Title: Predictive modelling and validation of Listeria innocua growth at superatmospheric oxygen and carbon dioxide concentrations
Authors: Geysen, Sabine ×
Verlinden, Bert
Geeraerd, Annemie
Van Impe, Jan
Michiels, Christiaan
Nicolai, Bart #
Issue Date: Dec-2005
Publisher: Elsevier Science Publishers
Series Title: International Journal of Food Microbiology vol:105 issue:3 pages:333-345
Abstract: The effect of superatmospheric oxygen and carbon dioxide concentrations on the growth of Listeria innocua, which was used as a model organism for the pathogen Listeria monocytogenes, was evaluated. The bacteria were grown on a nutrient agar surface at 7 degrees C. Three carbon dioxide levels (0%, 12.5% and 25%) were combined with different levels of high oxygen concentrations (above 20%) based on a mixture design. The applied oxygen concentrations did not significantly influence the growth. High CO2 concentrations, on the contrary, reduced the maximum specific growth rate and prolonged the lag time. An overall model to describe the growth of L. innocua under high carbon dioxide conditions was constructed based on nine growth experiments, using a weighted one-step regression procedure. The influence of carbon dioxide on lag time and maximum specific growth rate was described using Ratkowsky-type models and inserted in the Baranyi equation. The model described the growth very well. To assess the validity of the model, 14 additional experiments were carried out. There was a good correlation of the model predictions and observed validation data. (C) 2005 Elsevier B.V. All rights reserved.
ISSN: 0168-1605
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)
Centre for Food and Microbial Technology
Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
× corresponding author
# (joint) last author

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