Structural study of nitrogen-doping effects in bamboo-shaped multiwalled carbon nanotubes
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- 7 April 2004
- journal article
- Published by AIP Publishing in Applied Physics Letters
- Vol. 84 (15) , 2877-2879
- https://doi.org/10.1063/1.1697624
Abstract
We have investigated nitrogen doping effects on the structure and crystallinity of bamboo-shaped multiwalled carbon nanotubes (BS-MWNTs) by means of x-ray photoemission spectroscopy (XPS) and transmission electron microscopy. By controlling the flow ratio during the chemical vapor deposition, the nitrogen concentrations of 0.4% to 2.4% were obtained. According to the XPS measurements, the increasing nitrogen concentration gave rise to an increase of the C bonds as well as the deterioration of the crystallinity of the BS-MWNTs. Besides, the C bonds were found to prevail over the C bonds above 5% nitrogen concentration. At higher nitrogen concentrations, the BS-MWNTs showed shorter compartment distances, presumably due to the suppressed surface diffusion of carbon on the catalyst particles.
Keywords
This publication has 18 references indexed in Scilit:
- Synthesis of bamboo-shaped carbon–nitrogen nanotubes using C2H2–NH3–Fe(CO)5 systemChemical Physics Letters, 2002
- Boron carbide nanolumps on carbon nanotubesApplied Physics Letters, 2002
- Effect of NH3 environmental gas on the growth of aligned carbon nanotube in catalystically pyrolizing C2H2Thin Solid Films, 2001
- Influence of Nitrogen on the Growth Mechanism of Decorated C:N NanotubesChemphyschem, 2001
- CN x /carbon nanotube junctions synthesized by microwave chemical vapor depositionApplied Physics Letters, 2001
- Theoretical investigation of graphitic carbon nitride and possible tubule formsSolid State Communications, 1997
- Storage of hydrogen in single-walled carbon nanotubesNature, 1997
- Electronic structure of chiral graphene tubulesApplied Physics Letters, 1992
- Helical microtubules of graphitic carbonNature, 1991
- Optimization of parameters for semiempirical methods I. MethodJournal of Computational Chemistry, 1989