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Issue 62, 2017
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A new 3D crosslinked polymer strategy for highly efficient oxygen reduction Fe–Nx/C catalysts

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Abstract

The development of non-precious metal (NPM) catalysts with superior performance to replace Pt/C is critical for the wide application of proton-exchange membrane fuel cells. In this work, a three-dimensional crosslinked polymer with highly dispersed iron–nitrogen (Fe–N) coordination units and a mechanically robust framework is designed, synthesized and used as the sole precursor to obtain Fe-coordinated nitrogen-doped carbon (Fe–Nx/C) oxygen reduction reaction (ORR) catalysts. After optimization of the pyrolysis conditions and the use of SiO2 templates to modify the catalyst nanostructure, a highly active catalyst of T-FeNC-800R is obtained, which exhibits a high half-wave potential of 751 mV in 0.1 M HClO4. Besides, the T-FeNC-800R catalyst has an excellent ORR activity with onset and half-wave potentials of 1030 and 873 mV in 0.1 M KOH, respectively, which are higher than those of Pt/C (onset and half-wave potentials are 1009 and 855 mV vs. RHE, respectively). Moreover, this catalyst exhibits an almost four electron transfer process, high long-term stability, and better methanol tolerance than Pt/C catalyst in acidic media. The excellent oxygen reduction reaction performance of T-FeNC-800R can be attributed to the mesoporous structure, high specific surface area and a large number of exposed active sites. Moreover, the effects of the SiO2 template, secondary pyrolysis and iron element on the catalytic performance are systematically discussed.

Graphical abstract: A new 3D crosslinked polymer strategy for highly efficient oxygen reduction Fe–Nx/C catalysts

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Publication details

The article was received on 07 Jun 2017, accepted on 03 Aug 2017 and first published on 10 Aug 2017


Article type: Paper
DOI: 10.1039/C7RA06352K
Citation: RSC Adv., 2017,7, 39178-39184
  • Open access: Creative Commons BY license
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    A new 3D crosslinked polymer strategy for highly efficient oxygen reduction Fe–Nx/C catalysts

    Z. Shao, L. Tong, Y. Qian, R. Dun and W. Li, RSC Adv., 2017, 7, 39178
    DOI: 10.1039/C7RA06352K

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