Decimal reduction time (D-value) based on the first-order survival kinetics model is not
sufficient for reliable estimation of the bacterial survivors of inactivation treatment because …

The traditional log-linear inactivation kinetics model considers microbial inactivation as a
process that follows first-order kinetics. A basic concept of log reduction is decimal reduction …

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 …

A statistical modeling approach was applied for describing and evaluating the individual cell
heterogeneity as variability source in microbial inactivation. The inactivation data (N t vs …

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 …

The first order kinetic model, the Buchanan model and Cerf's model, can model a linear
survival curve, a survival curve with a shoulder and a survival curve with a tailing …

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

The first-order kinetics for microbial inactivation was derived more than 100 years ago and is
still used, although more and more researchers are aware of very common non-linear …

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 …

Conventional regression analysis using the least-squares method has been applied to
describe bacterial behavior logarithmically. However, only the normal distribution is used as …