Aspridou Zafiro, Koutsoumanis Konstantinos
Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Food Res Int. 2020 Nov;137:109579. doi: 10.1016/j.foodres.2020.109579. Epub 2020 Jul 23.
Phenotypic heterogeneity seems to be an important component leading to biological individuality and is of great importance in the case of microbial inactivation. Bacterial cells are characterized by their own resistance to stresses. This inherent stochasticity is reflected in microbial survival curve which, in this context, can be considered as cumulative probability distribution of lethal events. The objective of the present study was to present an overview on the assessment and quantification of variability in microbial inactivation originating from single cells and discuss this heterogeneity in the context of predicting microbial behavior and Risk assessment studies. The detailed knowledge of the distribution of the single cells' inactivation times can be the basis for stochastic inactivation models which, in turn, may be employed in a risk - based food safety approach.
表型异质性似乎是导致生物个体性的一个重要组成部分，在微生物灭活的情况下具有重要意义。细菌细胞的特点是它们自身对压力的抗性。这种内在的随机性反映在微生物存活曲线上，在这种情况下，存活曲线可被视为致死事件的累积概率分布。本研究的目的是概述源于单细胞的微生物灭活变异性的评估和量化，并在预测微生物行为和风险评估研究的背景下讨论这种异质性。单细胞失活时间分布的详细知识可以作为随机失活模型的基础，而随机失活模型反过来可用于基于风险的食品安全方法。
