Optimizing the Selectivity of CH <sub>4</sub> Electrosynthesis from CO <sub>2</sub> Over Cuprates Through Cu─O Bond Length Descriptor
Abstract
Abstract Precisely controlling the nature of Cu─O bond in Cu‐based oxide catalysts and understanding its correlation with CH 4 electrosynthesis (from CO 2 ) for selectivity optimization is a long‐standing challenge. Herein, taking a specific type of cuprates structured with CuO 4 square‐planar motifs as the platform, we report a selectivity descriptor of Cu─O bond length for screening highly selective catalysts toward CH 4 electrosynthesis. We establish the descriptor by systematic investigations of several proof‐of‐concept cuprates. Their Cu─O bond lengths are precisely controlled ranging from 1.944 to 1.970 Å and these bonds remain stable in CH 4 selectivity evaluation. Our investigations demonstrate that the CH 4 selectivity exhibits a volcano‐type dependence on the Cu─O bond length, and the optimized value is accessible at about 1.951 Å. This could be attributed to the optimal (neither too strong nor too weak) *CO adsorption created by the moderate Cu─O bond length, facilitating *CO hydrogenation. Furthermore, utilizing this descriptor, we predict three highly selective cuprates for CH 4 electrosynthesis, with superior selectivity that is near the top of the volcano plot. And importantly, in an acidic electrolyte (pH = 1), they outperform the reported catalysts, achieving CH 4 selectivity of up to 61.7% at 300 mA cm −2 .
Article Details
Authors (10)
Yunze Xu
State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy Qingdao New Energy Shandong Laboratory Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao 266101 China
Yu Zhang
Xiangya Hospital, Central South University Changsha China
Hongyan Zhao
Lei Shi
School of Health Management Guangzhou Medical University Guangzhou China
Zhenbao Zhang
School of Chemistry and Chemical Engineering Linyi University Linyi 276005 P.R. China
Xueyan Li
Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology of Ministry of Education, School of Chemistry, Beihang University, Beijing 100191, China
Zhen Xue
Heqing Jiang
State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology
Yongfa Zhu
Department of Chemistry
Jiawei Zhu
Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China