catalysts and C–C coupling in CO2 reduction

C. Qin, X. Li, H. Li, T. Wang, X. Zhang, Y. Wang, F. Pan and K. Chen, Catal. Sci. Technol., 2024, Advance Article , DOI: 10.1039/D4CY00781F

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