2026-04-18T04:14:29Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/29782025-10-22T11:26:13Zcom_2072_4428com_2072_4427col_2072_487898

The Gamma concept approach as a tool to predict fresh produce supporting or not the growth of L. monocytogenes Gomez-Galindo, Marisa Serra Castelló, Cristina Bover-Cid, Sara Truchado, Pilar Gil, Maria I. Allende, Ana Indústries Alimentàries Funcionalitat i Seguretat Alimentària Challenge tests are commonly employed to evaluate the growth behavior of L. monocytogenes in food matrices; they are known for being expensive and time-consuming. An alternative could be the use of predictive models to forecast microbial behavior under different conditions. In this study, the growth behavior of L. monocytogenes in different fresh produce was evaluated using a predictive model based on the Gamma concept considering pH, water activity (aw), and temperature as input factors. An extensive literature search resulted in a total of 105 research articles selected to collect growth/no growth behavior data of L. monocytogenes. Up to 808 L. monocytogenes behavior values and physicochemical characteristics were extracted for different fruits and vegetables. The predictive performance of the model as a tool for identifying the produce commodities supporting the growth of L. monocytogenes was proved by comparing with the experimental data collected from the literature. The model provided satisfactory predictions on the behavior of L. monocytogenes in vegetables (>80% agreement with experimental observations). For leafy greens, a 90% agreement was achieved. In contrast, the performance of the Gamma model was less satisfactory for fruits, as it tends to overestimate the potential of acid commodities to inhibit the growth of L. monocytogenes. 2025-10-22T11:26:13Z 2025-10-22T11:26:13Z 2025-10-22T11:26:13Z 2024-04-27 info:eu-repo/semantics/article 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. 0740-0020 http://hdl.handle.net/20.500.12327/2978 https://doi.org/10.1016/j.fm.2024.104554 eng Food Microbiology MICINN/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2022-141708OB-I00/ES/ / FEDER/ / /EU/ / http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial 4.0 International Elsevier