<?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>2026-04-18T04:27:46Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.12327/2978" metadataPrefix="marc">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><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Gomez-Galindo, Marisa</subfield>
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      <subfield code="a">Serra Castelló, Cristina</subfield>
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      <subfield code="a">Bover-Cid, Sara</subfield>
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      <subfield code="a">Truchado, Pilar</subfield>
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      <subfield code="a">Gil, Maria I.</subfield>
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      <subfield code="a">Allende, Ana</subfield>
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      <subfield code="c">2024-04-27</subfield>
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      <subfield code="a">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.</subfield>
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      <subfield code="a">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.</subfield>
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      <subfield code="a">0740-0020</subfield>
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      <subfield code="a">http://hdl.handle.net/20.500.12327/2978</subfield>
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   <datafield ind1="8" ind2=" " tag="024">
      <subfield code="a">https://doi.org/10.1016/j.fm.2024.104554</subfield>
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   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">The Gamma concept approach as a tool to predict fresh produce supporting or not the growth of L. monocytogenes</subfield>
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