Min Zhu, Ting Zhang, Jinlong Wu, Xiuli Wang, Jin Zhang, Feng Li, Jing Li
{"title":"Efficient Electrochemical CO2 Conversion to CO via Cu-Doped Induced Lattice Compression in Ag Nanosheets","authors":"Min Zhu, Ting Zhang, Jinlong Wu, Xiuli Wang, Jin Zhang, Feng Li, Jing Li","doi":"10.1002/smll.202412550","DOIUrl":null,"url":null,"abstract":"<p>Lattice strain is widely recognized as an effective strategy for tuning transition metal catalytic activity, yet its direct impact on electrochemical CO₂ reduction (ECO₂RR) remains not fully understood. In this work, a strategy of Cu-doped Ag is employed to construct a series of AgCu nanosheet structures (NS) with varying lattice compression rates (from −1.90% to −2.75%). Density Functional Theory (DFT) calculations, along with in situ infrared spectroscopic analysis, demonstrate that Cu incorporation efficiently modulates the electronic structure of Ag, promoting enhanced charge transfer. Especially, the changed lattice compression rates can alter the charge density at adsorption sites, thereby ameliorating the surface coverage of CO and adsorption energy of the reaction intermediates (<sup>*</sup>COOH and <sup>*</sup>CO). As a result, the AgCu<sub>5%</sub> catalyst exhibits a maximum Faradaic efficiency (FE) of 95.5% for CO production in an H-cell and 98% in a flow cell at −0.8 V<sub>RHE</sub>, respectively. Simultaneously, the AgCu<sub>5%</sub> catalyst achieves FE<sub>CO</sub> of above 86% in the ultrawide current range of 33–215 mA cm<sup>−2</sup>. The work affords an effective way to use a strain compression strategy to improve the CO<sub>2</sub> reduction performance.</p>","PeriodicalId":228,"journal":{"name":"Small","volume":"21 17","pages":""},"PeriodicalIF":11.8000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/smll.202412550","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Lattice strain is widely recognized as an effective strategy for tuning transition metal catalytic activity, yet its direct impact on electrochemical CO₂ reduction (ECO₂RR) remains not fully understood. In this work, a strategy of Cu-doped Ag is employed to construct a series of AgCu nanosheet structures (NS) with varying lattice compression rates (from −1.90% to −2.75%). Density Functional Theory (DFT) calculations, along with in situ infrared spectroscopic analysis, demonstrate that Cu incorporation efficiently modulates the electronic structure of Ag, promoting enhanced charge transfer. Especially, the changed lattice compression rates can alter the charge density at adsorption sites, thereby ameliorating the surface coverage of CO and adsorption energy of the reaction intermediates (*COOH and *CO). As a result, the AgCu5% catalyst exhibits a maximum Faradaic efficiency (FE) of 95.5% for CO production in an H-cell and 98% in a flow cell at −0.8 VRHE, respectively. Simultaneously, the AgCu5% catalyst achieves FECO of above 86% in the ultrawide current range of 33–215 mA cm−2. The work affords an effective way to use a strain compression strategy to improve the CO2 reduction performance.
期刊介绍:
Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments.
With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology.
Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.