Meat Sci. 2015 Feb;100:171-8. doi: 10.1016/j.meatsci.2014.10.016.
Data relative to in situ Listeria monocytogenes inactivation in fermented sausages were collected from 13 individual studies found in the literature. Inactivation rates were extrapolated and used to develop a predictive model to evaluate the relative effects of pH, water activity (a(w)) and temperature on L. monocytogenes fate during fermentation and ripening. Temperature explained ca. 60% of the data variability, while pH and a(w) only a small part. Temperature alone may not be sufficient to cause pathogen's inactivation, but inactivation rate is dominated by temperature when pH and a(w) are in the range which prevent L. monocytogenes growth. A predictive model based on two Arrhenius equations (ln[inactivation rate]=-25.71-[-0.6829 / (8.314 × T)] for fermentation; and ln[inactivation rate]=-44.86-[-1.219/(8.314 × T)] for ripening)was developed. The model can be used to quantify the effect of temperature and/or time changes on fermented sausage safety. The advantages and limitations of the model are discussed.
从文献中收集了 13 项关于发酵香肠中李斯特菌原位失活动力学的研究数据。对失活动率进行了外推,并开发了一个预测模型,以评估 pH 值、水分活度(a(w))和温度对发酵和成熟过程中李斯特菌命运的相对影响。温度解释了大约 60%的数据变异性,而 pH 值和 a(w)只占很小一部分。仅温度可能不足以导致病原体失活,但当 pH 值和 a(w)处于阻止李斯特菌生长的范围内时,失活率主要由温度决定。基于两个阿伦尼乌斯方程(发酵过程中的 ln[失活率]=-25.71-[-0.6829 / (8.314 × T)];成熟过程中的 ln[失活率]=-44.86-[-1.219/(8.314 × T)])建立了一个预测模型。该模型可用于量化温度和/或时间变化对发酵香肠安全性的影响。讨论了该模型的优缺点。