Towards a Food Safety Knowledge Base Applicable in Crisis Situations and BeyondReport as inadecuate




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BioMed Research International - Volume 2015 2015, Article ID 830809, 11 pages -

Research ArticleFederal Institute for Risk Assessment, Diedersdorfer Weg 1, 12277 Berlin, Germany

Received 26 September 2014; Accepted 24 November 2014

Academic Editor: Sabah Mohammed

Copyright © 2015 Alexander Falenski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing the potential effects of a specific contamination event and thus enable them to deduce the appropriate mitigation measures. One efficient strategy supporting this is using model based simulations. However, application in crisis situations requires ready-to-use and easy-to-adapt models to be available from the so-called food safety knowledge bases. Here, we illustrate this concept and its benefits by applying the modular open source software tools PMM-Lab and FoodProcess-Lab. As a fictitious sample scenario, an intentional ricin contamination at a beef salami production facility was modelled. Predictive models describing the inactivation of ricin were reviewed, relevant models were implemented with PMM-Lab, and simulations on residual toxin amounts in the final product were performed with FoodProcess-Lab. Due to the generic and modular modelling concept implemented in these tools, they can be applied to simulate virtually any food safety contamination scenario. Apart from the application in crisis situations, the food safety knowledge base concept will also be useful in food quality and safety investigations.





Author: Alexander Falenski, Armin A. Weiser, Christian Thöns, Bernd Appel, Annemarie Käsbohrer, and Matthias Filter

Source: https://www.hindawi.com/



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