Literature DB >> 25890788

Risk assessment and risk management for safe foods: Assessment needs inclusion of variability and uncertainty, management needs discrete decisions.

M H Zwietering1.   

Abstract

The introduction of relevant food safety changes in legislation, like time-temperature criteria for pasteurisation and sterilisation, microbiological criteria, HACCP and FSOs, generally took several decades. All these approaches have helped to define specific targets or systems to improve the management of food safety. More and more the measures could be related to specific efficiency in public health protection. With the use of quantitative risk assessment, theoretically the effect of all interventions on the final risk can be determined, which can help to design the appropriate controls in the food safety management system. In such an assessment in practice, however results have understandably large variability and also uncertainty. There is large variability and uncertainty in the biological parts of the assessment, the dose response (infectivity, human susceptibility) the micro-organism kinetics in the chain (growth, inactivation, stress response) and also in the more technological parts, the conditions in the chain and the consumer behaviour. Often the results of risk assessments are probability distributions of the variability in illness probability, also sometimes represented with their uncertainty. To make a link from these distributions to managerial decisions, that need to be black and white, should not be considered the job of risk managers. This link needs investment from both the assessor and the manager.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Complexity; Decision support systems; Food safety management; Risk analysis

Mesh:

Year:  2015        PMID: 25890788     DOI: 10.1016/j.ijfoodmicro.2015.03.032

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  3 in total

Review 1.  Evolving challenges and strategies for fungal control in the food supply chain.

Authors:  Catheryn R Davies; Franziska Wohlgemuth; Taran Young; Joseph Violet; Matthew Dickinson; Jan-Willem Sanders; Cindy Vallieres; Simon V Avery
Journal:  Fungal Biol Rev       Date:  2021-06       Impact factor: 4.706

2.  Modeling of variability and uncertainty in human health risk assessment.

Authors:  Palash Dutta
Journal:  MethodsX       Date:  2017-01-31

3.  The COM-Poisson Process for Stochastic Modeling of Osmotic Inactivation Dynamics of Listeria monocytogenes.

Authors:  Pierluigi Polese; Manuela Del Torre; Mara Lucia Stecchini
Journal:  Front Microbiol       Date:  2021-07-09       Impact factor: 5.640

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.