We investigated a bacterial sample preparation procedure for single-cell studies. In the
present study, we examined whether single bacterial cells obtained via 10-fold dilution …

The estimation of the concentration of microorganisms in a sample is crucial for food
microbiology. For instance, it is essential for prevalence studies, challenge tests (growth …

Despite effective inactivation procedures, small numbers of bacterial cells may still remain in
food samples. The risk that bacteria will survive these procedures has not been estimated …

A direct microscopic time-lapse method, using appropriate staining for cell viability in a
confocal scanning laser microscope, was used for the direct assessment of Salmonella …

Our ability to predict the lag (λ) prior to growth of foodborne pathogens is limited by our lack
of understanding of the physiological changes taking place in the individual cell during the …

Highlights•Development of stochastic modeling technique for bacterial inactivation is
reviewed.•Variability in survival cell numbers during inactivation process is described as …

Despite the development of numerous predictive microbial inactivation models, a model
focusing on the variability in time to inactivation for a bacterial population has not been …

Kinetic models performing point estimation are effective in predicting the bacterial behavior.
However, the large variation of bacterial behavior appearing in a small number of cells, ie …

To develop mathematical models describing lag times of individual bacterial cells (τ),
experimental τ data were fitted to a variety of continuous distributions using BestFit. Six …

A modified Microtiter count method was designed to assess viable cell counts in a rapid,
easy, and accurate way. A Spiral plate method was used for comparison with the modified …