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Risk-based monitoring of chemical substances in food: Prioritization by decision trees

机译:基于风险的食品化学物质监测:决策树的优先次序

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摘要

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.
机译:食品安全危害监测计划越来越多地建立风险。为了在这样的程序内包括用于食品的最相关的化学物质,需要优先级排序。在这项研究中,开发了决策树以排名在食品中可能发生的化学物质。决策树专注于红肉,但也可以应用于其他动物产品。开发了三棵决策树,一个用于以下每个化学物质组:禁止物质,环境污染物和授权物质。决策树专注于人体健康风险,包括发生化学物质和人体健康影响。随后将物质分为高,中等和低优先级的监测。在三组化学物质中的每种化学物质中测试决策树。科学信息(如EFSA意见)和(国家)监测数据用于回答决策树中的问题。结果表明,发达的决策树有助于分类化学物质,因此可以用作建立基于风险的监控计划的工具。建议建立一个含有广泛专家的工作组,优先考虑物质,并经常使用最新的(监测)信息来重新评估优先级物质清单。

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