@article{
 title = {Mass Spectra Deconvolution of Low, Medium, and High Volatility Biogenic Secondary Organic Aerosol},
 type = {article},
 year = {2009},
 identifiers = {[object Object]},
 pages = {4884-4889},
 volume = {43},
 month = {7},
 id = {46a9e617-02a1-3ac0-ac21-31499dec6491},
 created = {2014-10-08T16:28:18.000Z},
 file_attached = {false},
 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Kostenidou.est.2009a},
 source_type = {article},
 private_publication = {false},
 abstract = {Secondary organic aerosol (SON consists of compounds with a wide range
of volatilities and its ambient concentration is sensitive to this
volatility distribution. Recent field studies have shown that the
typical mass spectrum of ambient oxygenated organic aerosol (OOA) as
measured by the Aerodyne Aerosol Mass Spectrometer (AMS) is quite
different from the SOA mass spectra reported in smog chamber
experiments. Part of this discrepancy is due to the dependence of SOA
composition on the organic aerosol concentration. High precursor
concentrations lead to higher concentrations of the more volatile
species in the produced SOA while at lower concentrations the less
volatile compounds dominate the SOA composition. alpha-Pinene,
beta-pinene, d-limonene, and P-caryophyllone ozonolysis experiments
were. performed at moderate concentration levels. Using a thermodenuder
the more volatile SOA species were removed achieving even lower SOA
concentration. The less volatile fraction was then chemically
characterized by an AMS. The signal fraction of m/z 44, and thus the
concentration of CO2+, is significantly higher for the less volatile
SOA. High NO, conditions result in less oxidized SOA than low NO,
conditions, while increasing relative humidity levels results in more
oxidized products for limonene but has little effect on alpha-and
beta-pinene SOA. Combining a smog chamber with a thermodenuder model
employing the volatility basis-set framework, the AMS SOA mass spectrum
for each experiment and for each precursor is deconvoluted into low,
medium, and high volatility component mass spectra. The spectrum of the
surrogate component with the lower volatility is quite similar to that
of ambient OOA.},
 bibtype = {article},
 author = {Kostenidou, Evangelia and Lee, Byong-Hyoek and Engelhart, Gabriella J and Pierce, Jeffrey R and Pandis, Spyros N},
 journal = {ENVIRONMENTAL SCIENCE & TECHNOLOGY},
 number = {13}
}

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Recent field studies have shown that the\ntypical mass spectrum of ambient oxygenated organic aerosol (OOA) as\nmeasured by the Aerodyne Aerosol Mass Spectrometer (AMS) is quite\ndifferent from the SOA mass spectra reported in smog chamber\nexperiments. Part of this discrepancy is due to the dependence of SOA\ncomposition on the organic aerosol concentration. High precursor\nconcentrations lead to higher concentrations of the more volatile\nspecies in the produced SOA while at lower concentrations the less\nvolatile compounds dominate the SOA composition. alpha-Pinene,\nbeta-pinene, d-limonene, and P-caryophyllone ozonolysis experiments\nwere. performed at moderate concentration levels. Using a thermodenuder\nthe more volatile SOA species were removed achieving even lower SOA\nconcentration. The less volatile fraction was then chemically\ncharacterized by an AMS. The signal fraction of m/z 44, and thus the\nconcentration of CO2+, is significantly higher for the less volatile\nSOA. High NO, conditions result in less oxidized SOA than low NO,\nconditions, while increasing relative humidity levels results in more\noxidized products for limonene but has little effect on alpha-and\nbeta-pinene SOA. Combining a smog chamber with a thermodenuder model\nemploying the volatility basis-set framework, the AMS SOA mass spectrum\nfor each experiment and for each precursor is deconvoluted into low,\nmedium, and high volatility component mass spectra. The spectrum of the\nsurrogate component with the lower volatility is quite similar to that\nof