Suppr超能文献

估算化学物质的急性膳食摄入量。

Estimating acute dietary intakes of chemicals.

作者信息

Tennant D R

机构信息

TAS-ENVIRON, London, United Kingdom.

出版信息

Regul Toxicol Pharmacol. 1999 Oct;30(2 Pt 2):S99-102. doi: 10.1006/rtph.1999.1333.

Abstract

In some cases a single dose above an acceptable daily intake could elicit an adverse effect. In other cases a cumulative dose over several days may be necessary before an effect is expressed. Estimates of acute intake must relate to what is known about the toxicokinetics of the substance, in relation to the toxicological studies associated with the relevant end point. This is because estimates of intake can vary considerably over even a few days in some circumstances. Acute reference doses should therefore be qualified by an exposure interval. Default values can introduce considerable conservatism into intake estimates. Techniques for estimating acute intakes are very varied. They can range in complexity from conservative screening methods to sophisticated techniques designed to simulate real situations. Monte Carlo models allow for the distributions of chemical concentrations and food consumption patterns to be taken into account. For acute dietary risk assessments very high upper percentile cutoffs are sometimes applied, even as high as 99.9%. However, assumptions applied in such methods can lead to misleading results. Great care must also be used when interpreting such statistics because uncertainty and inaccuracy in the data increase considerably in the upper "tail" of the distribution.

摘要

在某些情况下,单次剂量超过可接受的每日摄入量可能会引发不良反应。在其他情况下,可能需要数天的累积剂量才会表现出效应。急性摄入量的估计必须与该物质的毒代动力学相关知识以及与相关终点有关的毒理学研究联系起来。这是因为在某些情况下,即使在几天内摄入量的估计也可能有很大差异。因此,急性参考剂量应以暴露间隔来限定。默认值可能会使摄入量估计产生相当大的保守性。估计急性摄入量的技术多种多样。其复杂程度从保守的筛查方法到旨在模拟实际情况的复杂技术不等。蒙特卡罗模型考虑了化学物质浓度和食物消费模式的分布情况。对于急性膳食风险评估,有时会应用非常高的百分位数上限,甚至高达99.9%。然而,此类方法中所采用的假设可能会导致误导性结果。在解释此类统计数据时也必须格外小心,因为分布的上限“尾部”数据中的不确定性和不准确性会大幅增加。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验