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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-12-01
|
Series: | EFSA Journal |
Subjects: | |
Online Access: | https://doi.org/10.2903/j.efsa.2022.e200903 |
_version_ | 1797960709069340672 |
---|---|
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. |
first_indexed | 2024-04-11T00:49:13Z |
format | Article |
id | doaj.art-9c0124024e424ff98ee3c39779b6835a |
institution | Directory Open Access Journal |
issn | 1831-4732 |
language | English |
last_indexed | 2024-04-11T00:49:13Z |
publishDate | 2022-12-01 |
publisher | Wiley |
record_format | Article |
series | EFSA Journal |
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 |
work_keys_str_mv | AT alessandrozambon trainingintoolstodevelopquantitativemicrobialriskassessmentalongthefoodchainofspanishproducts AT albertogarreperez trainingintoolstodevelopquantitativemicrobialriskassessmentalongthefoodchainofspanishproducts AT saraspilimbergo trainingintoolstodevelopquantitativemicrobialriskassessmentalongthefoodchainofspanishproducts AT pablosfernandezescamez trainingintoolstodevelopquantitativemicrobialriskassessmentalongthefoodchainofspanishproducts |