Model of the influence of time and mild temperature on Listeria monocytogenes nonlinear survival curves

Heat treatment has long been regarded as one of the most widely used and most effective means of destroying pathogens in food. Up to now the linear relationship between the death rate and the temperature has been used when choosing the best heat treatment to apply. However, the information given by...

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Bibliographic Details
Published in:International journal of food microbiology 1998-04, Vol.40 (3), p.185-195
Main Authors: Bréand, S., Fardel, G., Flandrois, J.P., Rosso, L., Tomassone, R.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Colony Count, Microbial
Confidence Intervals
Food engineering
Food industries
Food-Processing Industry
Fundamental and applied biological sciences. Psychology
General aspects
HEAT TREATMENT
Hot Temperature
Life Sciences
LISTERIA MONOCYTOGENES
Listeria monocytogenes - growth & development
Logistic Models
Models, Biological
MORTALIDAD
MORTALITE
MORTALITY
Nonlinear Dynamics
Other
TEMPERATURA
TEMPERATURE
Time Factors
TRAITEMENT THERMIQUE
TRATAMIENTO TERMICO
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Summary:Heat treatment has long been regarded as one of the most widely used and most effective means of destroying pathogens in food. Up to now the linear relationship between the death rate and the temperature has been used when choosing the best heat treatment to apply. However, the information given by this linear relationship is no longer sufficient when nonlinear survival curves are observed. Consequently, the agri-food industry needs a tool to choose the best mild heat treatment to apply in the case of nonlinear survival curves. This study deals with the temperature-induced death of Listeria monocytogenes CIP 7831 in the stationary phase of growth. Eleven temperatures were tested. With the proposed primary and secondary models good fits of our data were obtained. A model describing both the effect of the duration of treatment and the temperature on the logarithm of the number of survivors was then built. A clear increase in the precision of the estimation of the parameters was obtained with this model. Moreover, with this model a new graphical strategy to choose a mild heat increase regarding a maximal survivor number has been proposed.
ISSN:0168-1605
1879-3460
DOI:10.1016/S0168-1605(98)00032-4