Not just variability and uncertainty; the relevance of chance for the survival of microbial cells to stress. (December 2021)

• Record Type: Journal Article
• Authors: Garre, Alberto; den Besten, Heidy M.W.; Fernandez, Pablo S.; Zwietering, Marcel H.
• Is Part Of: Trends in food science & technology. Volume 118:Part B(2021)
• Page Start: 799
• Page End: 807
• Publication Date: 2021-12
• Subjects: Quantitative microbiology -- Survival -- Risk analysis -- Food safety -- Pasteurization -- Stochastic model; Food industry and trade -- Periodicals; Food -- Biotechnology -- Periodicals; 664.005
• DOI: 10.1016/j.tifs.2021.10.033
• Languages: English
• ISSNs: 0924-2244

Abstract

Abstract: Background: The definition of realistic models for microbial risk assessment (MRA) requires the inclusion of variability as it is part of the microbial response to stress. Most studies are based on the hypothesis that the variation in the microbial response observed under laboratory conditions is due only to two sources: variability (e.g. differences between cells) and uncertainty (e.g. experimental error); disregarding the impact of chance. In this study, we perform a critical review of this hypothesis, evidencing it may be unrealistic because chance can be more relevant than variability and uncertainty in some scenarios. Scope and approach: The impact of variability, uncertainty and chance for microbial survival is revised. Chance is identified as a possible relevant factor, different to variability and uncertainty because it is an inherent part of the system that is not associated with any biological mechanism. We derive probability distributions describing the impact of chance on microbial survival based on mechanistic hypotheses. These models are used to simulate inactivation experiments using a Monte Carlo algorithm. Key findings and conclusions: Our analytical and numerical results demonstrate the relevance of chance for microbial survival and, more generally, for MRA. When the probability of one cell surviving the treatment is low, chance becomes more relevant than variability or uncertainty. Chance can also introduce non-linearities in the survivor curves (fanning and tailing) that are usually associated with uncertainty and/or variability. Therefore, chance is a relevant factor that should be considered in MRA besides variability and uncertainty. Highlights: Just variability and uncertainty is not enough; chance is also relevant for MRA. Our mechanistic models can predict the impact of chance on microbial survival. Chance is very relevant when the probability of cell survival is low. Chance can introduce non-linear effects (fanning and tailing) in the survivor curves. Chance is an inherent and relevant factor that should be considered in MRA.