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Supercritical fluid synthesis and characterization of catalytic metal nanoparticles on carbon nanotubes

Ye, Xiang-Rong, Lin, Yuehe, Wang, Chongming, Engelhard, Mark H., Wang, Yong, Wai, Chien M.·2004·Journal of Materials Chemistry

Abstract

A rapid, convenient and environmentally benign method has been developed for the fabrication of metal nanoparticle–multiwall carbon nanotube (MWCNT) composites. Nanoparticles of palladium, rhodium and ruthenium are deposited onto functionalized MWCNTs through a simple hydrogen reduction of metal–β-diketone precursors in supercritical carbon dioxide, and are characterized by transmission electron microscopy (TEM), energy dispersive X-ray spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS) analyses. These highly dispersed nanoparticles, with a narrow range of size distribution and good adhesion on MWCNT surfaces, are expected to exhibit promising catalytic properties for a variety of chemical reactions. Preliminary experiments demonstrate that Pd nanoparticles supported on MWCNTs are effective catalysts for hydrogenation of olefins in carbon dioxide. The Pd nanoparticle–MWCNT composite also shows a high electrocatalytic activity in oxygen reduction for potential fuel cell application.

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Metadata

Authors
Ye, X.-R., Lin, Y., Wang, C., Engelhard, M. H., Wang, Y., & Wai, C. M.
Venue
Journal of Materials Chemistry
Published
2004
Volume
14
Issue
5
Pages
908
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2030039743
Cited by
252
References
0
FWCI
6.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Supercritical fluid synthesis and characterization of catalytic metal nanoparticles on carbon nanotubes. https://app.cochat.ai/papers/10.1039/b308124a
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Ye, X.-R., Lin, Y., Wang, C., Engelhard, M. H., Wang, Y., & Wai, C. M. (2004). Supercritical fluid synthesis and characterization of catalytic metal nanoparticles on carbon nanotubes. Journal of Materials Chemistry. https://doi.org/10.1039/b308124a

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.