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DOI	10.5194/acp-20-8103-2020
	Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions
	Li Y.; A. Day D.; Stark H.; L. Jimenez J.; Shiraiwa M.
发表日期	2020
ISSN	1680-7316
起始页码	8103
结束页码	8122
卷号	20 期号:13
英文摘要	Volatility and viscosity are important properties of organic aerosols (OA), affecting aerosol processes such as formation, evolution, and partitioning of OA. Volatility distributions of ambient OA particles have often been measured, while viscosity measurements are scarce. We have previously developed a method to estimate the glass transition temperature of an organic compound containing carbon, hydrogen, and oxygen. Based on analysis of over 2400 organic compounds including oxygenated organic compounds, as well as nitrogen-and sulfur-containing organic compounds, we extend this method to include nitrogen-and sulfur-containing compounds based on elemental composition. In addition, parameterizations are developed to predict as a function of volatility and the atomic oxygen-To-carbon ratio based on a negative correlation between and volatility. This prediction method of T is applied to ambient observations of volatility distributions at 11 field sites. The predicted iT values of OA under dry conditions vary mainly from 290 to 339 K and the predicted viscosities are consistent with the results of ambient particle-phase-state measurements in the southeastern US and the Amazonian rain forest. Reducing the uncertainties in measured volatility distributions would improve predictions of viscosity, especially at low relative humidity. We also predict the of OA components identified via positive matrix factorization of aerosol mass spectrometer (AMS) data. The predicted viscosity of oxidized OA is consistent with previously reported viscosity of secondary organic aerosols (SOA) derived from α-pinene, toluene, isoprene epoxydiol (IEPOX), and diesel fuel. Comparison of the predicted viscosity based on the observed volatility distributions with the viscosity simulated by a chemical transport model implies that missing low volatility compounds in a global model can lead to underestimation of OA viscosity at some sites. The relation between volatility and viscosity can be applied in the molecular corridor or volatility basis set approaches to improve OA simulations in chemical transport models by consideration of effects of particle viscosity in OA formation and evolution. © 2020 American Society of Civil Engineers (ASCE). All rights reserved.
语种	英语
scopus关键词	aerosol formation; organic compound; partitioning; prediction; rainforest; temperature profile; viscosity; Amazonia; United States
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/247655
作者单位	Department of Chemistry, University of California, Irvine, CA 92697-2025, United States; Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO 80309, United States; Department of Chemistry, University of Colorado, Boulder, CO 80309, United States; Aerodyne Research Inc, Billerica, MA 01821, United States
推荐引用方式 GB/T 7714	Li Y.,A. Day D.,Stark H.,et al. Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions[J],2020,20(13).
APA	Li Y.,A. Day D.,Stark H.,L. Jimenez J.,&Shiraiwa M..(2020).Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(13).
MLA	Li Y.,et al."Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.13(2020).