Modelling the Effect of Salt Concentration on the Fate of <i>Listeria monocytogenes</i> Isolated from Costa Rican Fresh Cheeses

• Main Authors: Guiomar D. Posada-Izquierdo, Beatriz Mazón-Villegas, Mauricio Redondo-Solano, Alejandra Huete-Soto, Diana Víquez-Barrantes, Antonio Valero, Paula Fallas-Jiménez, Rosa María García-Gimeno
• Format: Article
• Language: English
• Published: MDPI AG 2021-07-01
• Series: Foods
• Subjects: artisanal fresh cheese; predictive microbiology; microHibro; <i>Listeria monocytogenes</i>; salt concentration; validation
• Online Access: https://www.mdpi.com/2304-8158/10/8/1722

“Turrialba cheese” is a Costa Rican fresh cheese highly appreciated due to its sensory characteristics and artisanal production. As a ready-to-eat dairy product, its formulation could support <i>Listeria monocytogenes</i> growth. <i>L. monocytogenes</i> was isolated from 14.06% of the samples and the pathogen was able to grow under all tested conditions. Due to the increasing demand for low-salt products, the objective of this study was to determine the effect of salt concentration on the growth of pathogen isolates obtained from local cheese. Products from retail outlets in Costa Rica were analyzed for <i>L. monocytogenes</i>. These isolates were used to determine growth at 4 °C for different salt concentration (0.5–5.2%). Kinetic curves were built and primary and secondary models developed. Finally, a validation study was performed using literature data. The R² and Standard Error of fit of primary models were ranked from 0.964–0.993, and 0.197–0.443, respectively. An inverse relationship was observed between growth rate and salt concentration. A secondary model was obtained, with R² = 0.962. The model was validated, and all values were <i>B_f</i> > 1, thus providing fail-safe estimations. These data were added to the free and easy-to-use predictive microbiology software “microHibro” which is used by food producers and regulators to assist in decision-making.