Enhancement in Secondary Organic Aerosol Formation in the Presence of Preexisting Organic Particle

Atmospheric models of secondary organic aerosol (SOA) typically assume organic species form a well-mixed phase. As a result, partitioning of semivolatile oxidation products into the particle phase to form SOA is thought to be enhanced by preexisting organic particles. In this work, the physicochemic...

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Bibliographic Details
Published in:Environmental science & technology 2016-04, Vol.50 (7), p.3572-3579
Main Authors: Ye, Jianhuai, Gordon, Catherine A, Chan, Arthur W. H
Format: Article
Language:English
Subjects:
Aerosols
Aerosols - chemistry
Atmospheric models
Experiments
Kinetics
Models, Theoretical
Monoterpenes - chemistry
Organic Chemicals - chemistry
Oxidation
Ozone - chemistry
Seeds
Solubility
Temperature
Thermodynamics
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Summary:Atmospheric models of secondary organic aerosol (SOA) typically assume organic species form a well-mixed phase. As a result, partitioning of semivolatile oxidation products into the particle phase to form SOA is thought to be enhanced by preexisting organic particles. In this work, the physicochemical properties that govern such enhancement in SOA yield were examined. SOA yields from α-pinene ozonolysis were measured in the presence of a variety of organic seeds which were chosen based on polarity and phase state at room temperature. Yield enhancement was only observed with seeds of medium polarities (tetraethylene glycol and citric acid). Solid hexadecanol seed was observed to enhance SOA yields only in chamber experiments with longer mixing time scales, suggesting that the mixing process for SOA and hexadecanol may be kinetically limited at shorter time scales. Our observations indicate that, in addition to kinetic limitations, intermolecular interactions also play a significant role in determining SOA yields. Here we propose for the first time to use the Hansen solubility framework to determine aerosol miscibility and predict SOA yield enhancement. These results highlight that current models may overestimate SOA formation, and parametrization of intermolecular forces is needed for accurate predictions of SOA formation.
ISSN:0013-936X
1520-5851
DOI:10.1021/acs.est.5b05512