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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>Journal of Food and Nutrition Research</journalTitle>
    <eissn>2333-1240</eissn>
    <publicationDate>2024-04-24</publicationDate>
    <volume>12</volume>
    <issue>4</issue>
    <startPage>216</startPage>
    <endPage>227</endPage>
    <doi>10.12691/jfnr-12-4-6</doi>
    <publisherRecordId>JFNR20241246</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">GC-MS-O Coupled with PLS-DA for Classification and Authentication of Eleven Colorful Pomelo Varieties from China</title>
    <authors>
      <author>
        <name>Ge Gao</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Ziyan Zhang</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Shipeng Gao</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Jing Chen</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Changlin Cheng</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Xinxing Li</name>
        <affiliationId>2</affiliationId>
      </author>
      <author>
        <name>Lin Chen</name>
        <affiliationId>3</affiliationId>
      </author>
      <author>
        <name>Bo Li</name>
        <email>address: libo@caep.org.cn</email>
        <affiliationId>4</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">College of Logistics, Beijing Wuzi University, Beijing 101149, China</affiliationName>
      <affiliationName affiliationId="2">College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China</affiliationName>
      <affiliationName affiliationId="3">China International Engineering Consulting Corporation, Beijing 100048, China</affiliationName>
      <affiliationName affiliationId="4">State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100043, China</affiliationName>
    </affiliationsList>
    <abstract language="eng">To differentiate eleven colorful pomelo varieties, which came from the main producing area of four geographical province in China, physicochemical properties and sensory evaluation was studied. Headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry and olfactometry (GC-MS-O) was used to determinate and characterize volatile components. Olefins, aldehydes, alcohols and ketones represented the most abundant volatile compounds in all varieties of colorful pomelo juices. 38 aroma-active compounds were perceived by the trained panel of judges by using detection frequency analysis method (DFA). Partial least squares-discriminant analysis (PLS-DA) combining DFA analysis was applied to distinguish four main origins of the eleven colorful pomelo varieties from China.</abstract>
    <fullTextUrl format="pdf">https://pubs.sciepub.com/jfnr/12/4/6/jfnr-12-4-6.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>geographical identification</keyword>
      <keyword>colorful pomelo</keyword>
      <keyword>GC-MS</keyword>
      <keyword>PLS-DA</keyword>
    </keywords>
  </record>
</records>