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

Autor: Zambon A; Departamento de Ingeniería Agronómica ETSIA-Universidad Politécnica de Cartagena Paseo Alfonso XIII, 48 30203 Cartagena Spain.; Department of Industrial Engineering University of Padua via Marzolo 9 35131 Padua Italy., Perez AG; Departamento de Ingeniería Agronómica ETSIA-Universidad Politécnica de Cartagena Paseo Alfonso XIII, 48 30203 Cartagena Spain., Spilimbergo S; Department of Industrial Engineering University of Padua via Marzolo 9 35131 Padua Italy., Fernández Escámez PS; Departamento de Ingeniería Agronómica ETSIA-Universidad Politécnica de Cartagena Paseo Alfonso XIII, 48 30203 Cartagena Spain.
Jazyk: angličtina
Zdroj: EFSA journal. European Food Safety Authority [EFSA J] 2022 Dec 14; Vol. 20 (Suppl 2), pp. e200903. Date of Electronic Publication: 2022 Dec 14 (Print Publication: 2022).
DOI: 10.2903/j.efsa.2022.e200903
Abstrakt: 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.
(© 2022 Wiley‐VCH Verlag GmbH & Co. KgaA on behalf of the European Food Safety Authority.)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje