详细信息

Highly active Fe, N co-doped graphene nanoribbon/carbon nanotube composite catalyst for oxygen reduction reaction  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Highly active Fe, N co-doped graphene nanoribbon/carbon nanotube composite catalyst for oxygen reduction reaction

作者:Chen, Chi[1,2];Zhang, Xue[2];Zhou, Zhi-You[2];Yang, Xiao-Dong[2];Zhang, Xin-Sheng[1];Sun, Shi-Gang[2]

机构:[1]East China Univ Sci & Technol, Coll Chem Engn, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[2]Xiamen Univ, Coll Chem & Chem Engn, Collaborat Innovat Ctr Chem Energy Mat, State Key Lab Phys Chem Solid Surfaces, Xiamen 361005, Peoples R China

年份:2016

卷号:222

起止页码:1922

外文期刊名:ELECTROCHIMICA ACTA

收录:;EI(收录号:20171003426501);WOS:【SCI-EXPANDED(收录号:WOS:000395443700109)】;

基金:This work was supported by the National Basic Research Program of China (2015CB932303), Natural Science Foundation of China (21373175 and 21361140374), and Fundamental Research Funds for the Central Universities (20720150109).

语种:英文

外文关键词:Oxygen reduction reaction; Fe/N/C catalyst; graphene; edge defect; electrocatalysis

摘要:The exploration of non-precious metal electrocatalyst with high performance for oxygen reduction reaction (ORR) is vital for widespread application of fuel cells. In this study, we presented a rational designed Fe, N-doped graphene nanoribbon/carbon nanotube composite (FeN-uCNT) based on partial longitudinally unzipped MWCNTs with abundant edge defects as a highly active catalyst for ORR. The obtained FeN-uCNT exhibited excellent ORR performance and methanol resistance in alkaline medium. And its mass activity at 1.0 V (RHE) can reach up to 1.36 A g(-1), equal to that of commercial Pt/C. The ORR current retained 81% after 30,000 s durability test at 0.9 V. The superiority of graphene carbon defects for improving heteroatom doping level was verified, leading to the increase in the density of active sites and high ORR activity. These results demonstrated the FeN-uCNT a promising candidate for ORR catalyst in fuel cells. (C) 2016 Elsevier Ltd. All rights reserved.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心