Data relative to in situ Listeria monocytogenes inactivation in fermented sausages were collected from 13 individual studies found in the literature. Inactivation rates were extrapolated and used to develop a predictive model to evaluate the relative effects of pH, water activity (aw) and temperature on L. monocytogenes fate during fermentation and ripening. Temperature explained ca. 60% of the data variability, while pH and aw only a small part. Temperature alone may not be sufficient to cause pathogen's inactivation, but inactivation rate is dominated by temperature when pH and aw are in the range which prevent L. monocytogenes growth. A predictive model based on two Arrhenius equations (ln[inactivation rate] = − 25.71 − [− 0.6829 / (8.314 × T)] for fermentation; and ln[inactivation rate] = − 44.86 − [− 1.219/(8.314 × T)] for ripening) was developed. The model can be used to quantify the effect of temperature and/or time changes on fermented sausage safety. The advantages and limitations of the model are discussed.

Estimating the non-thermal inactivation of Listeria monocytogenes in fermented sausages relative to temperature, pH and water activity

RANTSIOU, KALLIOPI;ALESSANDRIA, Valentina;COCOLIN, Luca Simone
Last
2015-01-01

Abstract

Data relative to in situ Listeria monocytogenes inactivation in fermented sausages were collected from 13 individual studies found in the literature. Inactivation rates were extrapolated and used to develop a predictive model to evaluate the relative effects of pH, water activity (aw) and temperature on L. monocytogenes fate during fermentation and ripening. Temperature explained ca. 60% of the data variability, while pH and aw only a small part. Temperature alone may not be sufficient to cause pathogen's inactivation, but inactivation rate is dominated by temperature when pH and aw are in the range which prevent L. monocytogenes growth. A predictive model based on two Arrhenius equations (ln[inactivation rate] = − 25.71 − [− 0.6829 / (8.314 × T)] for fermentation; and ln[inactivation rate] = − 44.86 − [− 1.219/(8.314 × T)] for ripening) was developed. The model can be used to quantify the effect of temperature and/or time changes on fermented sausage safety. The advantages and limitations of the model are discussed.
2015
Inglese
Comitato scientifico
100
171
178
8
Fermented meats; Food-borne pathogens; Food safety; Kinetic behavior model; Inactivation; Listeria monocytogenes
GRECIA
1 – prodotto con file in versione Open Access (allegherò il file al passo 6 - Carica)
262
4
M. Mataragas; K. Rantsiou; V. Alessandria; L. Cocolin
info:eu-repo/semantics/article
partially_open
03-CONTRIBUTO IN RIVISTA::03A-Articolo su Rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/152588
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