<?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>2026-04-14T02:44:27Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.12327/2978" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:20.500.12327/2978</identifier><datestamp>2025-10-22T11:26:13Z</datestamp><setSpec>com_2072_4428</setSpec><setSpec>com_2072_4427</setSpec><setSpec>col_2072_487898</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12327-2978" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12327/2978">
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                  <mods:namePart>Gomez-Galindo, Marisa</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Serra Castelló, Cristina</mods:namePart>
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                  <mods:namePart>Bover-Cid, Sara</mods:namePart>
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                  <mods:namePart>Truchado, Pilar</mods:namePart>
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                  <mods:namePart>Gil, Maria I.</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Allende, Ana</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">other</mods:roleTerm>
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                  <mods:namePart>Indústries Alimentàries</mods:namePart>
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                     <mods:roleTerm type="text">group</mods:roleTerm>
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                  <mods:namePart>Funcionalitat i Seguretat Alimentària</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2025-10-22T11:26:13Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2024-04-27</mods:dateIssued>
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               <mods:identifier type="citation">Gomez-Galindo, Marisa, Cristina Serra-Castelló, Sara Bover‐Cid, Pilar Truchado, Maria I. Gil, and Ana Allende. 2024. “The Gamma concept approach as a tool to predict fresh produce supporting or not the growth of L. Monocytogenes”. Food Microbiology 122 (104554). doi:10.1016/j.fm.2024.104554.</mods:identifier>
               <mods:identifier type="issn">0740-0020</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12327/2978</mods:identifier>
               <mods:identifier type="doi">https://doi.org/10.1016/j.fm.2024.104554</mods:identifier>
               <mods:abstract>Challenge tests are commonly employed to evaluate the growth behavior of L. monocytogenes in food matrices;&#xd;
they are known for being expensive and time-consuming. An alternative could be the use of predictive models to&#xd;
forecast microbial behavior under different conditions. In this study, the growth behavior of L. monocytogenes in&#xd;
different fresh produce was evaluated using a predictive model based on the Gamma concept considering pH,&#xd;
water activity (aw), and temperature as input factors. An extensive literature search resulted in a total of 105&#xd;
research articles selected to collect growth/no growth behavior data of L. monocytogenes. Up to 808&#xd;
L. monocytogenes behavior values and physicochemical characteristics were extracted for different fruits and&#xd;
vegetables. The predictive performance of the model as a tool for identifying the produce commodities supporting&#xd;
the growth of L. monocytogenes was proved by comparing with the experimental data collected from the&#xd;
literature. The model provided satisfactory predictions on the behavior of L. monocytogenes in vegetables (>80%&#xd;
agreement with experimental observations). For leafy greens, a 90% agreement was achieved. In contrast, the&#xd;
performance of the Gamma model was less satisfactory for fruits, as it tends to overestimate the potential of acid&#xd;
commodities to inhibit the growth of L. monocytogenes.</mods:abstract>
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                  <mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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               <mods:accessCondition type="useAndReproduction">Attribution-NonCommercial 4.0 International</mods:accessCondition>
               <mods:titleInfo>
                  <mods:title>The Gamma concept approach as a tool to predict fresh produce supporting or not the growth of L. monocytogenes</mods:title>
               </mods:titleInfo>
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