Issue 8, 2015

Needle trap sampling thermal-desorption resonance enhanced multiphoton ionization time-of-flight mass spectrometry for analysis of marine diesel engine exhaust

Abstract

The aim of this publication is to present the results of the ship diesel engine measurement campaign in Rostock. A single-cylinder diesel research engine was operated on different engine loads and two different fuel types – diesel fuel (DF, diesel DIN-EN 590) and heavy fuel oil (HFO 180). The gaseous phase was directly trapped on needle trap devices (NTDs), thermal desorbed in a GC inlet and analyzed by resonance enhanced multiphoton ionization time-of-flight mass spectrometry (REMPI-TOFMS). The photoionization was realized using two different wavelengths – 266 nm and 248 nm. With REMPI mainly aromatic substances are softly ionized, thus, especially aromatics and polycyclic aromatic hydrocarbons (PAH) were found in gaseous samples of exhaust. Differences between the two fuel qualities are obviously visible. While DF exhaust contains smaller molecules (mass-to-charge ratio between 75 and 220) higher molecular substances (up to m/z 280) were found in exhaust of HFO. For example, benzene and its methylated derivatives were detected only in the diesel exhaust. Phenanthrene and alkylphenanthrenes are the major compounds resulting from combustion of heavy fuel oil. For confirmation of measured substances in exhaust the modified gas chromatographic device was complemented by a GC column.

Graphical abstract: Needle trap sampling thermal-desorption resonance enhanced multiphoton ionization time-of-flight mass spectrometry for analysis of marine diesel engine exhaust

Supplementary files

Article information

Article type
Paper
Submitted
04 Feb 2015
Accepted
21 Mar 2015
First published
23 Mar 2015

Anal. Methods, 2015,7, 3608-3617

Needle trap sampling thermal-desorption resonance enhanced multiphoton ionization time-of-flight mass spectrometry for analysis of marine diesel engine exhaust

J. Kleeblatt, B. Stengel, C. Radischat, J. Passig, T. Streibel, O. Sippula, R. Rabe, H. Harndorf and R. Zimmermann, Anal. Methods, 2015, 7, 3608 DOI: 10.1039/C5AY00321K

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