title: Mass spectra deconvolution of low, medium, and high volatility biogenic secondary organic aerosol.
abstract: Secondary organic aerosol (SOA) 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 beta-caryophyllene 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/z44, and thus the concentration of C02+, is significantly higher for the less volatile SOA. High NO(x) conditions result in less oxidized SOA than low NO(x) 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.
authors: Institute of Chemical Engineering and High Temperature Chemical Processes, ICE-HT, Patras, Greece.
authors: Evangelia
authors: E
authors: Kostenidou
authors: Byong-Hyoek
authors: BH
authors: Lee
authors: Gabriella J
authors: GJ
authors: Engelhart
authors: Jeffrey R
authors: JR
authors: Pierce
authors: Spyros N
authors: SN
authors: Pandis
mesh_terms: D000336:Aerosols; D000393:Air Pollutants / Q000032:analysis; D000081008:Bicyclic Monoterpenes; D001643:Bridged Bicyclo Compounds / Q000032:analysis; D004784:Environmental Monitoring / Q000379:methods; D013058:Mass Spectrometry / Q000379:methods*; D039821:Monoterpenes / Q000032:analysis; D009930:Organic Chemicals / Q000032:analysis / Q000737:chemistry*; D010100:Oxygen / Q000032:analysis; D010126:Ozone / Q000737:chemistry*; D000081223:Polycyclic Sesquiterpenes; D012717:Sesquiterpenes / Q000032:analysis; D012905:Smog; D013696:Temperature; D013729:Terpenes / Q000032:analysis
chemical_list: D000336:Aerosols; D000393:Air Pollutants; D000081008:Bicyclic Monoterpenes; D001643:Bridged Bicyclo Compounds; D039821:Monoterpenes; D009930:Organic Chemicals; D000081223:Polycyclic Sesquiterpenes; D012717:Sesquiterpenes; D012905:Smog; D013729:Terpenes; C010789:beta-pinene; D010126:Ozone; C024714:caryophyllene; C005451:alpha-pinene; D010100:Oxygen