In situ quantitative data on L. monocytogenes survival during storage of vacuum-packaged fermented sausages at various temperatures were collected from the literature to develop a generic predictive model regarding its fate at a specific storage temperature. The development of the tool was based on the z-concept. The time needed for 4D reduction of the pathogen was estimated and its influence by the temperature was further described by linear regression. A secondary model was developed for describing the effect of sausage water activity on the z-concept parameters at the reference temperature. The decision support tool was successfully validated against the studies not used during the development of the model. Based on the model predictions, a decision can be made about the required time of product storage before its distribution to achieve an additional pathogen inactivation. Such tools can be incorporated in a HACCP plan of a food-producing company to assure food safety.

Evaluation of the Listeria monocytogenes inactivation during post-process storage of fermented sausages: A basis for the development of a decision support tool

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

Abstract

In situ quantitative data on L. monocytogenes survival during storage of vacuum-packaged fermented sausages at various temperatures were collected from the literature to develop a generic predictive model regarding its fate at a specific storage temperature. The development of the tool was based on the z-concept. The time needed for 4D reduction of the pathogen was estimated and its influence by the temperature was further described by linear regression. A secondary model was developed for describing the effect of sausage water activity on the z-concept parameters at the reference temperature. The decision support tool was successfully validated against the studies not used during the development of the model. Based on the model predictions, a decision can be made about the required time of product storage before its distribution to achieve an additional pathogen inactivation. Such tools can be incorporated in a HACCP plan of a food-producing company to assure food safety.
2015
50
568
573
http://www.sciencedirect.com/science/article/pii/S0956713514005684
Food safety; HACCP; Non-thermal inactivation; Predictive model; Storage
Marios Mataragas; Valentina Alessandria; Kalliopi Rantsiou; Luca Cocolin
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/151679
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