Exploring the composition and volatility of secondary organic aerosols in mixed anthropogenic and biogenic precursor systems

• Published in: Atmospheric chemistry and physics Vol. 21; no. 18; pp. 14251 - 14273
• Main Authors: Voliotis, Aristeidis, Wang, Yu, Shao, Yunqi, Du, Mao, Bannan, Thomas J, Percival, Carl J, Pandis, Spyros N, Alfarra, M. Rami, McFiggans, Gordon
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 24.09.2021; Copernicus Publications
• Subjects: Aerosols; Anthropogenic factors; Chambers; Chemical composition; Cresols; Experiments; Gases; Human influences; Ionization; Mass spectrometry; Methods; Molecular interactions; Oxidation; Phase composition; Photooxidation; Precursors; Radiation; Scavenging; Secondary aerosols; VOCs; Volatile organic compounds; Volatility; α-Pinene
• ISSN: 1680-7324; 1680-7316; 1680-7324
• DOI: 10.5194/acp-21-14251-2021

Secondary organic aerosol (SOA) formation from mixtures of volatile precursors may be influenced by the molecular interactions of the components of the mixture. Here, we report measurements of the volatility distribution of SOA formed from the photo-oxidation of o-cresol, α-pinene, and their mixtures, representative anthropogenic and biogenic precursors, in an atmospheric simulation chamber. The combination of two independent thermal techniques (thermal denuder, TD, and the Filter Inlet for Gases and Aerosols coupled to a high-resolution time-of-flight chemical ionization mass spectrometer, FIGAERO-CIMS) to measure the particle volatility, along with detailed gas- and particle-phase composition measurements, provides links between the chemical composition of the mixture and the resultant SOA particle volatility. The SOA particle volatility obtained by the two independent techniques showed substantial discrepancies. The particle volatility obtained by the TD was wider, spanning across the LVOC and SVOC range, while the respective FIGAERO-CIMS derived using two different methods (i.e. calibrated Tmax and partitioning calculations) was substantially higher (mainly in the SVOC and IVOC, respectively) and narrow. Although the quantification of the SOA particle volatility was challenging, both techniques and methods showed similar trends, with the volatility of the SOA formed from the photo-oxidation of α-pinene being higher than that measured in the o-cresol system, while the volatility of the SOA particles of the mixture was between those measured at the single-precursor systems. This behaviour could be explained by two opposite effects, the scavenging of the larger molecules with lower volatility produced in the single-precursor experiments that led to an increase in the average volatility and the formation of unique-to-the-mixture products that had higher O:C, MW, OSc‾ and, consequently, lower volatility compared to those derived from the individual precursors. We further discuss the potential limitations of FIGAERO-CIMS to report quantitative volatilities and their implications for the reported results, and we show that the particle volatility changes can be qualitatively assessed, while caution should be taken when linking the chemical composition to the particle volatility. These results present the first detailed observations of SOA particle volatility and composition in mixed anthropogenic and biogenic systems and provide an analytical context that can be used to explore particle volatility in chamber experiments.