A Predictive Model That Describes the Effect of Prolonged Heating at 70 to 90°C and Subsequent Incubation at Refrigeration Temperatures on Growth from Spores and Toxigenesis by Nonproteolytic Clostridium botulinum in the Presence of Lysozyme

Author:

Fernández Pablo S.1,Peck Michael W.1

Affiliation:

1. Institute of Food Research, Norwich Laboratory, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom

Abstract

ABSTRACT Refrigerated processed foods of extended durability such as cook-chill and sous-vide foods rely on a minimal heat treatment at 70 to 95°C and then storage at a refrigeration temperature for safety and preservation. These foods are not sterile and are intended to have an extended shelf life, often up to 42 days. The principal microbiological hazard in foods of this type is growth of and toxin production by nonproteolytic Clostridium botulinum . Lysozyme has been shown to increase the measured heat resistance of nonproteolytic C. botulinum spores. However, the heat treatment guidelines for prevention of risk of botulism in these products have not taken into consideration the effect of lysozyme, which can be present in many foods. In order to assess the botulism hazard, the effect of heat treatments at 70, 75, 80, 85, and 90°C combined with refrigerated storage for up to 90 days on growth from 10 6 spores of nonproteolytic C. botulinum (types B, E, and F) in an anaerobic meat medium containing 2,400 U of lysozyme per ml (50 μg per ml) was studied. Provided that the storage temperature was no higher than 8°C, the following heat treatments each prevented growth and toxin production during 90 days; 70°C for ≥2,545 min, 75°C for ≥463 min, 80°C for ≥230 min, 85°C for ≥84 min, and 90°C for ≥33.5 min. A factorial experimental design allowed development of a predictive model that described the incubation time required before the first sample showed growth, as a function of heating temperature (70 to 90°C), period of heat treatment (up to 2,545 min), and incubation temperature (5 to 25°C). Predictions from the model provided a valid description of the data used to generate the model and agreed with observations made previously.

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

Reference39 articles.

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5. An introduction to predictive microbiology and the development and use of probability models with Clostridium botulinum.;Dodds K. L.;J. Ind. Microbiol.,1993

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