Low-Crystallinity-Induced Lattice-Distorted Bismuth Nanosheets for Enhanced Electrocatalytic CO<sub>2</sub> Reduction to Formate
The electrochemical CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) to formate offers a sustainable route for carbon neutrality, yet achieving high activity and selectivity remains challenging. Herein, we report a crystallinity-mediated reconstruction strategy to engineer lattice compressive Bi nanosheets for efficient CO<sub>2</sub> electroreduction. Ex situ electrochemical reduction of BOC-L with low crystallinity rapidly forms lattice-distorted Bi nanosheets (Bi NS-L), while BOC-H with high crystallinity undergoes slower reconstruction, yielding ordered Bi nanosheets (Bi NS-H). The compressive strain enhances the CO<sub>2</sub> adsorption and improves the intrinsic activity of Bi nanosheets. Consequently, Bi NS-L achieves a formate Faradaic efficiency of 94.8% at -1.08 V vs RHE, surpassing Bi NS-H (89.1%), with a partial current density of 247.49 mA cm<sup>-2</sup> in a flow cell. Moreover, coupling the CO<sub>2</sub>RR with anodic glycerol oxidation (GOR) reduces the cell voltage to 2.3 V (2.5 V for the CO<sub>2</sub>RR/OER) at 200 mA cm<sup>-2</sup>, enabling 3965.6 μmol h<sup>-1</sup> cm<sup>-2</sup> formate production.
Authors
- Huixin Yan (ORCID: https://orcid.org/0000-0002-3911-6903)
- Xinkui Wang (ORCID: https://orcid.org/0000-0002-1107-5118)
- Min Ji (ORCID: https://orcid.org/0000-0002-0971-550X)
- Min Wang (ORCID: https://orcid.org/0000-0002-9072-8331)
- Xinxin Zhang (ORCID: https://orcid.org/0000-0002-2767-8570)
- Yihao Zhang (ORCID: https://orcid.org/0000-0002-1581-5937)
- Xiaoyu Liang (ORCID: https://orcid.org/0000-0002-8901-9239)
- Xingyan Wang
Institutions
- Dalian University of Technology (CN)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1021/acs.nanolett.5c02163
- Citations
- 9
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 3.27
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Liaoning Province