title: Modeling the pressure inactivation dynamics of Escherichia coli.
abstract: Escherichia coli, as a model microorganism, was treated in phosphate-buffered saline under high hydrostatic pressure between 100 and 300 MPa, and the inactivation dynamics was investigated from the viewpoint of predictive microbiology. Inactivation data were curve fitted by typical predictive models: logistic, Gompertz and Weibull functions. Weibull function described the inactivation curve the best. Two parameters of Weibull function were calculated for each holding pressure and their dependence on holding pressure was obtained by interpolation. With the interpolated parameters, inactivation curves were simulated and compared with the experimental data sets.
authors.affiliation: National Food Research Institute, Ibaraki, Japan. kazutaka@nfri.affrc.go.jp
authors.forename: K
authors.initials: K
authors.lastname: Yamamoto
authors.forename: M
authors.initials: M
authors.lastname: Matsubara
authors.forename: S
authors.initials: S
authors.lastname: Kawasaki
authors.forename: M L
authors.initials: ML
authors.lastname: Bari
authors.forename: S
authors.initials: S
authors.lastname: Kawamoto
mesh_terms: D004926:Escherichia coli / Q000254:growth & development*; D006874:Hydrostatic Pressure; D016015:Logistic Models; D008954:Models, Biological