Abstract

Abstract. Recently, graphical representations of aerosol mass spectrometer (AMS) spectra and elemental composition have been developed to explain the oxidative and aging processes of secondary organic aerosol (SOA). It has been shown previously that oxygenated organic aerosol (OOA) components from ambient and laboratory data fall within a triangular region in the f44 vs. f43 space, where f44 and f43 are the ratios of the organic signal at m/z 44 and 43 to the total organic signal in AMS spectra, respectively; we refer to this graphical representation as the "triangle plot." Alternatively, the Van Krevelen diagram has been used to describe the evolution of functional groups in SOA. In this study we investigate the variability of SOA formed in chamber experiments from twelve different precursors in both "triangle plot" and Van Krevelen domains. Spectral and elemental data from the high-resolution Aerodyne aerosol mass spectrometer are compared to offline species identification analysis and FTIR filter analysis to better understand the changes in functional and elemental composition inherent in SOA formation and aging. We find that SOA formed under high- and low-NOx conditions occupy similar areas in the "triangle plot" and Van Krevelen diagram and that SOA generated from already oxidized precursors allows for the exploration of areas higher on the "triangle plot" not easily accessible with non-oxidized precursors. As SOA ages, it migrates toward the top of the triangle along a path largely dependent on the precursor identity, which suggests increasing organic acid content and decreasing mass spectral variability. The most oxidized SOA come from the photooxidation of methoxyphenol precursors which yielded SOA O/C ratios near unity. α-pinene ozonolysis and naphthalene photooxidation SOA systems have had the highest degree of mass closure in previous chemical characterization studies and also show the best agreement between AMS elemental composition measurements and elemental composition of identified species within the uncertainty of the AMS elemental analysis. In general, compared to their respective unsaturated SOA precursors, the elemental composition of chamber SOA follows a slope shallower than −1 on the Van Krevelen diagram, which is indicative of oxidation of the precursor without substantial losss of hydrogen, likely due to the unsaturated nature of the precursors. From the spectra of SOA studied here, we are able to reproduce the triangular region originally constructed with ambient OOA compents with chamber aerosol showing that SOA becomes more chemically similar as it ages. Ambient data in the middle of the triangle represent the ensemble average of many different SOA precursors, ages, and oxidative processes.

Highlights

  • Organic compounds comprise a significant fraction of ambient submicron aerosol mass (Zhang et al, 2007; Jimenez et al, 2009) with numerous sources and atmospheric processes contributing to their chemical complexity (Hallquist et al, 2009)

  • We investigate two different analysis methods (“triangle plot” and Van Krevelen diagram) for representing the general processes of formation and aging of Secondary organic aerosol (SOA)

  • Despite the variety of experimental conditions, differences in oxidative conditions have relatively little effect on the spectral identity and elemental composition of SOA as measured by the Aerosol Mass Spectrometer (AMS) compared to the identity of the SOA precursor

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Summary

Introduction

Organic compounds comprise a significant fraction of ambient submicron aerosol mass (Zhang et al, 2007; Jimenez et al, 2009) with numerous sources and atmospheric processes contributing to their chemical complexity (Hallquist et al, 2009). Secondary organic aerosol (SOA) forms from the gas-phase oxidation of a number of anthropogenic and biogenic volatile organic compounds (VOCs) (Kroll and Seinfeld, 2008; Robinson et al, 2007; Lim et al, 2010; Donahue et al, 2009; Goldstein and Galbally, 2007; De Gouw and Jimenez, 2009). Typically only a portion of the multitude of compounds present in SOA can be identified on a molecular level, on-line instruments like the Aerodyne Aerosol Mass Spectrometer (AMS) (Jayne et al, 2000; Canagaratna et al, 2007) can provide bulk, chemical characterization in real-time.

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