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<front>
<journal-meta>
<journal-id journal-id-type="publisher">AMTD</journal-id>
<journal-title-group>
<journal-title>Atmospheric Measurement Techniques Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">AMTD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1867-8610</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/amt-2017-303</article-id>
<title-group>
<article-title>Physicochemical analysis of individual atmospheric fine particles
based on effective surface-enhanced Raman spectroscopy</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sun</surname>
<given-names>Zhenli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Duan</surname>
<given-names>Fengkui</given-names>
<ext-link>https://orcid.org/0000-0002-5501-6048</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>He</surname>
<given-names>Kebin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Shuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Liu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ma</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Beijing 100084, China</addr-line>
</aff>
<funding-group>
<award-group id="gs1">
<funding-source></funding-source>
<award-id>2014BAC22B01</award-id>
<award-id>2016YFC0202700</award-id>
<award-id>2017YFC0211601</award-id>
</award-group>
<award-group id="gs2">
<funding-source></funding-source>
<award-id>81571130090</award-id>
</award-group>
</funding-group>
<pub-date pub-type="epub">
<day>13</day>
<month>11</month>
<year>2017</year>
</pub-date>
<volume>2017</volume>
<fpage>1</fpage>
<lpage>13</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2017 Zhenli Sun et al.</copyright-statement>
<copyright-year>2017</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://amt.copernicus.org/preprints/amt-2017-303/">This article is available from https://amt.copernicus.org/preprints/amt-2017-303/</self-uri>
<self-uri xlink:href="https://amt.copernicus.org/preprints/amt-2017-303/amt-2017-303.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/preprints/amt-2017-303/amt-2017-303.pdf</self-uri>
<abstract>
<p>Fine particle associated with haze pollution threatens the health of more than 400 million people in China. It is therefore of great importance to thoroughly investigate and understand its composition. To determine the physicochemical properties in atmospheric fine particles at the micrometer level, we described a sensitive and feasible surface-enhanced Raman scattering (SERS) method using Ag foil as a substrate. This novel method enhanced the Raman signal intensities up to 10,000 a.u. for ν(NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;&amp;minus;&lt;/sup&gt;) in fine particles with an enhancement factor of at least 56. The SERS effect of Ag foil was further studied experimentally and theoretically and found to have an enhancement factor of the order of ~&amp;thinsp;104. Size-fractionated real particle samples with aerodynamic diameters of 0.4&amp;ndash;2.5&amp;thinsp;µm were successfully collected on a heavy haze day, allowing ready observation of morphology and identification of chemical components, such as soot, nitrates, and sulfates. These results suggest that the Ag foil based SERS technique can be effectively used to determine the microscopic characteristics of individual fine particles, which will help to understand haze formation mechanisms and formulate governance policies.</p>
</abstract>
<counts><page-count count="13"/></counts>
</article-meta>
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