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Research Article

Probing self-optimization of carbon support in oxygen evolution reaction

Wenjie Xu1,§Dengfeng Cao1,§Oyawale Adetunji Moses2,§Beibei Sheng1Chuanqiang Wu3Hongwei Shou1,4Xiaojun Wu4Shuangming Chen1( )Li Song1
National Synchrotron Radiation Laboratory, CAS Center for Excellence in NanoscienceUniversity of Science and Technology of ChinaHefei230026China
Materials Interfaces Center, Shenzhen Institute of Advanced TechnologyChinese Academy of ScienceShenzhen440305China
Institutes of Physical Science and Information TechnologyAnhui UniversityHefei230601China
Department of Materials Sciences and Engineering, School of Chemistry and Materials SciencesUniversity of Science and Technology of ChinaHefei230026China

§ Wenjie Xu, Dengfeng Cao, and Oyawale Adetunji Moses contributed equally to this work.

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Abstract

Despite acknowledgment of structural reconstruction of materials following oxygen evolution reaction (OER) reaction, the role of support during the reconstruction process has been ignored. Given this, we directly in situ transform the residual iron present in raw single-walled carbon nanotubes (SWCNT) into Fe2O3 and thus build Fe2O3-CNT as the model system. Intriguingly, an anomalous self-optimization occurred on SWCNT and the derived components show satisfactory electrochemical performance. Soft X-ray absorption spectroscopy (sXAS) analysis and theory calculation correspondingly indicate that self-optimization yields stronger interaction between SWCNT and Fe2O3 nanoparticles, where the electrons migrate from Fe2O3 to optimized SWCNT. Such polarization will generate a positive charge center and thus boost the OER activity. This finding directly observes the self-optimization of support effect, providing a new perspective for OER and related electrochemical reactions.

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Nano Research
Pages 4534-4540

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Cite this article:
Xu W, Cao D, Moses OA, et al. Probing self-optimization of carbon support in oxygen evolution reaction. Nano Research, 2021, 14(12): 4534-4540. https://doi.org/10.1007/s12274-021-3368-1
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Received: 03 December 2020
Revised: 26 January 2021
Accepted: 27 January 2021
Published: 05 June 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021