Single particle characterization using the soot particle aerosol mass spectrometer (SP-AMS)

dc.contributor.authorLee, Alex K. Y.
dc.contributor.authorWillis, Megan D.
dc.contributor.authorHealy, Robert M.
dc.contributor.authorOnasch, Timothy B.
dc.contributor.authorAbbatt, Jonathan P. D.
dc.contributor.funderEuropean Commission
dc.contributor.funderNatural Sciences and Engineering Research Council of Canada
dc.contributor.funderCanada Foundation for Innovation, Canada
dc.date.accessioned2016-07-27T12:56:02Z
dc.date.available2016-07-27T12:56:02Z
dc.date.issued2014-06-12
dc.date.updated2014-06-12T14:04:56Z
dc.description.abstractUnderstanding the impact of atmospheric black carbon (BC) containing particles on human health and radiative forcing requires knowledge of the mixing state of BC, including the characteristics of the materials with which it is internally mixed. In this study, we demonstrate for the first time the capabilities of the Aerodyne Soot-Particle Aerosol Mass Spectrometer equipped with a light scattering module (LS-SP-AMS) to examine the mixing state of refractory BC (rBC) and other aerosol components in an urban environment (downtown Toronto). K-means clustering analysis was used to classify single particle mass spectra into chemically distinct groups. One resultant cluster is dominated by rBC mass spectral signals (C+1 to C+5) while the organic signals fall into a few major clusters, identified as hydrocarbon-like organic aerosol (HOA), oxygenated organic aerosol (OOA), and cooking emission organic aerosol (COA). A nearly external mixing is observed with small BC particles only thinly coated by HOA ( 28% by mass on average), while over 90% of the HOA-rich particles did not contain detectable amounts of rBC. Most of the particles classified into other inorganic and organic clusters were not significantly associated with BC. The single particle results also suggest that HOA and COA emitted from anthropogenic sources were likely major contributors to organic-rich particles with low to mid-range aerodynamic diameter (dva). The similar temporal profiles and mass spectral features of the organic clusters and the factors from a positive matrix factorization (PMF) analysis of the ensemble aerosol dataset validate the conventional interpretation of the PMF results.en
dc.description.sponsorshipEuropean Commission (Marie Curie Action FP7-PEOPLE-IOF-2011, Project: CHEMBC, No. 299755)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLee, A.K.Y., Willis, M.D., Healy, R.M., Onasch, T.B. and Abbatt, J.P.D. (2014) 'Single particle characterization using the soot particle aerosol mass spectrometer (SP-AMS)', Atmospheric Chemistry and Physics Discussions, 14, pp. 15323–15361. doi:10.5194/acpd-14-15323-2014en
dc.identifier.doi10.5194/acpd-14-15323-2014
dc.identifier.endpage15361en
dc.identifier.issn1680-7367
dc.identifier.journaltitleAtmospheric Chemistry and Physics Discussionsen
dc.identifier.startpage15323en
dc.identifier.urihttps://hdl.handle.net/10468/2943
dc.identifier.volume14en
dc.language.isoenen
dc.publisherCopernicus Publications on behalf of the European Geosciences Union (EGU)en
dc.rights© 2014, the Authors. This work is distributed under the Creative Commons Attribution 3.0 License.en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en
dc.subjectAerosol compositionen
dc.subjectAnthropogenicen
dc.subjectMass spectrometryen
dc.subjectRadiative forcingen
dc.subjectBlack carbonen
dc.titleSingle particle characterization using the soot particle aerosol mass spectrometer (SP-AMS)en
dc.typeArticle (peer-reviewed)en
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