A stochastic interspecific competition model to predict the behaviour of Listeria monocytogenes in the fermentation process of a traditional Sicilian salami
By A. Giuffrida, Davide Valenti, G. Ziino, Bernardo Spagnolo, A. Panebianco. 2008
101 citations recorded by the source corpus.
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.
Subfields: Animal Science and Zoology, Biotechnology, Food Science
View Paper: https://www.semanticscholar.org/paper/e3ae0382bd4089b01a3488a9f222049bd1ab29b6
How researchers see this paper
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- G. Denaro
- Davide Valenti
- A. L. Cognata
- Bernardo Spagnolo
- A. Bonanno
- S. Mazzola
- S. Zgozi
- G. Basilone
Citations in the corpus
- Spatio-temporal behaviour of the deep chlorophyll maximum in Mediterranean Sea: Development of a stochastic model for picophytoplankton dynamics (2012, background): “Gaussian noise used in the model, produces in average the same effect as a deterministic dynamics (Giuffrida et al., 2009).”