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Hyphenation of a EC / OC thermal-optical carbon analyzer to photo-ionization time-of-flight mass spectrometry: An off-line aerosol mass spectrometric approach for characterization of primary and secondary particulate matter

Diab, J.; Streibel, T.; Cavalli, F.; Lee, S.C.; Saathoff, H.; Mamakos, A.; Chow, J.C.; Chen, L.W.A.; Watson, J.G.; Sippula, O.; Zimmermann, R.

Source apportionment and characterization of primary and secondary aerosols remains a challenging research field. In particular, the organic composition of primary particles and the formation mechanism of secondary organic aerosols (SOAs) warrant further investigations. Progress in this field is strongly connected to the development of novel analytical techniques. In this study an off-line aerosol mass spectrometric technique based on filter samples, a hyphenated thermal–optical analyzer photo-ionization time-of-flight mass spectrometer (PI-TOFMS) system, was developed. The approach extends the capability of the widely used particulate matter (PM) carbon analysis (for elemental = organic carbon, EC / OC) by enabling the investigation of evolved gaseous species with soft and selective (resonance enhanced multi-photon ionization, REMPI) and non-selective photoionization (single-photon ionization, SPI) techniques. SPI was tuned to be medium soft to achieve comparability with results obtained by the electron ionization aerosol mass spectrometer (AMS). Different PM samples including wood combustion emission samples, smog chamber samples ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/110104161
Veröffentlicht am 29.10.2018
DOI: 10.5194/amt-8-3337-2015
Zitationen: 16
Web of Science
Zitationen: 10
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Aerosolforschung (IMK-AAF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 110104161
HGF-Programm 12.03.03 (POF III, LK 01)
Erschienen in Atmospheric measurement techniques
Band 8
Heft 8
Seiten 3337-3353
Nachgewiesen in Web of Science
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