PuSH - Publikationsserver des Helmholtz Zentrums München: Real-time analysis of aromatics in combustion engine exhaust by Resonance-Enhanced Multiphoton Ionisation Time-Of-Flight Mass Spectrometry (REMPI-TOF-MS): A robust tool for chassis dynamometer testing.

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Adam, T.W.* ; Clairotte, M.* ; Streibel, T.* ; Elsasser, M. ; Pommeres, A.* ; Manfredi, U.* ; Carriero, M.* ; Martini, G.* ; Sklorz, M.* ; Krasenbrink, A.* ; Astorga, C.* ; Zimmermann, R.

Real-time analysis of aromatics in combustion engine exhaust by Resonance-Enhanced Multiphoton Ionisation Time-Of-Flight Mass Spectrometry (REMPI-TOF-MS): A robust tool for chassis dynamometer testing.

Anal. Bioanal. Chem. 404, 273-276 (2012)

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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

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Resonance-enhanced multiphoton ionisation time-of-flight mass spectrometry (REMPI-TOF-MS) is a robust method for real-time analysis of monocyclic and polycyclic aromatic hydrocarbons in complex emissions. A mobile system has been developed which enables direct analysis on site. In this paper, we utilize a multicomponent calibration scheme based on the analytes' photo-ionisation cross-sections relative to a calibrated species. This allows semi-quantification of a great number of components by only calibrating one compound of choice, here toluene. The cross-sections were determined by injecting nebulised solutions of aromatic compounds into the TOF-MS ion source with the help of a HPLC pump. Then, REMPI-TOF-MS was implemented at various chassis dynamometers and test cells and the exhaust of the following vehicles and engines investigated: a compression ignition light-duty (LD) passenger car, a compression ignition LD van, two spark ignition LD passenger cars, 2 two-stroke mopeds, and a two-stroke engine of a string gas trimmer. The quantitative time profiles of benzene are shown. The results indicate that two-stroke engines are a significant source for toxic and cancerogenic compounds. Air pollution and health effects caused by gardening equipment might still be underestimated.

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