Efficient Electrocatalytic CO<sub>2</sub> Reduction to Formate via Continuous Microfluidic Synthesis of Bi<sub>2</sub>O<sub>3</sub>/MXene‐Based Composite Catalysts with Tunable Metal Oxide Interfaces

Abstract The large‐scale applications of electrocatalytic CO 2 reduction face numerous challenges, including suppressed HER, high catalyst costs, limited production scalability, and complex synthesis processes. Combining carbon materials with bismuth‐based catalysts is an effective strategy to enhance catalytic activity at low cost. This study utilized microfluidic technology to achieve mass aggregations of Bi 2 O 3 nanoparticles with specific surfaces and controllable size on 2D Mxene using 2, 5‐FDCA as a ligand. The In‐depth understanding of theoretical simulations indicates the MXene substrate significantly improved the catalyst's electrochemical surface area and electron transport efficiency, facilitating electrolyte penetration and reactant diffusion. While Bi 2 O 3 support provided abundant active sites for reactions. Beyond, the composite M‐Bi 2 O 3 /MXene‐400 effectively suppress HER through synergistic effects. The interaction between Bi 2 O 3 and substrate is greatly increased to stabilize the M‐Bi 2 O 3 /MXene‐400 structure under work. In a membrane electrode assembly (MEA), it operate continuously for 60 h at a cell potential of −2.8 V, achieving a current density of −300 mA cm −2 and an average Faradaic efficiency for formate exceeding 90%. This work offers new strategies for the efficient design and controllable construction of MXene‐supported nanoparticle catalysts and mass production via microfluidic technology.

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Publication Details

Journal
Advanced Energy Materials
Published
2025-05-28
DOI
https://doi.org/10.1002/aenm.202501761
Citations
10
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
3.63

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article

Efficient Electrocatalytic CO2 Reduction to Formate via Continuous Microfluidic Synthesis of Bi2O3/MXene‐Based Composite Catalysts with Tunable Metal Oxide Interfaces

Shengjie Hao, Hongsheng Liu, Meiyu Cong, Yan Gao et al.
10 citations
Advanced Energy Materials
CO2 Reduction Techniques and Catalysts
3.63
article

Efficient Electrocatalytic CO2 Reduction to Formate via Continuous Microfluidic Synthesis of Bi2O3/MXene‐Based Composite Catalysts with Tunable Metal Oxide Interfaces

Shengjie Hao, Hongsheng Liu, Meiyu Cong, Yan Gao, Yu Wei, Junfeng Gao, Yuan Chang, Zhenze Han
article en
10 citations

Abstract

Abstract The large‐scale applications of electrocatalytic CO 2 reduction face numerous challenges, including suppressed HER, high catalyst costs, limited production scalability, and complex synthesis processes. Combining carbon materials with bismuth‐based catalysts is an effective strategy to enhance catalytic activity at low cost. This study utilized microfluidic technology to achieve mass aggregations of Bi 2 O 3 nanoparticles with specific surfaces and controllable size on 2D Mxene using 2, 5‐FDCA as a ligand. The In‐depth understanding of theoretical simulations indicates the MXene substrate significantly improved the catalyst's electrochemical surface area and electron transport efficiency, facilitating electrolyte penetration and reactant diffusion. While Bi 2 O 3 support provided abundant active sites for reactions. Beyond, the composite M‐Bi 2 O 3 /MXene‐400 effectively suppress HER through synergistic effects. The interaction between Bi 2 O 3 and substrate is greatly increased to stabilize the M‐Bi 2 O 3 /MXene‐400 structure under work. In a membrane electrode assembly (MEA), it operate continuously for 60 h at a cell potential of −2.8 V, achieving a current density of −300 mA cm −2 and an average Faradaic efficiency for formate exceeding 90%. This work offers new strategies for the efficient design and controllable construction of MXene‐supported nanoparticle catalysts and mass production via microfluidic technology.

Advanced Energy MaterialsVol. 15(32)
Shihezi University (CN), Dalian University of Technology (CN), Dalian University (CN), Suzhou Research Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
CO2 Reduction Techniques and Catalysts
3.63
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