Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol

Several methods have been presented in the literature to predict an organic chemical's equilibrium partitioning between the water insoluble organic matter (WIOM) component of aerosol and the gas phase, <i>K</i><sub><i>i</i>,WIOM</sub>, as a function of temper...

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Main Authors: F. Wania, Y. D. Lei, C. Wang, J. P. D. Abbatt, K.-U. Goss
Format: Article
Language:English
Published: Copernicus Publications 2014-12-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/14/13189/2014/acp-14-13189-2014.pdf
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spelling doaj-de34ed29869d440f903af1c2262c99d42020-11-24T21:34:41ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242014-12-011423131891320410.5194/acp-14-13189-2014Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosolF. Wania0Y. D. Lei1C. Wang2J. P. D. Abbatt3K.-U. Goss4Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, CanadaDepartment of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, CanadaDepartment of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, CanadaDepartment of Chemistry, University of Toronto, Toronto, Ontario, CanadaDepartment of Analytical Environmental Chemistry, UFZ-Helmholtz Centre for Environmental Research, Permoserstraße 15, Leipzig, GermanySeveral methods have been presented in the literature to predict an organic chemical's equilibrium partitioning between the water insoluble organic matter (WIOM) component of aerosol and the gas phase, <i>K</i><sub><i>i</i>,WIOM</sub>, as a function of temperature. They include (i) polyparameter linear free energy relationships calibrated with empirical aerosol sorption data, as well as (ii) the solvation models implemented in SPARC and (iii) the quantum-chemical software COSMOtherm, which predict solvation equilibria from molecular structure alone. We demonstrate that these methods can be used to predict <i>K</i><sub><i>i</i>,WIOM</sub> for large numbers of individual molecules implicated in secondary organic aerosol (SOA) formation, including those with multiple functional groups. Although very different in their theoretical foundations, these methods give remarkably consistent results for the products of the reaction of normal alkanes with OH, i.e. their partition coefficients <i>K</i><sub><i>i</i>,WIOM</sub> generally agree within one order of magnitude over a range of more than ten orders of magnitude. This level of agreement is much better than that achieved by different vapour pressure estimation methods that are more commonly used in the SOA community. Also, in contrast to the agreement between vapour pressure estimates, the agreement between the <i>K</i><sub><i>i</i>,WIOM</sub> estimates does not deteriorate with increasing number of functional groups. Furthermore, these partitioning coefficients <i>K</i><sub><i>i</i>,WIOM</sub> predicted SOA mass yields in agreement with those measured in chamber experiments of the oxidation of normal alkanes. If a <i>K</i><sub><i>i</i>,WIOM</sub> prediction method was based on one or more surrogate molecules representing the solvation properties of the mixed OM phase of SOA, the choice of those molecule(s) was found to have a relatively minor effect on the predicted <i>K</i><sub><i>i</i>,WIOM</sub>, as long as the molecule(s) are not very polar. This suggests that a single surrogate molecule, such as 1-octanol or a hypothetical SOA structure proposed by Kalberer et al. (2004), may often be sufficient to represent the WIOM component of the SOA phase, greatly simplifying the prediction. The presented methods could substitute for vapour-pressure-based methods in studies such as the explicit modelling of SOA formation from single precursor molecules in chamber experiments.http://www.atmos-chem-phys.net/14/13189/2014/acp-14-13189-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author F. Wania
Y. D. Lei
C. Wang
J. P. D. Abbatt
K.-U. Goss
spellingShingle F. Wania
Y. D. Lei
C. Wang
J. P. D. Abbatt
K.-U. Goss
Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
Atmospheric Chemistry and Physics
author_facet F. Wania
Y. D. Lei
C. Wang
J. P. D. Abbatt
K.-U. Goss
author_sort F. Wania
title Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
title_short Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
title_full Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
title_fullStr Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
title_full_unstemmed Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
title_sort novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2014-12-01
description Several methods have been presented in the literature to predict an organic chemical's equilibrium partitioning between the water insoluble organic matter (WIOM) component of aerosol and the gas phase, <i>K</i><sub><i>i</i>,WIOM</sub>, as a function of temperature. They include (i) polyparameter linear free energy relationships calibrated with empirical aerosol sorption data, as well as (ii) the solvation models implemented in SPARC and (iii) the quantum-chemical software COSMOtherm, which predict solvation equilibria from molecular structure alone. We demonstrate that these methods can be used to predict <i>K</i><sub><i>i</i>,WIOM</sub> for large numbers of individual molecules implicated in secondary organic aerosol (SOA) formation, including those with multiple functional groups. Although very different in their theoretical foundations, these methods give remarkably consistent results for the products of the reaction of normal alkanes with OH, i.e. their partition coefficients <i>K</i><sub><i>i</i>,WIOM</sub> generally agree within one order of magnitude over a range of more than ten orders of magnitude. This level of agreement is much better than that achieved by different vapour pressure estimation methods that are more commonly used in the SOA community. Also, in contrast to the agreement between vapour pressure estimates, the agreement between the <i>K</i><sub><i>i</i>,WIOM</sub> estimates does not deteriorate with increasing number of functional groups. Furthermore, these partitioning coefficients <i>K</i><sub><i>i</i>,WIOM</sub> predicted SOA mass yields in agreement with those measured in chamber experiments of the oxidation of normal alkanes. If a <i>K</i><sub><i>i</i>,WIOM</sub> prediction method was based on one or more surrogate molecules representing the solvation properties of the mixed OM phase of SOA, the choice of those molecule(s) was found to have a relatively minor effect on the predicted <i>K</i><sub><i>i</i>,WIOM</sub>, as long as the molecule(s) are not very polar. This suggests that a single surrogate molecule, such as 1-octanol or a hypothetical SOA structure proposed by Kalberer et al. (2004), may often be sufficient to represent the WIOM component of the SOA phase, greatly simplifying the prediction. The presented methods could substitute for vapour-pressure-based methods in studies such as the explicit modelling of SOA formation from single precursor molecules in chamber experiments.
url http://www.atmos-chem-phys.net/14/13189/2014/acp-14-13189-2014.pdf
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