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Stabilizing Cu2+ Ions by Solid Solutions to Promote COElectroreduction to Methane

  • Xianlong Zhou
  • , Jieqiong Shan
  • , Ling Chen
  • , Bao Yu Xia
  • , Tao Ling
  • , Jingjing Duan
  • , Yan Jiao
  • , Yao Zheng*
  • , Shi-Zhang Qiao*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Copper is the only metal catalyst that can perform the electrocatalytic CO2 reduction reaction (CRR) to produce hydrocarbons and oxygenates. Its surface oxidation state determines the reaction pathway to various products. However, under the cathodic potential of CRR conditions, the chemical composition of most Cu-based catalysts inevitably undergoes electroreduction from Cu2+ to Cu0 or Cu1+ species, which is generally coupled with phase reconstruction and the formation of new active sites. Since the initial Cu2+ active sites are hard to retain, there have been few studies about Cu2+ catalysts for CRR. Herein we propose a solid-solution strategy to stabilize Cu2+ ions by incorporating them into a CeO2 matrix, which works as a self-sacrificing ingredient to protect Cu2+ active species. In situ spectroscopic characterization and density functional theory calculations reveal that compared with the conventionally derived Cu catalysts with Cu0 or Cu1+ active sites, the Cu2+ species in the solid solution (Cu-Ce-Ox) can significantly strengthen adsorption of the *CO intermediate, facilitating its further hydrogenation to produce CH4 instead of dimerization to give C2 products. As a result, different from most of the other Cu-based catalysts, Cu-Ce-Ox delivered a high Faradaic efficiency of 67.8% for CH4 and a low value of 3.6% for C2H4. © 2022 American Chemical Society.
Original languageEnglish
Pages (from-to)2079-2084
JournalJournal of the American Chemical Society
Volume144
Issue number5
Online published28 Jan 2022
DOIs
Publication statusPublished - 9 Feb 2022
Externally publishedYes

Funding

This work was financially supported by the Australian Research Council through Discovery Project Programs (FL170100154, FT200100062, and DP190103472). X.Z. acknowledges support from the Australian Government through Research Training Program Scholarships. The authors also gratefully acknowledge the staff at beamline 1W2B at the Beijing Synchrotron Radiation Facility (BSRF), China. DFT computations for this work were performed using supercomputing resources provided by the Phoenix HPC service at the University of Adelaide and the National Computational Infrastructure (NCI).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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