使用数学模型预测食品接触聚合物添加剂迁移的实践经验

A. O'Brien, I. Cooper
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引用次数: 17

摘要

为了减少食品接触聚合物的合规特定迁移测试的数量,已经评估了迁移模型的使用。这篇论文描述了在一系列塑料上进行的实验工作,并将测量到的迁移量与使用数学模型得到的预测结果进行了比较。获得了大量的实验迁移数据,并用于评价基于fickian的迁移模型在预测添加剂向橄榄油的比迁移中的作用。所有的测试都是使用橄榄油进行的,橄榄油代表了脂肪食品最严重的情况,测试条件包括121°C下2小时、70°C下6小时、70°C下2小时、60°C下2小时和40°C下10天,分别代表了高温和室温储存下的短期暴露。通过将聚合物中添加剂的初始浓度(cp,0)与添加剂分子量、温度和暴露时间等已知变量一起输入方程,可以计算出预测的迁移量。结果表明,Piringer迁移模型使用Migratest Lite程序的“精确”计算,预测到橄榄油中的迁移接近或超过实验结果,并对这里产生的迁移给出了高估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical experience in the use of mathematical models to predict migration of additives from food-contact polymers
To reduce the amount of compliance-specific migration testing for food-contact polymers, the use of migration modelling has been evaluated. The paper describes experimental work carried out on a range of plastics and compares measured migrations against predictions obtained using mathematical models. A large number of experimental migration data have been obtained and used to evaluate a Fickian-based migration model in the prediction of specific migration of additives into olive oil. All tests were conducted using olive oil, representing the most severe case for fatty foods with test conditions including 2h at 121 ° C, 6h at 70 ° C, 2h at 70 ° C, 2h at 60 ° C and 10 days at 40 ° C, representing short-term exposures at high temperatures and room temperature storage. Predicted migrations were calculated by inputting the measured initial concentration of additive in the polymers (C p,0) into the equations together with known variables such as additive molecular weight, temperature and exposure time. The results indicate the Piringer migration model, using the 'exact' calculations of the Migratest Lite program, predicted migrations into olive oil that were close to or in excess of the experimental results and gave an overestimation for > 95% of the migrations generated here.
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