Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 539079
Title Risk-based monitoring of chemical substances in food : Prioritization by decision trees
Author(s) Asselt, E.D. van; Noordam, M.Y.; Pikkemaat, M.G.; Dorgelo, F.O.
Source Food Control 93 (2018). - ISSN 0956-7135 - p. 112 - 120.
DOI https://doi.org/10.1016/j.foodcont.2018.06.001
Department(s) RIKILT - BU Toxicology Bioassays & Novel Foods
RIKILT - BU Authenticity & Nutrients
VLAG
RIKILT - Business unit Contaminants & Toxins
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Chemical hazards - Prioritizing - Risk ranking
Abstract

Monitoring programs for food safety hazards are increasingly set up on a risk basis. In order to include the most relevant chemical substances for food products within such a program, a prioritization is needed. Within this research, decision trees were developed to rank chemical substances that may occur in food products. The decision trees focus on red meat, but can also be applied for other animal products. Three decision trees were developed, one for each of the following groups of chemical substances: prohibited substances, environmental contaminants and authorized substances. The decision trees focused on human health risks including the occurrence of a chemical substance and the human health effects. Substances are subsequently classified into high, medium and low priority for monitoring. The decision trees were tested with a selection of chemical substances for each of the three groups of chemical substances. Scientific information (such as EFSA opinions) and (national) monitoring data were used to answer the questions in the decision trees. Results showed that the developed decision trees are helpful in classifying chemical substances and as such can be used as a tool to set up risk based monitoring plans. It is recommended to establish a working group containing a broad range of experts to prioritize the substances and to re-evaluate the list of prioritized substances frequently using the most current (monitoring) information.

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