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@ARTICLE{KiendlerScharr:6233,
      author       = {Kiendler-Scharr, A. and Zhang, Q. and Hohaus, Th. and
                      Kleist, E. and Mensah, A. and Mentel, T. F. and Spindler, C.
                      and Uerlings, R. and Tillmann, R. and Wildt, J.},
      title        = {{A}erosol {M}ass {S}pectrometric {F}eatures of {B}iogenic
                      {SOA}: {O}bservations from a {P}lant {C}hamber and in
                      {R}ural {A}tmospheric {E}nvironments},
      journal      = {Environmental Science $\&$ Technology},
      volume       = {43},
      issn         = {0013-936X},
      address      = {Columbus, Ohio},
      publisher    = {American Chemical Society},
      reportid     = {PreJuSER-6233},
      pages        = {8166 - 8172},
      year         = {2009},
      note         = {We gratefully acknowledge support by the European
                      Commission (IP-EUCAARI, Contract No. 036833-2). Q.Z. was
                      supported by the U.S. Department of Energy's Atmospheric
                      Science Program (Office of Science, BER), Grant No.
                      DE-FG02-08ER64627. We thank James Allan (U. Manchester) for
                      the AMS data analysis software and anonymous reviewers for
                      their constructive comments.},
      abstract     = {Secondary organic aerosol (SOA) is known to form from a
                      variety of anthropogenic and biogenic precursors. Current
                      estimates of global SOA production vary over 2 orders of
                      magnitude. Since no direct measurement technique for SOA
                      exists, quantifying SOA remains a challenge for atmospheric
                      studies. The identification of biogenic SOA (BSOA) based on
                      mass spectral signatures offers the possibility to derive
                      source information of organic aerosol (OA) with high time
                      resolution. Here we present data from simulation
                      experiments. The BSOA from tree emissions was characterized
                      with an Aerodyne quadrupole aerosol mass spectrometer
                      (Q-AMS). Collection efficiencies were close to 1, and
                      effective densities of the BSOA were found to be 1.3 +/- 0.1
                      g/cm(3). The mass spectra of SOA from different trees were
                      found to be highly similar. The average BSOA mass spectrum
                      from tree emissions is compared to a BSOA component spectrum
                      extracted from field data. It is shown that overall the
                      spectra agree well and that the mass spectral features of
                      BSOA are distinctively different from those of OA components
                      related to fresh fossil fuel and biomass combustions. The
                      simulation chamber mass spectrum may potentially be useful
                      for the identification and interpretation of biogenic SOA
                      components in ambient data sets.},
      keywords     = {Aerosols: analysis / Atmosphere: chemistry / Mass
                      Spectrometry / Organic Chemicals: analysis / Particle Size /
                      Time Factors / Trees: chemistry / Volatilization / Aerosols
                      (NLM Chemicals) / Organic Chemicals (NLM Chemicals) / J
                      (WoSType)},
      cin          = {ICG-2 / ICG-3},
      ddc          = {050},
      cid          = {I:(DE-Juel1)VDB791 / I:(DE-Juel1)ICG-3-20090406},
      pnm          = {Atmosphäre und Klima / Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK406 / G:(DE-Juel1)FUEK407},
      shelfmark    = {Engineering, Environmental / Environmental Sciences},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:19924939},
      UT           = {WOS:000271106300033},
      doi          = {10.1021/es901420b},
      url          = {https://juser.fz-juelich.de/record/6233},
}