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author:

Liyun Wu (Liyun Wu.) [1] | Qilong Wu (Qilong Wu.) [2] | Yun Han (Yun Han.) [3] | Dongdong Zhang (Dongdong Zhang.) [4] | Rongrong Zhang (Rongrong Zhang.) [5] | Nan Song (Nan Song.) [6] | Xiaofeng Wu (Xiaofeng Wu.) [7] | Jianrong Zeng (Jianrong Zeng.) [8] | Pei Yuan (Pei Yuan.) [9] | Jun Chen (Jun Chen.) [10] | Aijun Du (Aijun Du.) [11] | KeKe Huang (KeKe Huang.) [12] | Xiangdong Yao (Xiangdong Yao.) [13]

Abstract:

Defect‐engineered bimetallic oxides exhibit high potential for the electrolysis of small organic molecules. However, the ambiguity in the relationship between the defect density and electrocatalytic performance makes it challenging to control the final products of multi‐step multi‐electron reactions in such electrocatalytic systems. In this study, controllable kinetics reduction is used to maximize the oxygen vacancy density of a Cu─Co oxide nanosheet (CuCo2O4 NS), which is used to catalyze the glycerol electrooxidation reaction (GOR). The CuCo2O4−x NS with the highest oxygen‐vacancy density (CuCo2O4−x‐2) oxidizes C3 molecules to C1 molecules with selectivity of almost 100% and a Faradaic efficiency of ≈99%, showing the best oxidation performance among all the modified catalysts. Systems with multiple oxygen vacancies in close proximity to each other synergistically facilitate the cleavage of C─C bonds. Density functional theory calculations confirm the ability of closely spaced oxygen vacancies to facilitate charge transfer between the catalyst and several key glycolic‐acid (GCA) intermediates of the GOR process, thereby facilitating the decomposition of C2 intermediates to C1 molecules. This study reveals qualitatively in tuning the density of oxygen vacancies for altering the reaction pathway of GOR by the synergistic effects of spatial proximity of high‐density oxygen vacancies.

Keyword:

defect density glycerol oxidation reaction nitrobenzene reduction reaction oxygen vacancy synergistic effect

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Advanced Materials

ISSN: 0935-9648

Year: 2024

Issue: 26

Volume: 36

Page: n/a-n/a

2 7 . 4 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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