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一种用于评估塑料材料是否符合欧洲食品法规的预测迁移模型的应用。

The application of a predictive migration model for evaluating the compliance of plastic materials with European food regulations.

作者信息

Baner A, Brandsch J, Franz R, Piringer O

机构信息

Fraunhofer-Institute of Food Technology and Packaging, Munich, Germany.

出版信息

Food Addit Contam. 1996 Jul;13(5):587-601. doi: 10.1080/02652039609374443.

DOI:10.1080/02652039609374443
PMID:8799720
Abstract

A model for estimating the migration of organic substances from plastic materials into foodstuffs has been previously developed. The use of this model allows a shift away from expensive and time consuming migration analysis in foods to much simpler and more economic compositional analysis in the material. Starting with toxicologically-based specific migration values, like the over 400 specific migration limit values for organic substances listed in the European Union's Synoptic Document No. 7, the corresponding allowable maximum quantity limits of these substances in the plastic were calculated. The amount of migration that can occur depends on many different factors such as the natures of the plastic, substance and food, contact time and temperature conditions, material thickness and number of uses. These factors can result in a variety of situations which must be taken into account in the estimation of migration. The handling of the migration estimation model is demonstrated for several practical migration scenarios using a series of case studies.

摘要

此前已开发出一种用于估算有机物质从塑料材料迁移到食品中的模型。使用该模型可以从食品中昂贵且耗时的迁移分析转向材料中更简单、更经济的成分分析。从基于毒理学的特定迁移值开始,例如欧盟第7号概要文件中列出的400多种有机物质的特定迁移限值,计算出这些物质在塑料中的相应允许最大量限值。可能发生的迁移量取决于许多不同因素,如塑料、物质和食品的性质、接触时间和温度条件、材料厚度和使用次数。在估算迁移时必须考虑这些因素可能导致的各种情况。通过一系列案例研究,展示了迁移估算模型在几种实际迁移场景中的应用。

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The application of a predictive migration model for evaluating the compliance of plastic materials with European food regulations.一种用于评估塑料材料是否符合欧洲食品法规的预测迁移模型的应用。
Food Addit Contam. 1996 Jul;13(5):587-601. doi: 10.1080/02652039609374443.
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Food Addit Contam. 1997 Aug-Oct;14(6-7):705-19. doi: 10.1080/02652039709374582.

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