Time-resolved measurements of aromatic hydrocarbon in exhaust gas using resonance enhanced multi-photon ionization method

Kotaro Suzaki*, Hiroyuki Yamada, Yuichi Goto, Kentaro Misawa, Jun Matsumoto, Yohei Yamato, Shunichi Ishiuchi, Masaaki Fujii, Koichi Tanaka, Katsumi Endo, Shunichi Hayashi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Time-resolved measurements of volatile organic compounds (VOC) and poly aromatic hydrocarbon (PAH) in exhaust gas from automobiles in a driving mode have been performed using Supersonic Jet / resonance enhanced multi-photon ionization (Jet-REMPI) method with 10 ppb sensitivity. Benzene, naphthalene and phenol were measured before and after catalyst treatment in the diesel cars. At the same time total hydrocarbon (THC) was detected by FID through a CVS instrument, which is the normal method for real-time measurement of hydrocarbon without distinction of hydrocarbon species in exhaust gas. The changes in concentration of benzene and other PAH corresponding to the changes in the driving mode were successfully measured every 1 second. As a result of real-time monitoring of exhaust gas from diesel engine, benzene, naphthalene and phenol were quantified at JE05 mode. Compared a real-time PAH and VOC signals with a total hydrocarbon signal detected by FID, it was found that each tendency of benzene and naphthalene was almost same as that of THC, while the tendency of phenol is different from that of THC.

Original languageEnglish
Pages725-730
Number of pages6
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event7th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2008 - Sapporo, Japan
Duration: 2008 Jul 282008 Jul 31

Conference

Conference7th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2008
Country/TerritoryJapan
CitySapporo
Period08/7/2808/7/31

Keywords

  • Exhaust gas
  • PAH
  • REMPI
  • VOC

ASJC Scopus subject areas

  • Automotive Engineering
  • Control and Systems Engineering
  • Modelling and Simulation

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