TY  - JOUR
AU  - Kiendler-Scharr, A.
AU  - Zhang, Q.
AU  - Hohaus, Th.
AU  - Kleist, E.
AU  - Mensah, A.
AU  - Mentel, T. F.
AU  - Spindler, C.
AU  - Uerlings, R.
AU  - Tillmann, R.
AU  - Wildt, J.
TI  - Aerosol Mass Spectrometric Features of Biogenic SOA: Observations from a Plant Chamber and in Rural Atmospheric Environments
JO  - Environmental Science & Technology
VL  - 43
SN  - 0013-936X
CY  - Columbus, Ohio
PB  - American Chemical Society
M1  - PreJuSER-6233
SP  - 8166 - 8172
PY  - 2009
N1  - 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.
AB  - 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.
KW  - Aerosols: analysis
KW  - Atmosphere: chemistry
KW  - Mass Spectrometry
KW  - Organic Chemicals: analysis
KW  - Particle Size
KW  - Time Factors
KW  - Trees: chemistry
KW  - Volatilization
KW  - Aerosols (NLM Chemicals)
KW  - Organic Chemicals (NLM Chemicals)
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
C6  - pmid:19924939
UR  - <Go to ISI:>//WOS:000271106300033
DO  - DOI:10.1021/es901420b
UR  - https://juser.fz-juelich.de/record/6233
ER  -