Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products

Abstract Food safety is a widespread challenge. Every year it is estimated that almost 1 in 10 people in the world fall ill after eating contaminated food resulting in over 400,000 deaths. The risk of outbreaks is higher when consuming ready‐to‐eat (RTE) products because they are eaten without a fur...

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Main Authors: Alessandro Zambon, Alberto Garre Perez, Sara Spilimbergo, Pablo S Fernández Escámez
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:EFSA Journal
Subjects:
Online Access:https://doi.org/10.2903/j.efsa.2022.e200903
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author Alessandro Zambon
Alberto Garre Perez
Sara Spilimbergo
Pablo S Fernández Escámez
author_facet Alessandro Zambon
Alberto Garre Perez
Sara Spilimbergo
Pablo S Fernández Escámez
author_sort Alessandro Zambon
collection DOAJ
description Abstract Food safety is a widespread challenge. Every year it is estimated that almost 1 in 10 people in the world fall ill after eating contaminated food resulting in over 400,000 deaths. The risk of outbreaks is higher when consuming ready‐to‐eat (RTE) products because they are eaten without a further cooking process that could inactivate pathogenic microorganisms. Hence, food processing is essential to increase the safety of RTE products. Microbiological risk assessment (MRA) integrates food science, microbiology and data science to provide a comprehensive understanding of the safety of the food system. MRA provides qualitative and/or quantitative information to decision makers, which might promote the adoption of better food practices. In this contest, this project aims to study and implement tools for quantitative microbial risk assessment (QMRA) of food products along the food chain. A common RTE product (cured ham) from Spain was used as a case study. Following, the exposure assessment model was implemented using mathematical models and statistical software to describe the microbial behaviour along the food chain. The study presents the possibility to identify the risk exposure in different scenarios (e.g. growth during different storage conditions, inactivation induced by traditional or innovative decontamination techniques), showing the flexibility of the predictive tools developed.
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spelling doaj.art-9c0124024e424ff98ee3c39779b6835a2023-01-05T11:35:36ZengWileyEFSA Journal1831-47322022-12-0120S2n/an/a10.2903/j.efsa.2022.e200903Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish productsAlessandro Zambon0Alberto Garre Perez1Sara Spilimbergo2Pablo S Fernández Escámez3Departamento de Ingeniería Agronómica ETSIA‐Universidad Politécnica de Cartagena Paseo Alfonso XIII, 48 30203 Cartagena SpainDepartamento de Ingeniería Agronómica ETSIA‐Universidad Politécnica de Cartagena Paseo Alfonso XIII, 48 30203 Cartagena SpainDepartment of Industrial Engineering University of Padua via Marzolo 9 35131 Padua ItalyDepartamento de Ingeniería Agronómica ETSIA‐Universidad Politécnica de Cartagena Paseo Alfonso XIII, 48 30203 Cartagena SpainAbstract Food safety is a widespread challenge. Every year it is estimated that almost 1 in 10 people in the world fall ill after eating contaminated food resulting in over 400,000 deaths. The risk of outbreaks is higher when consuming ready‐to‐eat (RTE) products because they are eaten without a further cooking process that could inactivate pathogenic microorganisms. Hence, food processing is essential to increase the safety of RTE products. Microbiological risk assessment (MRA) integrates food science, microbiology and data science to provide a comprehensive understanding of the safety of the food system. MRA provides qualitative and/or quantitative information to decision makers, which might promote the adoption of better food practices. In this contest, this project aims to study and implement tools for quantitative microbial risk assessment (QMRA) of food products along the food chain. A common RTE product (cured ham) from Spain was used as a case study. Following, the exposure assessment model was implemented using mathematical models and statistical software to describe the microbial behaviour along the food chain. The study presents the possibility to identify the risk exposure in different scenarios (e.g. growth during different storage conditions, inactivation induced by traditional or innovative decontamination techniques), showing the flexibility of the predictive tools developed.https://doi.org/10.2903/j.efsa.2022.e200903QMRAready‐to‐eatListeria monocytogenessupercritical CO2low‐temperature pasteurisation
spellingShingle Alessandro Zambon
Alberto Garre Perez
Sara Spilimbergo
Pablo S Fernández Escámez
Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
EFSA Journal
QMRA
ready‐to‐eat
Listeria monocytogenes
supercritical CO2
low‐temperature pasteurisation
title Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
title_full Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
title_fullStr Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
title_full_unstemmed Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
title_short Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
title_sort training in tools to develop quantitative microbial risk assessment along the food chain of spanish products
topic QMRA
ready‐to‐eat
Listeria monocytogenes
supercritical CO2
low‐temperature pasteurisation
url https://doi.org/10.2903/j.efsa.2022.e200903
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AT saraspilimbergo trainingintoolstodevelopquantitativemicrobialriskassessmentalongthefoodchainofspanishproducts
AT pablosfernandezescamez trainingintoolstodevelopquantitativemicrobialriskassessmentalongthefoodchainofspanishproducts