Optimization of Sampling for Monitoring Chemicals in the Food Supply Chain Using a Risk-Based Approach : The Case of Aflatoxins and Dioxins in the Dutch Dairy Chain
Food safety monitoring faces the challenge of tackling multiple chemicals along the various stages of the food supply chain. Our study developed a methodology for optimizing sampling for monitoring multiple chemicals along the dairy supply chain. We used a mixed integer nonlinear programming approach to maximize the performance of the sampling in terms of reducing the risk of the potential disability adjusted life years (DALYs) in the population. Decision variables are the number of samples collected and analyzed at each stage of the food chain (feed mills, dairy farms, milk trucks, and dairy... Mehr ...
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Dokumenttyp: | article/Letter to editor |
Erscheinungsdatum: | 2020 |
Schlagwörter: | Disease burden / economics / food safety / optimization / sampling |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29041120 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.wur.nl/en/publications/optimization-of-sampling-for-monitoring-chemicals-in-the-food-sup |