<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, composition analysis using scanning electron microscopy/energy-dispersive X- ray spectroscopy analysis (SEM-EDX) and laser-induced breakdown spectroscopy (LIBS) for particulate matter in diesel exhaust is presented. Conventionally, scanning mobility particle sizer (SMPS) has been widely used to obtain particle size distribution of the suspended particles. However, real-time analysis of the composition of diesel particulate matter is difficult because of the small sized particles and rapidly exhausted. The particulates are less than a few micrometers in diameter. Realtime chemical analysis of the very small sized particles emitted from diesel fuels is facilitated with LIBS technique.</p></abstract>

In this paper, composition analysis using scanning electron microscopy/energy-dispersive X- ray spectroscopy analysis (SEM-EDX) and laser-induced breakdown spectroscopy (LIBS) for particulate matter in diesel exhaust is presented. Conventionally, scanning mobility particle sizer (SMPS) has been widely used to obtain particle size distribution of the suspended particles. However, real-time analysis of the composition of diesel particulate matter is difficult because of the small sized particles and rapidly exhausted. The particulates are less than a few micrometers in diameter. Realtime chemical analysis of the very small sized particles emitted from diesel fuels is facilitated with LIBS technique.

Diesel Particulate Analysis using Sem-Edx and Laser-Induced Breakdown Spectroscopy

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In this paper, composition analysis using scanning electron microscopy/energy-dispersive X- ray spectroscopy analysis (SEM-EDX) and laser-induced breakdown...

Diesel Particulate Analysis using Sem-Edx and Laser-Induced Breakdown Spectroscopy

Published Online: Jun 01, 2011

Page range: 174 - 188

Received: Apr 01, 2011

Accepted: May 25, 2011

DOI: https://doi.org/10.21307/ijssis-2017-434

© 2011 S. Ikezawa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.