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Title: Simulation of MEIS spectra for quantitative understanding of average size, composition, and size distribution of Pt-Rh alloy nanoparticles[Medium-Energy Ion Scattering]

Abstract

In automobile emissions control, it has been of great importance to develop catalysts which have good thermal stability and high NO{sub x} conversion. To achieve this goal, it is crucially important to understand the behavior of metal particles and supports in engine exhaust gas. The authors have newly developed a medium-energy ion scattering (MEIS) simulation program for the analysis of alloy nanoparticles. The program was applied to the composition and average particle size analysis of Pt-Rh/{alpha}-Al{sub 2}O{sub 3} treated in oxidative and reductive atmospheres. It was found that the Pt concentration near the surface decreased after oxidative treatment at 800 C and returned to its original value after reductive treatment at the same temperature. It was shown that Pt particle average sizes less than 10 nm can be evaluated quantitatively. Also, this technique gives some insight into particle size distribution in the initial stage of particle sintering, which has been quite out of the reach of conventional analytical tools.

Authors:
; ;
Publication Date:
Research Org.:
Toyota Central Research and Development Labs., Inc., Nagakute, Aichi (JP)
OSTI Identifier:
20076090
Resource Type:
Journal Article
Journal Name:
Journal of Catalysis
Additional Journal Information:
Journal Volume: 192; Journal Issue: 1; Other Information: PBD: 15 May 2000; Journal ID: ISSN 0021-9517
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; 54 ENVIRONMENTAL SCIENCES; CATALYTIC CONVERTERS; CATALYSTS; PARTICLE SIZE; PLATINUM; RHODIUM; REDOX REACTIONS; NITROGEN OXIDES; AIR POLLUTION CONTROL; EXHAUST GASES; DENITRIFICATION

Citation Formats

Konomi, I., Hyodo, S., and Motohiro, T. Simulation of MEIS spectra for quantitative understanding of average size, composition, and size distribution of Pt-Rh alloy nanoparticles[Medium-Energy Ion Scattering]. United States: N. p., 2000. Web. doi:10.1006/jcat.2000.2813.
Konomi, I., Hyodo, S., & Motohiro, T. Simulation of MEIS spectra for quantitative understanding of average size, composition, and size distribution of Pt-Rh alloy nanoparticles[Medium-Energy Ion Scattering]. United States. doi:10.1006/jcat.2000.2813.
Konomi, I., Hyodo, S., and Motohiro, T. Mon . "Simulation of MEIS spectra for quantitative understanding of average size, composition, and size distribution of Pt-Rh alloy nanoparticles[Medium-Energy Ion Scattering]". United States. doi:10.1006/jcat.2000.2813.
@article{osti_20076090,
title = {Simulation of MEIS spectra for quantitative understanding of average size, composition, and size distribution of Pt-Rh alloy nanoparticles[Medium-Energy Ion Scattering]},
author = {Konomi, I. and Hyodo, S. and Motohiro, T.},
abstractNote = {In automobile emissions control, it has been of great importance to develop catalysts which have good thermal stability and high NO{sub x} conversion. To achieve this goal, it is crucially important to understand the behavior of metal particles and supports in engine exhaust gas. The authors have newly developed a medium-energy ion scattering (MEIS) simulation program for the analysis of alloy nanoparticles. The program was applied to the composition and average particle size analysis of Pt-Rh/{alpha}-Al{sub 2}O{sub 3} treated in oxidative and reductive atmospheres. It was found that the Pt concentration near the surface decreased after oxidative treatment at 800 C and returned to its original value after reductive treatment at the same temperature. It was shown that Pt particle average sizes less than 10 nm can be evaluated quantitatively. Also, this technique gives some insight into particle size distribution in the initial stage of particle sintering, which has been quite out of the reach of conventional analytical tools.},
doi = {10.1006/jcat.2000.2813},
journal = {Journal of Catalysis},
issn = {0021-9517},
number = 1,
volume = 192,
place = {United States},
year = {2000},
month = {5}
}