ambient OOA.","bibtype":"article","author":"Kostenidou, Evangelia and Lee, Byong-Hyoek and Engelhart, Gabriella J and Pierce, Jeffrey R and Pandis, Spyros N","journal":"ENVIRONMENTAL SCIENCE & TECHNOLOGY","number":"13","bibtex":"@article{\n title = {Mass Spectra Deconvolution of Low, Medium, and High Volatility Biogenic Secondary Organic Aerosol},\n type = {article},\n year = {2009},\n identifiers = {[object Object]},\n pages = {4884-4889},\n volume = {43},\n month = {7},\n id = {46a9e617-02a1-3ac0-ac21-31499dec6491},\n created = {2014-10-08T16:28:18.000Z},\n file_attached = {false},\n profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},\n group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},\n last_modified = {2017-03-14T17:32:24.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Kostenidou.est.2009a},\n source_type = {article},\n private_publication = {false},\n abstract = {Secondary organic aerosol (SON consists of compounds with a wide range\nof volatilities and its ambient concentration is sensitive to this\nvolatility distribution. Recent field studies have shown that the\ntypical mass spectrum of ambient oxygenated organic aerosol (OOA) as\nmeasured by the Aerodyne Aerosol Mass Spectrometer (AMS) is quite\ndifferent from the SOA mass spectra reported in smog chamber\nexperiments. Part of this discrepancy is due to the dependence of SOA\ncomposition on the organic aerosol concentration. High precursor\nconcentrations lead to higher concentrations of the more volatile\nspecies in the produced SOA while at lower concentrations the less\nvolatile compounds dominate the SOA composition. alpha-Pinene,\nbeta-pinene, d-limonene, and P-caryophyllone ozonolysis experiments\nwere. performed at moderate concentration levels. Using a thermodenuder\nthe more volatile SOA species were removed achieving even lower SOA\nconcentration. The less volatile fraction was then chemically\ncharacterized by an AMS. The signal fraction of m/z 44, and thus the\nconcentration of CO2+, is significantly higher for the less volatile\nSOA. High NO, conditions result in less oxidized SOA than low NO,\nconditions, while increasing relative humidity levels results in more\noxidized products for limonene but has little effect on alpha-and\nbeta-pinene SOA. Combining a smog chamber with a thermodenuder model\nemploying the volatility basis-set framework, the AMS SOA mass spectrum\nfor each experiment and for each precursor is deconvoluted into low,\nmedium, and high volatility component mass spectra. The spectrum of the\nsurrogate component with the lower volatility is quite similar to that\nof ambient OOA.},\n bibtype = {article},\n author = {Kostenidou, Evangelia and Lee, Byong-Hyoek and Engelhart, Gabriella J and Pierce, Jeffrey R and Pandis, Spyros N},\n journal = {ENVIRONMENTAL SCIENCE & TECHNOLOGY},\n number = {13}\n}","author_short":["Kostenidou, E.","Lee, B.","Engelhart, G., J.","Pierce, J., R.","Pandis, S., N."],"bibbaseid":"kostenidou-lee-engelhart-pierce-pandis-massspectradeconvolutionoflowmediumandhighvolatilitybiogenicsecondaryorganicaerosol-2009","role":"author","urls":{},"downloads":0},"bibtype":"article","biburl":null,"creationDate":"2014-09-11T15:28:58.952Z","downloads":0,"keywords":["aerosols","air pollutants","air pollutants: analysis","bicyclo compounds","bicyclo compounds: analysis","environmental monitoring","environmental monitoring: methods","mass spectrometry","mass spectrometry: methods","monoterpenes","monoterpenes: analysis","organic chemicals","organic chemicals: analysis","organic chemicals: chemistry","oxygen","oxygen: analysis","ozone","ozone: chemistry","sesquiterpenes","sesquiterpenes: analysis","smog","temperature","terpenes","terpenes: analysis"],"search_terms":["mass","spectra","deconvolution","low","medium","high","volatility","biogenic","secondary","organic","aerosol","kostenidou","lee","engelhart","pierce","pandis"],"title":"Mass Spectra Deconvolution of Low, Medium, and High Volatility Biogenic Secondary Organic Aerosol","year":2009}