Modeling Stochastic Variability in the Numbers of Surviving Salmonella Enterica, Enterohemorrhagic Escherichia Coli, and Listeria Monocytogenes Cells at the Single-Cell Level in a Desiccated Environment

Overview

Journal Appl Environ Microbiol

Specialties Environmental Health
Microbiology

Date 2016 Dec 13

PMID 27940547

Citations 4

Authors

Kento Koyama

Hidekazu Hokunan

Mayumi Hasegawa

Shuso Kawamura

Shigenobu Koseki

Affiliations

Soon will be listed here.

Abstract

Importance: We developed a model to enable the quantitative assessment of bacterial survivors of inactivation procedures because the presence of even one bacterium can cause foodborne disease. The results demonstrate that the variability in the numbers of surviving bacteria was described as a Poisson distribution by use of the model developed by use of the Poisson process. Description of the number of surviving bacteria as a probability distribution rather than as the point estimates used in a deterministic approach can provide a more realistic estimation of risk. The probability model should be useful for estimating the quantitative risk of bacterial survival during inactivation.

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