4.8 Article

Hemoglobin-derived Fe-Nx-S species supported by bamboo-shaped carbon nanotubes as efficient electrocatalysts for the oxygen evolution reaction

期刊

CARBON
卷 168, 期 -, 页码 588-596

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2020.06.064

关键词

Single-atom catalysts; Sulfur doping; Fe-N-x; Oxygen evolution reaction; Carbon nanotubes

资金

  1. National Natural Science Foundation of China [21706081]
  2. 111 Project [B17018]
  3. Diamond Light Source [MG23723, sp17198]
  4. Daphne Jackson Trust
  5. Royal Academy of Engineering
  6. University of Nottingham
  7. EPSRC [EP/P020232/1, EP/R029431/1]
  8. Beacons of Excellence: Propulsion Futures
  9. EPSRC [EP/R029431/1, EP/P020232/1] Funding Source: UKRI

向作者/读者索取更多资源

Herein, we report a facile route to synthesize isolated single iron atoms on nitrogen-sulfur-codoped carbon matrix via a direct pyrolysis process in which hemoglobin, a by-product of the meat industry, was utilized as a precursor for iron, nitrogen and sulfur while bamboo-shaped carbon nanotubes served as a support owing to their excellent conductivity and numerous defects. The resulting metal-nitrogen complexed carbon showed outstanding catalytic performance for the oxygen evolution reaction (OER) in alkaline solutions. At an overpotential of 380 mV, the optimal sample yielded a current density of 83.6 mAcm(-2), which is 2.5 times that of benchmark IrO2 (32.8mA cm(-2)), rendering it as one of the best OER catalysts reported so far. It also showed negligible activity decay in alkaline solutions during long-term durability tests. Control experiments and X-ray absorption fine structure analyses revealed that Fe-N-x species in the samples are the active sites for OER. Further density functional theory calculations indicated that the presence of sulfur in the carbon matrix modified the electronic structures of active species, thereby leading to the superior activity of the sample. (C) 2020 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据