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        <title type="main" level="a">Extraction and characterization methods for microplastics from estuarine and coastal samplings – Example of the 2019 TARA expedition</title>
        <author>
          <persName n="1">
            <forename>Lata</forename>
            <surname>Soccalingame</surname>
            <placeName type="affiliation">Bretagne Sud University, France</placeName>
          </persName>
          <persName n="2">
            <forename>Marie</forename>
            <surname>Notheaux</surname>
            <placeName type="affiliation">Bretagne Sud University, France</placeName>
          </persName>
          <persName n="3">
            <forename>Maialen</forename>
            <surname>Palazot</surname>
            <placeName type="affiliation">Bretagne Sud University, France</placeName>
          </persName>
          <persName n="4">
            <forename>Mikaël</forename>
            <surname>Kedzierski</surname>
            <placeName type="affiliation">Bretagne Sud University, France</placeName>
          </persName>
          <persName n="5">
            <forename>Stéphane</forename>
            <surname>Bruzaud</surname>
            <placeName type="affiliation">Bretagne Sud University, France</placeName>
          </persName>
        </author>
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          <resp>This is a section of <title>Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”</title>(DOI: <idno type="DOI">10.36253/979-12-215-0030-1</idno>) by </resp>
          <name>Laura Bonora, Donatella Carboni, Matteo De Vincenzi, Giorgio Matteucci</name>
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      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Firenze</pubPlace>
        <date when="2022">2022</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-0030-1.52</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">
            <p>Content licence CC BY-NC-SA 4.0</p>
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          <licence source="metadata" target="https://creativecommons.org/publicdomain/zero/1.0/legalcode">
            <p>Metadata licence CC0 1.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>To investigate plastic pollution in rivers, the Tara schooner collected samples from 9 of the main European rivers from May to November 2019. The objectives of the present study are the quantification of the microplastic (MP) contamination and the identification of the chemical nature of microplastics. Thus, extraction methods and automated computer processing for polymer characterization were developed. The three main polymers found were polyethylene (PE), polypropylene (PP) and polystyrene (PS). These results must be compared to the results from other rivers to draw a consistent pattern.</p>
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        <keywords>
          <list>
            <item>Plastic pollution</item>
            <item>Microplastics</item>
            <item>Microplastic extraction</item>
            <item>Infrared spectroscopy</item>
            <item></item>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-0030-1.52<ref target="https://doi.org/10.36253/979-12-215-0030-1.52" /></p>
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          <head>References</head>
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            <bibl>M. Kedzierski, M. Falcou-Pr&amp;#233;fol, M. E. Kerros, M. Henry, M. L. Pedrotti, and S. Bruzaud, “A machine learning algorithm for high throughput identification of FTIR spectra: Application on microplastics collected in the Mediterranean Sea,” Chemosphere, vol. 234, pp. 242–251, 2019.</bibl>
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