Departamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Paseo Alfonso XIII, 48, 30203, Cartagena, Spain.
Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Campus Universitario de Espinardo, E-30100, Murcia, Spain.
Food Microbiol. 2019 Dec;84:103238. doi: 10.1016/j.fm.2019.06.002. Epub 2019 Jun 4.
Modelling of stress acclimation induced by thermal inactivation of Listeria monocytogenes under dynamic conditions is analyzed in this work. A mathematical model that separates the effect of the instantaneous temperature from the one of stress acclimation, was used. The model was trained using isothermal inactivation experiments, and one biphasic dynamic treatment with a heating rate of 1 °C/min and a holding phase of 60 °C. These experiments were performed in laboratory media (Tryptic Soy Broth; TSB). The model parameters estimated through these experiments (D=12.87±0.82min, z=4.58±0.04°C, a=0.11±0.01min, E=0.50±0.01°C and c=1.23±0.03) were successfully used to predict the microbial inactivation for another seven inactivation profiles, with and without a holding phase. Moreover, similar experiments were performed using milk as heating media, obtaining a good agreement between the model predictions and the empirical observations. The results of this study are compatible with the hypothesis that L. monocytogenes is able to develop a physiological response during dynamic treatments that increases its thermal resistance. Also, that the model used can be used to predict microbial inactivation of this microorganism taking into consideration stress acclimation.
本工作分析了在动态条件下通过热失活李斯特菌(Listeria monocytogenes)诱导应激适应的建模。使用了一种将瞬时温度效应与应激适应效应分开的数学模型。该模型通过等温失活实验和一个加热速率为 1°C/min 且保持阶段为 60°C 的两相动态处理进行了训练。这些实验是在实验室培养基(大豆胰蛋白酶肉汤;TSB)中进行的。通过这些实验估计的模型参数(D=12.87±0.82min,z=4.58±0.04°C,a=0.11±0.01min,E=0.50±0.01°C 和 c=1.23±0.03)成功用于预测另外七个带有和不带有保持阶段的失活动力学曲线。此外,还使用牛奶作为加热介质进行了类似的实验,模型预测与经验观察之间具有良好的一致性。这项研究的结果与李斯特菌在动态处理过程中能够发展出一种增加其热抗性的生理反应的假设是一致的。此外,所使用的模型可以用于预测该微生物的微生物失活,同时考虑到应激适应。