Nearly 100% CO Selectivity for CO<sub>2</sub> Reduction via Synergistic Engineering of Heteronuclear CuCo Dual Atoms

Monatomic catalysts demonstrate exceptional activity in CO<sub>2</sub> hydrogenation for mitigating the greenhouse effect and achieving carbon neutrality goals. However, single-atom catalysts are limited by having only one type of active site, resulting in unsatisfactory activity and selectivity. In this work, a heteronuclear dual-atom catalyst (CuCo<sub>DA</sub>) is successfully synthesized using a dual-anchoring method and applied to CO<sub>2</sub> hydrogenation. The synergistic effect between Cu and Co atoms results in a remarkable CO selectivity of 99.1%, with a CO<sub>2</sub> conversion rate of 28.1%. The experimental results and theoretical calculations demonstrate that the incorporation of Co into the Cu monatomic catalyst enhances the adsorption of CO<sub>2</sub> and H<sub>2</sub> on the CuCo<sub>DA</sub> surface throughout the reaction, thereby significantly promoting CO<sub>2</sub> conversion. Simultaneously, the cooperative effect minimizes the adsorption of CO* on the CuCo<sub>DA</sub> surface and inhibits the formation of *CHO (a key intermediate for methane generation), which suppresses the further hydrogenation of CO<sub>2</sub>. This results in an extremely high selectivity of CO. This study provides a general strategy for constructing dual-heteronuclear catalysts incorporating multiple metal species and highlights the critical importance of synergistic interactions between adjacent single atoms in the development of advanced catalysts.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-04-03
DOI
https://doi.org/10.1021/acsami.5c02017
Citations
3
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
1.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nearly 100% CO Selectivity for CO2 Reduction via Synergistic Engineering of Heteronuclear CuCo Dual Atoms

Chengcheng Tian, Songzhi Xie, Yongjun Jiang, Wen Zhu et al.
3 citations
ACS Applied Materials & Interfaces
CO2 Reduction Techniques and Catalysts
1.09
article

Nearly 100% CO Selectivity for CO2 Reduction via Synergistic Engineering of Heteronuclear CuCo Dual Atoms

Chengcheng Tian, Songzhi Xie, Yongjun Jiang, Wen Zhu, Sheng Dai, Xin An, Xiaoxiao Zhu, Wenhui Ling, Cong Yuan, Hualin Wang, Bo Yang, Zhengcheng Wang, Yubo Ye
article en
3 citations

Abstract

Monatomic catalysts demonstrate exceptional activity in CO<sub>2</sub> hydrogenation for mitigating the greenhouse effect and achieving carbon neutrality goals. However, single-atom catalysts are limited by having only one type of active site, resulting in unsatisfactory activity and selectivity. In this work, a heteronuclear dual-atom catalyst (CuCo<sub>DA</sub>) is successfully synthesized using a dual-anchoring method and applied to CO<sub>2</sub> hydrogenation. The synergistic effect between Cu and Co atoms results in a remarkable CO selectivity of 99.1%, with a CO<sub>2</sub> conversion rate of 28.1%. The experimental results and theoretical calculations demonstrate that the incorporation of Co into the Cu monatomic catalyst enhances the adsorption of CO<sub>2</sub> and H<sub>2</sub> on the CuCo<sub>DA</sub> surface throughout the reaction, thereby significantly promoting CO<sub>2</sub> conversion. Simultaneously, the cooperative effect minimizes the adsorption of CO* on the CuCo<sub>DA</sub> surface and inhibits the formation of *CHO (a key intermediate for methane generation), which suppresses the further hydrogenation of CO<sub>2</sub>. This results in an extremely high selectivity of CO. This study provides a general strategy for constructing dual-heteronuclear catalysts incorporating multiple metal species and highlights the critical importance of synergistic interactions between adjacent single atoms in the development of advanced catalysts.

ACS Applied Materials & InterfacesVol. 17(17)
East China University of Science and Technology (CN), ShanghaiTech University (CN), Shanghai Institute of Pollution Control and Ecological Security
National Natural Science Foundation of China, Shanghai Municipal Education Commission, Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 25%
CO2 Reduction Techniques and Catalysts
1.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.