Accurate Prediction of Organic Aerosol Evaporation Using Kinetic Multilayer Modeling and the Stokes-Einstein Equation

Stephen Ingram, Grazia Rovelli, Young Chul Song, David Topping, Cari S. Dutcher, Shihao Liu, Lucy Nandy, Manabu Shiraiwa, Jonathan P. Reid

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Organic aerosol can adopt a wide range of viscosities, from liquid to glass, depending on the local humidity. In highly viscous droplets, the evaporation rates of organic components are suppressed to varying degrees, yet water evaporation remains fast. Here, we examine the coevaporation of semivolatile organic compounds (SVOCs), along with their solvating water, from aerosol particles levitated in a humidity-controlled environment. To better replicate the composition of secondary aerosol, nonvolatile organics were also present, creating a three-component diffusion problem. Kinetic modeling reproduced the evaporation accurately when the SVOCs were assumed to obey the Stokes-Einstein relation, and water was not. Crucially, our methodology uses previously collected data to constrain the time-dependent viscosity, as well as water diffusion coefficients, allowing it to be predictive rather than postdictive. Throughout the study, evaporation rates were found to decrease as SVOCs deplete from the particle, suggesting path function type behavior.

Original languageEnglish (US)
Pages (from-to)3444-3456
Number of pages13
JournalJournal of Physical Chemistry A
Volume125
Issue number16
DOIs
StatePublished - Apr 29 2021

Bibliographical note

Publisher Copyright:
© 2021 American Chemical Society. All rights reserved.

Fingerprint

Dive into the research topics of 'Accurate Prediction of Organic Aerosol Evaporation Using Kinetic Multilayer Modeling and the Stokes-Einstein Equation'. Together they form a unique fingerprint.

Cite this