Preparation and catalytic performance toward oxygen reduction reaction of a N, S codoped porous graphene-like -carbon-based electrocatalyst
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Preparation and catalytic performance toward oxygen reduction reaction of a N, S codoped porous graphene-like -carbon-based electrocatalyst
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 56, Issue 4, Pages: 84-90(2017)
作者机构:
1. 海南师范大学化学与化工学院,海南,海口,571158
2.
作者简介:
基金信息:
DOI:
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Published:2017,
Published Online:25 September 2017,
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LIU Xilong, JIANG Xiaowei, HAN Leiyun, et al. Preparation and catalytic performance toward oxygen reduction reaction of a N, S codoped porous graphene-like -carbon-based electrocatalyst. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 56(4):84-90(2017)
DOI:
LIU Xilong, JIANG Xiaowei, HAN Leiyun, et al. Preparation and catalytic performance toward oxygen reduction reaction of a N, S codoped porous graphene-like -carbon-based electrocatalyst. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 56(4):84-90(2017)DOI:
Preparation and catalytic performance toward oxygen reduction reaction of a N, S codoped porous graphene-like -carbon-based electrocatalyst
Low-cost and high performance electrocatalysts toward oxygen reduction reaction (ORR) is important for novel energy systems
such as proton exchange membrane fuel cells
direct methanol fuel cells
and etc. In this work
a N and S codoped porous grapheme-like catalyst was obtained using polyacrylonitrile and sulfur as precursors through a facile pyrolysis procedure. The catalyst exhibited excellent performance in alkaline medium
with a half-wave potential 32 mV more positive than that of commercial Pt/C catalyst. Beside excellent ORR performance
the catalyst also exhibited outstanding methanol tolerance
stability
as well as high catalytic efficiency. By studying the relationship among catalysts structures
compositions and its catalytic performance
we found that the unique compositions
morphologies and porous structures induced by sulfur addition should be the origin to the catalysts high ORR performance.