title: Identification of non-linear microbial inactivation kinetics under dynamic conditions.
abstract: In this study dynamic microbial inactivation experiments are exploited for performing parameter identification of a non-linear microbial model. For that purpose microbial inactivation data are produced and a differential equation exhibiting a shoulder and a loglinear phase is employed. The derived parameter estimates from this method were used to perform predictions on an independent experimental set at fluctuating temperature. Joint confidence regions and asymptotic confidence intervals of the estimated parameters were compared with previous studies originating from parameter identification under isothermal conditions. The developed approach can provide more reliable estimates for realistic conditions compared to the usual or standard two step approach.
authors.affiliation: BioTeC - Chemical & Biochemical Process Tech. & Control Sect., Dept. of Chem. Engineer., Katholieke Univers. Leuven, W. de Croylaan 46, B-3001 Leuven, Belgium.
authors.forename: V P
authors.initials: VP
authors.lastname: Valdramidis
authors.forename: A H
authors.initials: AH
authors.lastname: Geeraerd
authors.forename: K
authors.initials: K
authors.lastname: Bernaerts
authors.forename: J F M
authors.initials: JF
authors.lastname: Van Impe
mesh_terms: D001419:Bacteria / Q000254:growth & development*; D015169:Colony Count, Microbial / Q000379:methods*; D005516:Food Microbiology; D005524:Food Technology; D006358:Hot Temperature; D007700:Kinetics; D008433:Mathematics; D008954:Models, Biological; D008962:Models, Theoretical