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
100
171
178
Fermented meats; Food-borne pathogens; Food safety; Kinetic behavior model; Inactivation; Listeria monocytogenes
M. Mataragas; K. Rantsiou; V. Alessandria; L. Cocolin
File in questo prodotto:
File Dimensione Formato  
MS, 2015, 100, 171-178.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 531.88 kB
Formato Adobe PDF
531.88 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
MS, 2015, 100, 171-178_open access.pdf

Open Access dal 02/03/2016

Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 643.52 kB
Formato Adobe PDF
643.52 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/152588
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 22
social impact