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In this paper we review some results obtained within the context ofthe predictive microbiology, which is a specific field of the populationdynamics. In particular we discuss three models, which exploit tools ofstatistical mechanics, for bacterial dynamics in food of animal origin. In thefirst model, the random fluctuating behaviour, experimentally measured, of thetemperature is considered. In the second model stochastic differential equationsare introduced to take into account the influence of physical and chemicalvariables, such as temperature, pH and activity water, subject to deterministicand random variations. The third model, which is an extended version of thesecond one, neglects the environmental fluctuations, and concentrates on therole of the interspecific bacterial interactions. The comparison betweenexpected results and observed data indicates that the presence of noise sourcesand interspecific bacterial interactions improves the predictive features ofthe models analyzed.

KEYWORDS

Statistical Mechanics; Population Dynamics; Noise-Induced Effects; Stochastic Modeling; Noise in Biological Systems

Cite this paper

D. Valenti, A. Giuffrida, G. Ziino, F. Giarratana, B. Spagnolo and A. Panebianco -Modelling Bacterial Dynamics in Food Products: Role of Environmental Noise and Interspecific Competition,- Journal of Modern Physics, Vol. 4 No. 8, 2013, pp. 1059-1065. doi: 10.4236-jmp.2013.48142.





Author: Davide Valenti, Alessandro Giuffrida, Graziella, Ziino, Filippo Giarratana, Bernardo Spagnolo, Antonio Panebianco

Source: http://www.scirp.org/



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