Structural steering of bismuth chalcogenides to oriented bismuth catalysts for efficient CO2 reduction

Abstract

The electrochemical structural reconstruction of precatalysts opens up a promising avenue for the emergence of highly active phases in the carbon dioxide reduction reaction. However, steering this dynamic process toward specific crystalline facets remains a significant challenge. Herein, we demonstrate a precursor-mediated structural steering strategy using bismuth chalcogenide nanosheets as precatalysts. Despite similar macroscopic morphologies, the intrinsic lattice memory of the precatalyst dictates divergent reconstruction pathways. The layered rhombohedral Bi2Se3 template facilitates the formation of highly {00l}-oriented metallic Bi nanograins, while the orthorhombic ribbon-like Bi2S3 yields randomized polycrystalline Bi. Coaxial transmission Kikuchi diffraction, along with in situ spectroscopy, confirms that the {00l}-textured Bi(Se) surface stabilizes Bi with a unique, ordered lattice oxygen coordination environment. Mechanistic studies reveal that Bi coordinating with lattice O sites on the {00l} facets effectively suppresses the competitive hydrogen evolution while lowering the energetics for *OCHO formation, thereby achieving a peak faradaic efficiency of 95% for formate production. Shifting from the view of reconstruction as a chaotic event, this strategy provides a predictable relationship between precatalysts and their active states, which can be extended to the rational design of other metallic catalyst systems.

Graphical abstract: Structural steering of bismuth chalcogenides to oriented bismuth catalysts for efficient CO2 reduction

Supplementary files

Article information

Article type
Paper
Submitted
12 Feb 2026
Accepted
11 Apr 2026
First published
29 Apr 2026

Catal. Sci. Technol., 2026, Advance Article

Structural steering of bismuth chalcogenides to oriented bismuth catalysts for efficient CO2 reduction

Y. Xia, J. Liu, G. Wu, Y. Shi, D. Dong, J. Liu, C. Wang, D. Feng, Y. Su and H. Lin, Catal. Sci. Technol., 2026, Advance Article , DOI: 10.1039/D6CY00175K

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