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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</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/acp-13-5907-2013</article-id>
<title-group>
<article-title>A functional group oxidation model (FGOM) for SOA formation and aging</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>X.</given-names>
<ext-link>https://orcid.org/0000-0003-1548-8021</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Seinfeld</surname>
<given-names>J. H.</given-names>
<ext-link>https://orcid.org/0000-0003-1344-4068</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>18</day>
<month>06</month>
<year>2013</year>
</pub-date>
<volume>13</volume>
<issue>12</issue>
<fpage>5907</fpage>
<lpage>5926</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 X. Zhang</copyright-statement>
<copyright-year>2013</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://acp.copernicus.org/articles/13/5907/2013/acp-13-5907-2013.html">This article is available from https://acp.copernicus.org/articles/13/5907/2013/acp-13-5907-2013.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/13/5907/2013/acp-13-5907-2013.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/13/5907/2013/acp-13-5907-2013.pdf</self-uri>
<abstract>
<p>Secondary organic aerosol (SOA) formation from a volatile organic compound
(VOC) involves multiple generations of oxidation that include
functionalization and fragmentation of the parent carbon backbone and
likely particle-phase oxidation and/or accretion reactions. Despite the
typical complexity of the detailed molecular mechanism of SOA formation and
aging, a relatively small number of functional groups characterize the
oxidized molecules that constitute SOA. Given the carbon number and set of
functional groups, the volatility of the molecule can be estimated. We
present here a functional group oxidation model (FGOM) that represents the
process of SOA formation and aging. The FGOM contains a set of parameters
that are to be determined by fitting of the model to laboratory chamber data:
total organic aerosol concentration, and O : C and H : C atomic ratios.
The sensitivity of the model prediction to variation of the adjustable
parameters allows one to assess the relative importance of various pathways
involved in SOA formation. An analysis of SOA formation from the high- and
low-NO&lt;sub&gt;x&lt;/sub&gt; photooxidation of four C&lt;sub&gt;12&lt;/sub&gt; alkanes (n-dodecane,
2-methylundecane, hexylcyclohexane, and cyclododecane) using the FGOM is
presented, and comparison with the statistical oxidation model (SOM) of Cappa
et al. (2013) is discussed.</p>
</abstract>
<counts><page-count count="20"/></counts>
</article-meta>
</front>
<body/>
<back>
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