Scalable synthesis of Cu clusters for remarkable selectivity control of intermediates in consecutive hydrogenation

Dawei Yao, Yue Wang, Ying Li, Antai Li, Ziheng Zhen, Jing Lv, Fanfei Sun, Ruoou Yang, Jun Luo, Zheng Jiang, Yong Wang () and Xinbin Ma ()
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Dawei Yao: Tianjin University
Yue Wang: Tianjin University
Ying Li: Tianjin University
Antai Li: Tianjin University
Ziheng Zhen: Tianjin University
Jing Lv: Tianjin University
Fanfei Sun: Chinese Academy of Sciences
Ruoou Yang: Chinese Academy of Sciences
Jun Luo: Tianjin University of Technology
Zheng Jiang: Chinese Academy of Sciences
Yong Wang: Washington State University
Xinbin Ma: Tianjin University

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: Abstract Subnanometric Cu clusters that contain only a small number of atoms exhibit unique and, often, unexpected catalytic behaviors compared with Cu nanoparticles and single atoms. However, due to the high mobility of Cu species, scalable synthesis of stable Cu clusters is still a major challenge. Herein, we report a facile and practical approach for scalable synthesis of stable supported Cu cluster catalysts. This method involves the atomic diffusion of Cu from the supported Cu nanoparticles to CeO2 at a low temperature of 200 °C to form stable Cu clusters with tailored sizes. Strikingly, these Cu clusters exhibit high yield of intermediate product (95%) in consecutive hydrogenation reactions due to their balanced adsorption of the intermediate product and dissociation of H2. The scalable synthesis strategy reported here makes the stable Cu cluster catalysts one step closer to practical semi-hydrogenation applications.

Date: 2023
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DOI: 10.1038/s41467-023-36640-8

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