Microbiological Risk Assessment Associated with the Food Processing and Distribution Chain. Jeanne-Marie Membre. Читать онлайн. Newlib. NEWLIB.NET

Автор: Jeanne-Marie Membre
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Техническая литература
Год издания: 0
isbn: 9781119986973
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they correspond to the Clostridium type. Identification involved partial sequencing of the coding region of 16S rRNA. Finally, for all isolates identified as C. sporogenes or C. botulinum, specific identification of the C. botulinum genes was carried out according to a variety of protocols (Raphael and Andreadis 2007; Fach et al. 2009; Woudstra et al. 2012).

      To estimate the level of risk affecting the French population and to use that to validate the estimated level of risk during the study, epidemiological data covering the period 2001–2012 were collected and analyzed. In France, information on botulism epidemics is compiled each year by the National Institute for Public Health Surveillance (INVS 2013). The data for the 12 years were extracted and then analyzed to estimate the number of cases per million inhabitants in France.

      The quantitative risk assessment model estimated, with current consumption, an average probability of illness of 8.0 x 10 -10 per inhabitant and per year. This value is very low, which led to the conclusion that current practices in terms of the thermal processing of canned foie gras were sufficient to control the risk of the presence of C. botulinum in foie gras in France.

      It is worth noting here that this study was supported by the Comité Interprofessionnel des Palmipèdes à Foie Gras, a body that brings together all professional stakeholders in the sector. It was carried out by scientists from the academic and professional spheres, not by health authorities. This supports what was mentioned in section 1.2: hazard identification and risk assessment are tools that can be used by a wide-ranging scientific community.

      The example developed with foie gras is quite revealing of the approach to hazard identification, to which we now return in more detail.

      First of all, precise information must be gathered on the product, its ingredients, its manufacture (decontamination steps, possible recontamination in the factory), its storage method (frozen, refrigerated, ambient) and its method of use (for immediate consumption after opening or for use over a period of time).

      We mentioned above the use of the end product by the consumer. Unless the epidemiological data (literature or surveillance) indicate the contrary, it is logical to carry out hazard identification taking into consideration consumer practices as stated on the packaging or as reported from consumer surveys. It is futile to consider the “worst-case scenario” as the central point of analysis. For example, in the case of yogurt, it is reasonable to assume its immediate consumption in the minutes after opening. On the other hand, the consumer is not one entity: there are many consumers and many behaviors. This variability in behavior must therefore be taken into consideration when carrying out hazard identification, let alone risk assessment. To illustrate this last point, we will take the example of mayonnaise.

      One final example of hazard identification is linked to refrigerated, vacuum-packed foods that receive heat treatment sufficient to give them a SL of four weeks or more, with no added preservatives. However, this thermal processing is still relatively mild in order to allow these products to keep all their qualities of texture and flavor. This balance is maintained by using knowledge of the main hazard (psychrotrophic Clostridium botulinum) and a specific barrier effect called the degree of protection (DoP). An example concerning vacuum-packed refrigerated products and the DoP principle is presented here. More details are provided in the Appendices. This example is sourced from the