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Modeling the lag period and exponential growth of Listeria monocytogenes under conditions of fluctuating temperature and water activity values
- Source :
- Applied and environmental microbiology. 76(9)
- Publication Year :
- 2010
-
Abstract
- The dynamic model for the growth of a bacterial population described by Baranyi and Roberts (J. Baranyi and T. A. Roberts, Int. J. Food Microbiol. 23: 277-294, 1994) was applied to model the lag period and exponential growth of L isteria monocytogenes under conditions of fluctuating temperature and water activity (a w ) values. To model the duration of the lag phase, the dependence of the parameter h 0 , which quantifies the amount of work done during the lag period, on the previous and current environmental conditions was determined experimentally. This parameter depended not only on the magnitude of the change between the previous and current environmental conditions but also on the current growth conditions. In an exponentially growing population, any change in the environment requiring a certain amount of work to adapt to the new conditions initiated a lag period that lasted until that work was finished. Observations for several scenarios in which exponential growth was halted by a sudden change in the temperature and/or a w were in good agreement with predictions. When a population already in a lag period was subjected to environmental fluctuations, the system was reset with a new lag phase. The work to be done during the new lag phase was estimated to be the workload due to the environmental change plus the unfinished workload from the uncompleted previous lag phase.
- Subjects :
- education.field_of_study
Ecology
Environmental change
Water activity
Lag
Population
Temperature
Water
Bacterial population
medicine.disease_cause
Atmospheric sciences
Applied Microbiology and Biotechnology
Listeria monocytogenes
Models, Biological
Exponential growth
medicine
Food Microbiology
Growth rate
education
Food Science
Biotechnology
Mathematics
Subjects
Details
- ISSN :
- 10985336
- Volume :
- 76
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Applied and environmental microbiology
- Accession number :
- edsair.doi.dedup.....44c815c1de7314fe926f44168e38070f