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CON4EI:用于严重眼损伤和眼刺激性化学物质危险识别和标签的 slug 粘膜刺激(SMI)测试方法。

CON4EI: Slug Mucosal Irritation (SMI) test method for hazard identification and labelling of serious eye damaging and eye irritating chemicals.

机构信息

Adriaens Consulting BVBA, Aalter, Belgium.

Envigo, Cambridgeshire, United Kingdom.

出版信息

Toxicol In Vitro. 2018 Jun;49:77-89. doi: 10.1016/j.tiv.2017.08.020. Epub 2017 Sep 1.

Abstract

Assessment of ocular irritancy is an international regulatory requirement in the safety evaluation of industrial and consumer products. Although many in vitro ocular irritation assays exist, alone they are incapable of fully categorizing chemicals. The objective of CEFIC-LRI-AIMT6-VITO CON4EI (CONsortium for in vitro Eye Irritation testing strategy) project was to develop tiered testing strategies for eye irritation assessment that can lead to complete replacement of the in vivo Draize rabbit eye test (OECD TG 405). A set of 80 reference chemicals was tested with seven test methods, one method was the Slug Mucosal Irritation (SMI) test method. The method measures the amount of mucus produced (MP) during a single 1-hour contact with a 1% and 10% dilution of the chemical. Based on the total MP, a classification (Cat 1, Cat 2, or No Cat) is predicted. The SMI test method correctly identified 65.8% of the Cat 1 chemicals with a specificity of 90.5% (low over-prediction rate for in vivo Cat 2 and No Cat chemicals). Mispredictions were predominantly unidirectional towards lower classifications with 26.7% of the liquids and 40% of the solids being underpredicted. In general, the performance was better for liquids than for solids with respectively 76.5% vs 57.1% (Cat 1), 61.5% vs 50% (Cat 2), and 87.5% vs 85.7% (No Cat) being identified correctly.

摘要

眼刺激性评估是工业和消费品安全评价的国际监管要求。尽管有许多体外眼刺激性检测方法,但单凭这些方法并不能完全对化学品进行分类。CEFIC-LRI-AIMT6-VITO CON4EI(体外眼刺激测试策略协会)项目的目标是制定分级眼刺激性评估测试策略,以完全替代体内Draize 兔眼测试(OECD TG 405)。用七种检测方法对 80 种参考化学物质进行了检测,其中一种方法是 Slug 黏膜刺激性(SMI)检测方法。该方法测量在 1 小时内与 1%和 10%的化学物质稀释液接触过程中产生的黏液量(MP)。根据总 MP,预测分类(Cat 1、Cat 2 或无 Cat)。SMI 检测方法正确识别了 65.8%的 Cat 1 化学物质,特异性为 90.5%(对体内 Cat 2 和无 Cat 化学物质的预测率较低)。误报主要是单向向较低的分类,其中 26.7%的液体和 40%的固体被低估。一般来说,液体的性能优于固体,分别有 76.5%对 57.1%(Cat 1)、61.5%对 50%(Cat 2)和 87.5%对 85.7%(无 Cat)被正确识别。

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