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食品接触材料移民风险分类策略结合三种(Q)SAR 工具的计算机模拟。

A risk classification strategy for migrants of food contact material combined with three (Q)SAR tools in silico.

机构信息

College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.

China National Center for Food Safety Risk Assessment, Beijing 100022, China.

出版信息

J Hazard Mater. 2021 Oct 5;419:126422. doi: 10.1016/j.jhazmat.2021.126422. Epub 2021 Jun 17.

DOI:10.1016/j.jhazmat.2021.126422
PMID:34182426
Abstract

The chemical constituents in food contact materials (FCMs) may transfer into food during the contact, which may pose potential risk to humans. So, it is important to evaluate the safety of FCMs. Due to the advantages of cost-effectiveness and high throughput, (Q)SAR tools have been gradually used for risk assessment. In this work, a risk classification strategy for migrants of food contact materials combined with three (Q)SAR tools was developed based on a single endpoint (Mutagenicity) assessment and risk matrix approach, respectively. 419 migrants existing in a self-built toxicology database beneficial from Python crawler technology were evaluated. 5 toxic hazard ranks and 4 risk ranks were obtained for single endpoint assessment and risk matrix respectively, with 21 substances assigned as Toxic hazard Class I and 43 substances assigned as RISK Ⅰ which need the highest safety concern. Besides, for the Toxic hazard Class I substances assessed by the single endpoint, 19 of them were confirmed experimentally, and all of them were overlapped in the RISK Ⅰ substances, which suggests the effectiveness and reliability of this strategy.

摘要

食品接触材料(FCM)中的化学物质在接触过程中可能会转移到食品中,这可能对人类构成潜在风险。因此,评估 FCM 的安全性非常重要。由于具有成本效益和高通量的优势,(QSAR)工具已逐渐用于风险评估。在这项工作中,基于单点(致突变性)评估和风险矩阵方法,分别开发了一种结合三种(QSAR)工具的食品接触材料迁移物风险分类策略。利用 Python 爬虫技术,对自建毒理学数据库中的 419 种迁移物进行了评估。单点评估和风险矩阵分别得到了 5 个毒性危害等级和 4 个风险等级,其中 21 种物质被归类为毒性危害一级,43 种物质被归类为 RISK Ⅰ,需要高度关注安全性。此外,对于单点评估的毒性危害一级物质,其中 19 种已通过实验证实,且全部与 RISK Ⅰ物质重叠,这表明该策略的有效性和可靠性。

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