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Updated: Jun 30, 2026

Metabolic Profiling to Determine Bactericidal or Bacteriostatic Effects of New Natural Products using Isothermal Microcalorimetry
Published on: October 29, 2020
Identification of non-linear microbial inactivation kinetics under dynamic conditions
V P Valdramidis1, A H Geeraerd, K Bernaerts
1BioTeC - Chemical & Biochemical Process Tech. & Control Sect., Dept. of Chem. Engineer., Katholieke Univers. Leuven, W. de Croylaan 46, B-3001 Leuven, Belgium.
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.
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