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Nano Research 2019, 12(9): 2318-2323 https://doi.org/10.1007/s12274-019-2339-2
Research Article | Issue | Published: 15 April 2019

Highly efficient and selective CO2 electro-reduction with atomic Fe-C-N hybrid coordination on porous carbon nematosphere

Show Author's Information Haixia Zhong1,§,  Fanlu Meng1,2,§,  Qi Zhang1,§,  Kaihua Liu1,2,  Xinbo Zhang1( )
State Key Laboratory of Rare Earth Resource UtilizationChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022China
Key Laboratory of Automobile MaterialsMinistry of Education and College of Materials Science and EngineeringJilin UniversityChangchun130012China

§ Haixia Zhong, Fanlu Meng and Qi Zhang contributed equally to this work.

Keywords:
electrocatalysis, carbon monoxide, carbon dioxide reduction, porous carbon, metal/nitrogen doping
Topics:
Carbon dioxideCatalyst activityDensity functional theoryElectrocatalysis ElectrocatalystsElectrolytesPore structure
Cite this article:
Zhong H, Meng F, Zhang Q, et al. Highly efficient and selective CO2 electro-reduction with atomic Fe-C-N hybrid coordination on porous carbon nematosphere. Nano Research, 2019, 12(9): 2318-2323. https://doi.org/10.1007/s12274-019-2339-2
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Abstract Full text Electronic supplementary material About this article

Carbon dioxide reduction (CO2RR) has become a promising way to address the energy and environmental crisis, of which the fundamental development of the optimal electrocatalysts is the crucial part. Herein, we develop Fe and N doping porous carbon nematosphere (FeNPCN) as an excellent CO2RR electrocatalyst in aqueous electrolyte. Featuring with the high conductivity, pore structure and abundant Fe and N doping, FeNPCN exhibits high catalytic activity with a high faradaic selectivity of CO (94%) and long-term durability. Moreover, the ratio of CO and H2 can be changed by the applied potential for the different syngas related industry. Density functional theory (DFT) calculation results also reveal that the excellent catalytic activity is likely attributed to C and N hybrid coordination with atomic Fe.


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About this article

Highly efficient and selective CO2 electro-reduction with atomic Fe-C-N hybrid coordination on porous carbon nematosphere

Show Author's information Haixia Zhong1,§, Fanlu Meng1,2,§, Qi Zhang1,§, Kaihua Liu1,2, Xinbo Zhang1( )
State Key Laboratory of Rare Earth Resource UtilizationChangchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022China
Key Laboratory of Automobile MaterialsMinistry of Education and College of Materials Science and EngineeringJilin UniversityChangchun130012China

§ Haixia Zhong, Fanlu Meng and Qi Zhang contributed equally to this work.

Abstract

Carbon dioxide reduction (CO2RR) has become a promising way to address the energy and environmental crisis, of which the fundamental development of the optimal electrocatalysts is the crucial part. Herein, we develop Fe and N doping porous carbon nematosphere (FeNPCN) as an excellent CO2RR electrocatalyst in aqueous electrolyte. Featuring with the high conductivity, pore structure and abundant Fe and N doping, FeNPCN exhibits high catalytic activity with a high faradaic selectivity of CO (94%) and long-term durability. Moreover, the ratio of CO and H2 can be changed by the applied potential for the different syngas related industry. Density functional theory (DFT) calculation results also reveal that the excellent catalytic activity is likely attributed to C and N hybrid coordination with atomic Fe.

Keywords: electrocatalysis, carbon monoxide, carbon dioxide reduction, porous carbon, metal/nitrogen doping

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Publication history
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Acknowledgements

Publication history

Received: 23 January 2019
Revised: 12 February 2019
Accepted: 13 February 2019
Published: 15 April 2019
Issue date: September 2019

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Acknowledgements

Acknowledgements

This work was financially supported the National Natural Science Foundation of China (Nos. 21725103, 51522101, 51471075, 51631004, 51472232, 51522202 and 21771013), and Program for JLU Science and Technology Innovative Research Team (No. 2017TD-09).

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