Size-controlled large-diameter and few-walled carbon nanotube catalysts for oxygen reduction

Xianliang WANG, Qing LI, Hengyu PAN, Ye LIN, Yujie KE, Haiyang SHENG, Mark T. SWIHART*, Gang WU

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

110 Citations (Scopus)

Abstract

We demonstrate a new strategy for tuning the size of large-diameter and few-walled nitrogen-doped carbon nanotubes (N-CNTs) from 50 to 150 nm by varying the transition metal (TM = Fe, Co, Ni or Mn) used to catalyze graphitization of dicyandiamide. Fe yielded the largest tubes, followed by Co and Ni, while Mn produced a clot-like carbon morphology. We show that morphology is correlated with electrocatalytic activity for the oxygen reduction reaction (ORR). A clear trend of Fe > Co > Ni > Mn for the ORR catalytic activity was observed, in both alkaline media and more demanding acidic media. The Fe-derived N-CNTs exhibited the highest BET (∼870 m2 g-1) and electrochemically accessible (∼450 m2 g-1) surface areas and, more importantly, the highest concentration of nitrogen incorporated into the carbon planes. Thus, in addition to the intrinsic high activity of Fe-derived catalysts, the high surface area and nitrogen doping contribute to high ORR activity. This work, for the first time, demonstrates size-controlled synthesis of large-diameter N-doped carbon tube electrocatalysts by varying the metal used in N-CNT generation. Electrocatalytic activity of the Fe-derived catalyst is already the best among studied metals, due to the high intrinsic activity of possible Fe-N coordination. This work further provides a promising route to advanced Fe-N-C nonprecious metal catalysts by generating favorable morphology with more active sites and improved mass transfer.
Original languageEnglish
Pages (from-to)20290-20298
Number of pages9
JournalNanoscale
Volume7
Issue number47
Early online date12 Nov 2015
DOIs
Publication statusPublished - 21 Dec 2015
Externally publishedYes

Funding

The authors gratefully acknowledge financial support from the New York State Center of Excellence in Materials Informatics (M.T.S.) and startup funds from the University at Buffalo (SUNY) along with U.S. Department of Energy, Fuel Cell Technologies Office (FCTO) Incubator Program (DE-EE0006960) and National Science Foundation (CBET-1511528) (G.W.).

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