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Nitrogen functionalized graphite nanofibers/Ir nanoparticles for enhanced oxygen reduction reaction in polymer electrolyte fuel cells (PEFCs)

Title
Nitrogen functionalized graphite nanofibers/Ir nanoparticles for enhanced oxygen reduction reaction in polymer electrolyte fuel cells (PEFCs)
Author(s)
Peera, S. GouseSahu, A. K.Bhat, S. D.Lee, Sang Cheol
Issued Date
2014-01
Citation
RSC Advances, v.4, no.22, pp.11080 - 11088
Type
Article
ISSN
2046-2069
Abstract
Nitrogen functionalization of graphite nanofibers (N-GNF) was performed using hexa methyl tetra amine (HMTA) as the nitrogen source and used as a support material for metal nanoparticle deposition. The successful incorporation of nitrogen was confirmed using X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy analysis. Iridium (Ir) nanoparticles with a particle size of ∼2.2 nm were deposited onto N-GNF by a simple ethanol reduction method. The oxygen reduction reaction (ORR) activity of N-GNF and the ameliorating effect of ORR on Ir deposited N-GNF (Ir/N-GNF) were studied by various physicochemical and electrochemical methods. The enhancement of ORR activity for Ir/N-GNF was evidenced by high onset potentials and mass activities. The presence of nitrogen in the Ir/N-GNF catalyst facilitates quick desorption of the -OH species from the Ir surface and accelerates the electrochemical reaction of Ir particles which in turn enhances the ORR activity. The electrochemical stability of the Ir/N-GNF was investigated by repeated potential cycling up to 2500 cycles and was found to have excellent stability for ORR activity. The PEFC with Ir/N-GNF catalyst delivers a peak power density of 450 mW cm-2 at a load current density of 1577 mA cm-2, while the PEFC with Ir/GNF catalyst delivers a peak power density of only 259 mW cm-2 at a load current density of 1040 mA cm-2 under identical operation conditions. © 2014 The Royal Society of Chemistry.
URI
http://hdl.handle.net/20.500.11750/5281
DOI
10.1039/c3ra47533f
Publisher
Royal Society of Chemistry
Related Researcher
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Division of Intelligent Robotics 1. Journal Articles

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