Edge‐Rich Graphene Nanomesh Thermally Self‐Exfoliated From Metal‐Organic Frameworks for Boosting CO <sub>2</sub> Electroreduction

Abstract Atomic‐level metal sites at the edges of graphene‐like carbon supports are considered more active for CO 2 electrocatalysis than those in‐plane. However, creating high‐density edge‐dominating metal sites, particularly in a simple, scalable, and self‐templated fashion, presents a significant challenge. Herein, a MOF‐mediated self‐exfoliation strategy is reported to preferentially integrate edge‐type FeN 4 sites onto the ultrathin edge‐rich N‐doped graphene nanomesh (e‐Fe‐NGM). Theoretical calculations, finite element method (FEM) simulations, together with a series of in situ spectro‐electrochemical experiments corroborate that the edge‐dominating FeN 4 sites can not only optimize the electronic structure of catalysts, facilitating the formation of * COOH and desorption of * CO, but also effectively induce a strong local electrostatic field, promoting the interfacial H 2 O supply and thereby accelerating the protonation process of CO 2 . Thus‐prepared e‐Fe‐NGM delivers a remarkable CO Faraday efficiency (FE) of above 98% over an ultra‐wide potential window of 500 mV and a high turnover frequency of 6648 h −1 , much superior to that of the controlled sample with dominant plane‐type sites. Moreover, this self‐exfoliated, non‐catalyzed approach is readily scalable and can be used to produce large‐size edge‐rich graphene nanomesh at industrial levels.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-05-15
DOI
https://doi.org/10.1002/adfm.202509429
Citations
3
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
1.09

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article

Edge‐Rich Graphene Nanomesh Thermally Self‐Exfoliated From Metal‐Organic Frameworks for Boosting CO 2 Electroreduction

Yunhui Xie, Chun‐Chao Hou, Jing Xia, Yong Peng et al.
3 citations
Advanced Functional Materials
CO2 Reduction Techniques and Catalysts
1.09
article

Edge‐Rich Graphene Nanomesh Thermally Self‐Exfoliated From Metal‐Organic Frameworks for Boosting CO 2 Electroreduction

Yunhui Xie, Chun‐Chao Hou, Jing Xia, Yong Peng, Xiaoxiao Dong, Qiang Xu, Ruqiang Zou, Chi Zhang, Fulai Liu, Mingxu Liu, Han Wang
article en
3 citations

Abstract

Abstract Atomic‐level metal sites at the edges of graphene‐like carbon supports are considered more active for CO 2 electrocatalysis than those in‐plane. However, creating high‐density edge‐dominating metal sites, particularly in a simple, scalable, and self‐templated fashion, presents a significant challenge. Herein, a MOF‐mediated self‐exfoliation strategy is reported to preferentially integrate edge‐type FeN 4 sites onto the ultrathin edge‐rich N‐doped graphene nanomesh (e‐Fe‐NGM). Theoretical calculations, finite element method (FEM) simulations, together with a series of in situ spectro‐electrochemical experiments corroborate that the edge‐dominating FeN 4 sites can not only optimize the electronic structure of catalysts, facilitating the formation of * COOH and desorption of * CO, but also effectively induce a strong local electrostatic field, promoting the interfacial H 2 O supply and thereby accelerating the protonation process of CO 2 . Thus‐prepared e‐Fe‐NGM delivers a remarkable CO Faraday efficiency (FE) of above 98% over an ultra‐wide potential window of 500 mV and a high turnover frequency of 6648 h −1 , much superior to that of the controlled sample with dominant plane‐type sites. Moreover, this self‐exfoliated, non‐catalyzed approach is readily scalable and can be used to produce large‐size edge‐rich graphene nanomesh at industrial levels.

Advanced Functional MaterialsVol. 35(44)
Chinese Academy of Sciences (CN), Peking University (CN), Southern University of Science and Technology (CN), Leibniz Institute for Catalysis (DE), Technical Institute of Physics and Chemistry (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 24%
CO2 Reduction Techniques and Catalysts
1.09
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