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               <dc:title>The Gamma concept approach as a tool to predict fresh produce supporting or not the growth of L. monocytogenes</dc:title>
               <dc:creator>Gomez-Galindo, Marisa</dc:creator>
               <dc:creator>Serra Castelló, Cristina</dc:creator>
               <dc:creator>Bover-Cid, Sara</dc:creator>
               <dc:creator>Truchado, Pilar</dc:creator>
               <dc:creator>Gil, Maria I.</dc:creator>
               <dc:creator>Allende, Ana</dc:creator>
               <dc:contributor>Indústries Alimentàries</dc:contributor>
               <dc:contributor>Funcionalitat i Seguretat Alimentària</dc:contributor>
               <dc:description>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.</dc:description>
               <dc:date>2025-10-22T11:26:13Z</dc:date>
               <dc:date>2025-10-22T11:26:13Z</dc:date>
               <dc:date>2024-04-27</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:identifier>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.</dc:identifier>
               <dc:identifier>0740-0020</dc:identifier>
               <dc:identifier>http://hdl.handle.net/20.500.12327/2978</dc:identifier>
               <dc:identifier>https://doi.org/10.1016/j.fm.2024.104554</dc:identifier>
               <dc:language>eng</dc:language>
               <dc:relation>Food Microbiology</dc:relation>
               <dc:relation>MICINN/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2022-141708OB-I00/ES/ /</dc:relation>
               <dc:relation>FEDER/ / /EU/ /</dc:relation>
               <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights>
               <dc:publisher>Elsevier</dc:publisher>
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