<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T04:24:19Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.12327/3275" metadataPrefix="didl">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:20.500.12327/3275</identifier><datestamp>2025-10-22T11:34:34Z</datestamp><setSpec>com_2072_4428</setSpec><setSpec>com_2072_4427</setSpec><setSpec>col_2072_487898</setSpec></header><metadata><d:DIDL xmlns:d="urn:mpeg:mpeg21:2002:02-DIDL-NS" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="urn:mpeg:mpeg21:2002:02-DIDL-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/did/didl.xsd">
   <d:DIDLInfo>
      <dcterms:created xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/dcterms.xsd">2025-10-22T11:34:34Z</dcterms:created>
   </d:DIDLInfo>
   <d:Item id="hdl_20.500.12327_3275">
      <d:Descriptor>
         <d:Statement mimeType="application/xml; charset=utf-8">
            <dii:Identifier xmlns:dii="urn:mpeg:mpeg21:2002:01-DII-NS" xsi:schemaLocation="urn:mpeg:mpeg21:2002:01-DII-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/dii/dii.xsd">urn:hdl:20.500.12327/3275</dii:Identifier>
         </d:Statement>
      </d:Descriptor>
      <d:Descriptor>
         <d:Statement mimeType="application/xml; charset=utf-8">
            <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
               <dc:title>Meeting the challenge of varietal and geographical authentication of hazelnuts through lipid metabolite fingerprinting</dc:title>
               <dc:creator>Torres-Cobos, B.</dc:creator>
               <dc:creator>Nicotra, S.B.</dc:creator>
               <dc:creator>Rovira, Merce</dc:creator>
               <dc:creator>Romero, Agusti</dc:creator>
               <dc:creator>Guardiola, F.</dc:creator>
               <dc:creator>Tres, A.</dc:creator>
               <dc:creator>Vichi, S.</dc:creator>
               <dc:contributor>Producció Vegetal</dc:contributor>
               <dc:contributor>Fructicultura</dc:contributor>
               <dc:description>Hazelnuts are high-quality products with significant economic importance in many European countries. Their&#xd;
market price depends on their qualitative characteristics, which are driven by cultivar and geographical origin,&#xd;
making hazelnuts susceptible to fraud. This study systematically compared two lipidomic fingerprinting strategies for the simultaneous authentication of hazelnut cultivar and provenance, based on the analysis of the&#xd;
unsaponifiable fraction (UF) and triacylglycerol (TAG) profiles by gas chromatography–mass spectrometry&#xd;
coupled with chemometrics. PLS-DA classification models were developed using a large sample set with high&#xd;
natural variability (n = 309) to discriminate hazelnuts by cultivar and origin. External validation results&#xd;
demonstrated the suitability of the UF fingerprint as a hazelnut authentication tool, both tested models showing a&#xd;
high efficiency (>94 %). The correct classification rate of the TAG fingerprinting method was lower (>80 %), but&#xd;
due to its faster analysis time, it is recommended as a complementary screening tool to UF fingerprinting.</dc:description>
               <dc:date>2025-10-22T11:34:34Z</dc:date>
               <dc:date>2025-10-22T11:34:34Z</dc:date>
               <dc:date>2024-09-10</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:identifier>Torres-Cobos, B., S.B. Nicotra, M. Rovira, A. Romero, F. Guardiola, A. Tres, and S. Vichi. 2024. “Meeting the Challenge of Varietal and Geographical Authentication of Hazelnuts Through Lipid Metabolite Fingerprinting.” Food Chemistry, 463 (3): 141203. doi: 10.1016/j.foodchem.2024.141203</dc:identifier>
               <dc:identifier>0308-8146</dc:identifier>
               <dc:identifier>http://hdl.handle.net/20.500.12327/3275</dc:identifier>
               <dc:identifier>https://doi.org/10.1016/j.foodchem.2024.141203</dc:identifier>
               <dc:language>eng</dc:language>
               <dc:relation>Food Chemistry</dc:relation>
               <dc:relation>MICINN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/CEX2021-001234-M/ES/ /</dc:relation>
               <dc:relation>FEDER/ / /EU/ /</dc:relation>
               <dc:relation>MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2020-117701RB-I00/ES/Desarrollo de herramientas de detección de fraudes en frutos secos españoles con alto riesgo de falsificación/TRACENUTS</dc:relation>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
               <dc:publisher>Elsevier</dc:publisher>
            </oai_dc:dc>
         </d:Statement>
      </d:Descriptor>
   </d:Item>
</d:DIDL></metadata></record></GetRecord></OAI-PMH>