Published January 2019 | Version v1
Journal article

Carbon network framework derived iron-nitrogen co-doped carbon nanotubes for enhanced oxygen reduction reaction through metal salt-assisted polymer blowing strategy

  • 1. School of Chemistry and Chemical Engineering, Key Laboratory of Fuel Cell Technology of Guangdong Province, South China University of Technology, Guangzhou 510641, PR (China)
  • 2. China-Australia Joint Laboratory for Energy & Environmental Materials, South China University of Technology, Guangzhou 510641, PR (China)
  • 3. School of Materials Science and Engineering, Key Laboratory of Advanced Energy Storage Materials of Guangdong Province, South China University of Technology, Guangzhou 510641, PR (China)

Description

High cost and supply shortage greatly limit the actual application of platinum (Pt)-based catalysts in oxygen reduction reaction (ORR). This study reports a top-down strategy for fabrication of iron-nitrogen co-doped carbon nanotubes (Fe-N-CNTs-800) electrocatalyst through metal salt-assisted polymer (polyvinylpyrrolidone) in situ chemical blowing and following by pyrolysis strategy. Newly-designed Fe-N-CNTs-800 catalysts possessed large specific surface area, high nitrogen content, and excellent structural stability. Compared with commercially available platinum carbon (Pt/C) electrocatalysts, the Fe-N-CNTs-800 catalysts exhibited outstanding catalytic performance toward ORR in alkaline. The synergistic effect between iron-nitrogen doped and porous nanotubes structures results in the higher catalytic activity, remarkable resistance to methanol, and good stability for Fe-N-CNT-800 catalyst. This work has certain guiding significance for the future design of nanostructure engineering and the fabrication of highly efficient inexpensive catalysts to substitute of Pt-based electrocatalysts in ORR.

Additional details

Identifiers

DOI
10.1016/j.apsusc.2018.08.231;
PII
S0169433218323729;

Publishing Information

Journal Title
Applied Surface Science
Journal Volume
463
Journal Page Range
p. 767-774
ISSN
0169-4332
CODEN
ASUSEE

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.