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A stochastic interspecific competition model to predict the behaviour of Listeria monocytogenes in the fermentation process of a traditional Sicilian salami

Academic Article
Publication Date:
2009
abstract:
The present article discusses the use of modified Lotka–Volterra equations in order to stochastically simulate the behaviour of Listeria monocytogenes and lactic acid bacteria (LAB) during the fermentation period (168 h) of a typical Sicilian salami. For this purpose, the differential equation system is set considering temperature (T), pH, water activity (aw) as stochastic variables. Each of them is governed by dynamics that involve a deterministic linear decrease as a function of the time t and an ‘‘additive noise’’ term which instantaneously mimics the fluctuations of T, pH and aw. The choice of a suitable parameter accounting for the interaction of LAB on L. monocytogenes as well as the introduction of appropriate noise levels allows to match the observed data, both for the mean growth curves and for the probability distribution of L. monocytogenes concentration at 168 h.
Iris type:
14.a.1 Articolo su rivista
Keywords:
Predictive microbiology; Interspecific competition model; Stochastic approach; Environmental noise; Listeria monocytogenes; Lactic acid bacteria
List of contributors:
Giuffrida, Alessandro; Valenti, D; Ziino, Graziella; Spagnolo, B; Panebianco, Antonio
Authors of the University:
GIUFFRIDA Alessandro
PANEBIANCO Antonio
ZIINO Graziella
Handle:
https://iris.unime.it/handle/11570/1866420
Published in:
EUROPEAN FOOD RESEARCH AND TECHNOLOGY
Journal
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URL

http://www.springerlink.com/content/06m6461lm76058m3/
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