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Stochastic modelling of the lag time of individual cells as a function of their environment and history

Reference	BBS/E/F/00041213
Principal Investigator / Supervisor	Professor Jozsef Baranyi
Co-Investigators / Co-Supervisors	Professor Michael William Peck
Institution	Quadram Institute Bioscience
Department	Quadram Institute Bioscience Department
Funding type	Research
Value (£)	597,637
Status	Completed
Type	Institute Project
Start date	01/04/2000
End date	31/03/2005
Duration	60 months

Abstract

The exponential growth rate of a bacterial population can be predicted if the main environmental factors, such as temperature, pH, water activity are known. The predictions become more and more unreliable under conditions close to the environmental boundary of the growth. The situation is even more difficult with predicting the lag time, especially if the probability of growth is below 100 percent. The problem is that deterministic models are not suitable to model those parameters that change significantly due to a few unexpectedly behaving cells. In order to model lag and probability of growth, stochastic processes will be applied. Methodology will be based on turbidity measurements to collect the detection times of identical growing cultures generated by a few number of initial cells. The distribution of lag times will be estimated from the distribution of detection times and then a stochastic mathematical model will be developed to describe the effect of history and growth conditions of cells on those distributions

Summary

unavailable

Committee	Closed Committee - Agri-food (AF)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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