<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">GMD</journal-id>
<journal-title-group>
<journal-title>Geoscientific Model Development</journal-title>
<abbrev-journal-title abbrev-type="publisher">GMD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Geosci. Model Dev.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1991-9603</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/gmd-3-635-2010</article-id>
<title-group>
<article-title>An analytical solution to calculate bulk mole fractions for any number of components in aerosol droplets after considering partitioning to a surface layer</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Topping</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>National Centre for Atmospheric Science, NCAS, University of Leeds, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Centre for Atmospheric Science, University of Manchester, Manchester, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>04</day>
<month>11</month>
<year>2010</year>
</pub-date>
<volume>3</volume>
<issue>2</issue>
<fpage>635</fpage>
<lpage>642</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2010 D. Topping</copyright-statement>
<copyright-year>2010</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://gmd.copernicus.org/articles/3/635/2010/gmd-3-635-2010.html">This article is available from https://gmd.copernicus.org/articles/3/635/2010/gmd-3-635-2010.html</self-uri>
<self-uri xlink:href="https://gmd.copernicus.org/articles/3/635/2010/gmd-3-635-2010.pdf">The full text article is available as a PDF file from https://gmd.copernicus.org/articles/3/635/2010/gmd-3-635-2010.pdf</self-uri>
<abstract>
<p>Calculating the equilibrium composition of atmospheric aerosol particles, using all variations of Köhler theory,
has largely assumed that the total solute concentrations define both the water activity and surface tension.  Recently however,
bulk to surface phase partitioning has been postulated as a process which significantly alters the predicted point of activation.
In this paper, an analytical solution to calculate the removal of material from a bulk to a surface layer in aerosol particles has
been derived using a well established and validated surface tension framework. The applicability to an unlimited number of components
is possible via reliance on data from each binary system. Whilst assumptions regarding behaviour at the surface layer have been made
to facilitate derivation, it is proposed that the framework presented can capture the overall impact of bulk-surface partitioning.
Demonstrations of the equations for two and five component mixtures are given while comparisons are made with more detailed
frameworks capable at modelling ternary systems at higher levels of complexity. Predictions made by the model across a range
of surface active properties should be tested against measurements. Indeed, reccomendations are given for experimental
validation and to assess sensitivities to accuracy and required level of complexity within large scale frameworks.
Importantly, the computational efficiency of using the solution presented in this paper is roughly a factor of 20 less
than a similar iterative approach, a comparison with highly coupled approaches not available beyond a 3 component system.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple">Booth, A. M., Topping, D. O., McFiggans, G., and Percival, C. J.: Simple model for prediction of surface tension of mixed surfactant solutions, PCCP., 11(36), 8021–8028, 2009.</mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple">Fainerman, V. B., Miller, R., and Aksenenko, E. V.: Simple model for prediction of surface tension of mixed surfactant solutions, Adv. Col. Int. Sci., 96(1–3), 339–359, 2002.</mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple">Fainerman, V. B. and Miller, R.: Simple method to Estimate Surface tension of Mixed Surfactant Solutions, J. Phys. Chem. B, 105, 11432–11438, 2001a.</mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple">Fainerman, V. B., Wustneck, R., and Miller, R.: Surface tension of mixed surfactant solutions, Tenside Surfact Det., 38(4), 224–229, 2001b.</mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple">Hallquist, M., Wenger, J. C., Baltensperger, U., Rudich, Y., Simpson, D., Claeys, M., Dommen, J., Donahue, N. M., George, C., Goldstein, A. H., Hamilton, J. F., Herrmann, H., Hoffmann, T., Iinuma, Y., Jang, M., Jenkin, M. E., Jimenez, J. L., Kiendler-Scharr, A., Maenhaut, W., McFiggans, G., Mentel, Th. F., Monod, A., Prévôt, A. S. H., Seinfeld, J. H., Surratt, J. D., Szmigielski, R., and Wildt, J.: The formation, properties and impact of secondary organic aerosol: current and emerging issues, Atmos. Chem. Phys., 9, 5155–5236, https://doi.org/10.5194/acp-9-5155-2009, 2009.</mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple">Hu, Y. F. and Lee, H.: Prediction of the surface tension of mixed electrolyte solutions based on the equation of Patwardhan and Kumar and the fundamental Butler equations, J. Col. Int. Sci.,269(2), 442–448, 2004.</mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple">Kokkola, H., Sorjamaa, R., Peraniemi, A., Raatikainen, T., and Laaksonen, A.: Cloud formation of particles containing humic-like substances, Geophys. Res. Lett., 33, L10816, https://doi.org/10.1029/2006GL026107, 2006.</mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple">Laaksonen, A., McGraw, R., and Vehkamaki, H.: Liquid-drop formalism and free-energy surfaces in binary homogeneous nucleation theory, J. Chem. Phys., 111, 2019–2027, 1999.</mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple">Li, Z., Williams, A. L., and Rood, M. J.: Influence of soluble surfactant properties on the activation of aerosol particles containing inorganic solute, J. Atmos. Sci., 55, 1859–1866, 1998.</mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple">Li, Z. B. and Lu, B. C. Y.: Surface tension of aqueous electrolyte solutions at high concentrations representation and prediction, Chem. Eng. Sci., 56(8), 2879–2888, 2001.</mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple">McFiggans, G., Topping, D., and Barley, M.: The sensitivity of Secondary Organic Aerosol component partitioning to the predictions of component properties: part 1; a systematic evaluation of available predictive techniques, accepted, Atmos. Chem. Phys. Discuss., 2010.</mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple">Raatikainen, T. and Laaksonen, A.: A simplified treatment of surfactant effects on cloud drop activation, Geosci. Model Dev. Discuss., 3, 1139–1159, https://doi.org/10.5194/gmdd-3-1139-2010, 2010.</mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple">Shulman, M. L., Jacobson, M. C., Charlson, R. J., Synovec, R. E., and Young, T. E.: Dissolution behavior and surface tension effects of organic compounds in nucleating cloud drops, Geophys. Res. Lett., 23, 277–280, 1996.</mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple">Sorjamaa, R., Svenningsson, B., Raatikainen, T., Henning, S., Bilde, M., and Laaksonen, A.: The role of surfactants in Köhler theory reconsidered, Atmos. Chem. Phys., 4, 2107–2117, https://doi.org/10.5194/acp-4-2107-2004, 2004.</mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple">Topping, D. O., McFiggans, G. B., and Coe, H.: A curved multi-component aerosol hygroscopicity model framework: 2-Including organics, Atmos. Chem. Phys., 5, 1223–1242, 2005.</mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple">Topping, D. O., McFiggans, G. B., Kiss, G., Varga, Z., Facchini, M. C., Decesari, S., and Mircea, M.: Surface tensions of multi-component mixed inorganic/organic aqueous systems of atmospheric significance: measurements, model predictions and importance for cloud activation predictions, Atmos. Chem. Phys., 7, 2371–2398, https://doi.org/10.5194/acp-7-2371-2007, 2007.</mixed-citation>
</ref>
</ref-list>
</back>
</article>