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Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples

Unsafe food poses global health threats, potentially endangering consumers. The great majority of people will experience a food‐borne disease at some point in their lives. Ready‐to‐eat (RTE) food is the one intended by the producer or the manufacturer for direct human consumption without the need fo...

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Autores principales: Georgalis, Leonidas, Garre, Alberto, Fernandez Escamez, Pablo S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691611/
https://www.ncbi.nlm.nih.gov/pubmed/33294042
http://dx.doi.org/10.2903/j.efsa.2020.e181103
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author Georgalis, Leonidas
Garre, Alberto
Fernandez Escamez, Pablo S
author_facet Georgalis, Leonidas
Garre, Alberto
Fernandez Escamez, Pablo S
collection PubMed
description Unsafe food poses global health threats, potentially endangering consumers. The great majority of people will experience a food‐borne disease at some point in their lives. Ready‐to‐eat (RTE) food is the one intended by the producer or the manufacturer for direct human consumption without the need for cooking or other processing effective to eliminate or reduce the concentration of pathogenic microorganisms. Prepared foods are often complex and may contain multiple components that make them vulnerable for growth of pathogenic microorganisms. Among all the pathogenic microorganisms that may be present in RTE foods, Listeria monocytogenes is of special interest because it is the causative agent of listeriosis and it has the ability to survive and replicate at refrigeration and low pH conditions. We performed a quantitative microbial risk assessment (QMRA) in RTE dry‐fermented sausage to measure the risk of listeriosis associated to the consumption of this product. The starting point of our investigation was the storage at the factory, after the end‐product was produced and before distribution to retail. The stochastic model was implemented in MicroHibro, an online tool for QMRA. Because L. monocytogenes concentration and prevalence can vary greatly between different studies and different types of fermented sausages, we tested different scenarios to show the importance of low prevalence and concentration of the pathogen at the final product. Our results show that the risk estimates are very sensitive to the modelling hypotheses used to describe this process. Therefore, the development of accurate probabilistic models describing the initial concentration of L. monocytogenes shall largely reduce the uncertainty associated to the QMRA of listeriosis in this type of product.
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spelling pubmed-76916112020-12-07 Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples Georgalis, Leonidas Garre, Alberto Fernandez Escamez, Pablo S EFSA J EU‐FORA Series 3 Unsafe food poses global health threats, potentially endangering consumers. The great majority of people will experience a food‐borne disease at some point in their lives. Ready‐to‐eat (RTE) food is the one intended by the producer or the manufacturer for direct human consumption without the need for cooking or other processing effective to eliminate or reduce the concentration of pathogenic microorganisms. Prepared foods are often complex and may contain multiple components that make them vulnerable for growth of pathogenic microorganisms. Among all the pathogenic microorganisms that may be present in RTE foods, Listeria monocytogenes is of special interest because it is the causative agent of listeriosis and it has the ability to survive and replicate at refrigeration and low pH conditions. We performed a quantitative microbial risk assessment (QMRA) in RTE dry‐fermented sausage to measure the risk of listeriosis associated to the consumption of this product. The starting point of our investigation was the storage at the factory, after the end‐product was produced and before distribution to retail. The stochastic model was implemented in MicroHibro, an online tool for QMRA. Because L. monocytogenes concentration and prevalence can vary greatly between different studies and different types of fermented sausages, we tested different scenarios to show the importance of low prevalence and concentration of the pathogen at the final product. Our results show that the risk estimates are very sensitive to the modelling hypotheses used to describe this process. Therefore, the development of accurate probabilistic models describing the initial concentration of L. monocytogenes shall largely reduce the uncertainty associated to the QMRA of listeriosis in this type of product. John Wiley and Sons Inc. 2020-11-26 /pmc/articles/PMC7691611/ /pubmed/33294042 http://dx.doi.org/10.2903/j.efsa.2020.e181103 Text en © 2020 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made.
spellingShingle EU‐FORA Series 3
Georgalis, Leonidas
Garre, Alberto
Fernandez Escamez, Pablo S
Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
title Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
title_full Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
title_fullStr Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
title_full_unstemmed Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
title_short Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
title_sort training in tools to develop quantitative risk assessment using spanish ready‐to‐eat food examples
topic EU‐FORA Series 3
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691611/
https://www.ncbi.nlm.nih.gov/pubmed/33294042
http://dx.doi.org/10.2903/j.efsa.2020.e181103
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