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  Quantitative single-particle analysis with the Aerodyne aerosol mass spectrometer: development of a new classification algorithm and its application to field data

Freutel, F., Drewnick, F., Schneider, J., Klimach, T., & Borrmann, S. (2013). Quantitative single-particle analysis with the Aerodyne aerosol mass spectrometer: development of a new classification algorithm and its application to field data. Atmospheric Measurement Techniques, 6(11), 3131-3145.

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 Creators:
Freutel, F.1, Author           
Drewnick, F.1, Author           
Schneider, J.1, Author           
Klimach, T.1, Author           
Borrmann, S.1, Author           
Affiliations:
1Particle Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826291              

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 Abstract: Single-particle mass spectrometry has proven a valuable tool for gaining information on the mixing state of aerosol particles. With the Aerodyne aerosol mass spectrometer (AMS) equipped with a light-scattering probe, nonrefractory components of submicron particles with diameters larger than about 300 nm can even be quantified on a single-particle basis. Here, we present a new method for the analysis of AMS single-particle mass spectra. The developed algorithm classifies the particles according to their components (e. g. sulphate, nitrate, different types of organics) and simultaneously provides quantitative information about the composition of the single particles. This classification algorithm was validated by applying it to data acquired in laboratory experiments with particles of known composition, and applied to field data acquired during the MEGAPOLI summer campaign (July 2009) in Paris. As shown, it is not only possible to directly measure the mixing state of atmospheric particles, but also to directly observe repartitioning of semi-volatile species between gas and particle phase during the course of the day.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Internal
 Identifiers: eDoc: 675642
ISI: 000327815900013
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Title: Atmospheric Measurement Techniques
Source Genre: Journal
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Pages: - Volume / Issue: 6 (11) Sequence Number: - Start / End Page: 3131 - 3145 Identifier: ISSN: 1867-1381