Previous Article | Next Article 
Appl Environ Microbiol. 1991 April; 57(4): 1094-1101
Modeling of bacterial growth as a function of temperature.
M H Zwietering,
J T de Koos,
B E Hasenack,
J C de Witt and
K van't Riet
Department of Food Science, Agricultural University Wageningen, The Netherlands.
ABSTRACT
The temperature of chilled foods is a very important variable for microbial safety in a production and distribution chain. To predict the number of organisms as a function of temperature and time, it is essential to model the lag time, specific growth rate, and asymptote (growth yield) as a function of temperature. The objective of this research was to determine the suitability and usefulness of different models, either available from the literature or newly developed. The models were compared by using an F test, by which the lack of fit of the models was compared with the measuring error. From the results, a hyperbolic model was selected for the description of the lag time as a function of temperature. Modified forms of the Ratkowsky model were selected as the most suitable model for both the growth rate and the asymptote as a function of temperature. The selected models could be used to predict experimentally determined numbers of organisms as a function of temperature and time.
Appl Environ Microbiol. 1991 April; 57(4): 1094-1101
This article has been cited by other articles:
-
den Besten, H. M. W., Mataragas, M., Moezelaar, R., Abee, T., Zwietering, M. H.
(2006). Quantification of the Effects of Salt Stress and Physiological State on Thermotolerance of Bacillus cereus ATCC 10987 and ATCC 14579. Appl. Environ. Microbiol.
72: 5884-5894
[Abstract]
[Full Text]
-
Kandhai, M. C., Reij, M. W., Grognou, C., van Schothorst, M., Gorris, L. G. M., Zwietering, M. H.
(2006). Effects of Preculturing Conditions on Lag Time and Specific Growth Rate of Enterobacter sakazakii in Reconstituted Powdered Infant Formula. Appl. Environ. Microbiol.
72: 2721-2729
[Abstract]
[Full Text]
-
Guillier, L., Pardon, P., Augustin, J.-C.
(2005). Influence of Stress on Individual Lag Time Distributions of Listeria monocytogenes. Appl. Environ. Microbiol.
71: 2940-2948
[Abstract]
[Full Text]
-
Gardan, R., Cossart, P., The European Listeria Genome Consortium,, , Labadie, J.
(2003). Identification of Listeria monocytogenes Genes Involved in Salt and Alkaline-pH Tolerance. Appl. Environ. Microbiol.
69: 3137-3143
[Abstract]
[Full Text]
-
Dougherty, D. P., Breidt, F. Jr., McFeeters, R. F., Lubkin, S. R.
(2002). Energy-Based Dynamic Model for Variable Temperature Batch Fermentation by Lactococcus lactis. Appl. Environ. Microbiol.
68: 2468-2478
[Abstract]
[Full Text]
-
Schaffner, D. W., Ross, W. H., Montville, T. J.
(1998). Analysis of the Influence of Environmental Parameters on Clostridium botulinum Time-to-Toxicity by Using Three Modeling Approaches. Appl. Environ. Microbiol.
64: 4416-4422
[Abstract]
[Full Text]
-
Hazeleger, W. C., Wouters, J. A., Rombouts, F. M., Abee, T.
(1998). Physiological Activity of Campylobacter jejuni Far below the Minimal Growth Temperature. Appl. Environ. Microbiol.
64: 3917-3922
[Abstract]
[Full Text]
-
Nabais, R.M., Malcata, F.X.
(1997). Modelling of lactic fermentation of carrot slices in salted brines / Modelo de fermentacion de rodajas de zanahorias en salmuera. Food Science and Technology International
3: 263-283
[Abstract]
Copyright © 1991 by the American Society for Microbiology. All rights reserved.