|
|
Authors: | L. Guillier, J.-C. Augustin |
Keywords: | Predictive microbiology; stochastic modelling; lag time; variability; probability of growth |
DOI: | 10.17660/ActaHortic.2005.674.2 |
Abstract:
The effects of nine common food industry stresses on the individual lag time (lag) distribution of L. monocytogenes were determined.
The distributions of lag obtained in a single re-growth condition revealed that there was a noticeable difference in response to the stresses encountered by the L. monocytogenes cells.
The applied stresses led to significant changes in the shape, mean and variance of lag distributions (in a single re-growth condition). Then, the influence of re-growth conditions on lag distribution and on the probability to initiate growth were examined for L. monocytogenes cells previously subjected to a representative stress situation of the dairy processing.
A linear relation was observed between means of lag and their standard deviation.
A decrease in the probability of initiating growth for stressed cells was also observed as growth conditions became unfavourable.
These results suggest that stress-induced variability may be important in determining the reliability of predictive microbiological models.
|
Download Adobe Acrobat Reader (free software to read PDF files) |
|