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验证 ECETOC TRA 皮肤暴露模型。

Validation of the dermal exposure model in ECETOC TRA.

机构信息

Triskelion BV, Utrechtseweg 48, 3704 HE Zeist, The Netherlands.

TNO, Utrechtseweg 48, 3704 HE Zeist, The Netherlands.

出版信息

Ann Work Expo Health. 2017 Aug 1;61(7):854-871. doi: 10.1093/annweh/wxx059.

Abstract

The ECETOC TRA model (presently version 3.1) is often used to estimate worker inhalation and dermal exposure in regulatory risk assessment. The dermal model in ECETOC TRA has not yet been validated by comparison with independent measured exposure levels. This was the goal of the present study. Measured exposure levels and relevant contextual information were gathered via literature search, websites of relevant occupational health institutes and direct requests for data to industry. Exposure data were clustered in so-called exposure cases, which are sets of data from one data source that are expected to have the same values for input parameters in the ECETOC TRA dermal exposure model. For each exposure case, the 75th percentile of measured values was calculated, because the model intends to estimate these values. The input values for the parameters in ECETOC TRA were assigned by an expert elicitation and consensus building process, based on descriptions of relevant contextual information.From more than 35 data sources, 106 useful exposure cases were derived, that were used for direct comparison with the model estimates. The exposure cases covered a large part of the ECETOC TRA dermal exposure model. The model explained 37% of the variance in the 75th percentiles of measured values. In around 80% of the exposure cases, the model estimate was higher than the 75th percentile of measured values. In the remaining exposure cases, the model estimate may not be sufficiently conservative.The model was shown to have a clear bias towards (severe) overestimation of dermal exposure at low measured exposure values, while all cases of apparent underestimation by the ECETOC TRA dermal exposure model occurred at high measured exposure values. This can be partly explained by a built-in bias in the effect of concentration of substance in product used, duration of exposure and the use of protective gloves in the model. The effect of protective gloves was calculated to be on average a factor of 34 in this data set, while factors of five to ten were used in the model estimations. There was also an effect of the sampling method in the measured data on the exposure levels. Exposure cases where sampling was done via an interception method, such as gloves, on average showed a factor of six higher 75th percentiles of measured values than exposure cases where sampling was done via a removal method, such as hand washing. This may partly be responsible for the apparent underestimation of dermal exposure by the model at high exposure values. However, there also appeared to be a relation between expected exposure level (as indicated by the model estimate) and the choice of sampling method.In this study, solid substances used in liquid products were treated as liquids with negligible volatility. The results indicate that the ECETOC TRA dermal exposure model performs equally well for these substances as for liquids. There were suggestions of a difference in performance of the model between solids and liquids.For several parts of the ECETOC TRA dermal model, no or hardly any measured dermal exposure data were available. Therefore, gathering of more dermal exposure levels is recommended, specifically for situations not yet sufficiently covered in the present data set.

摘要

ECETOC TRA 模型(目前为版本 3.1)常用于监管风险评估中估计工人吸入和皮肤接触暴露情况。ECETOC TRA 中的皮肤接触模型尚未通过与独立测量的暴露水平进行比较来验证。这是本研究的目标。通过文献检索、相关职业健康机构的网站以及直接向行业请求数据,收集了测量的暴露水平和相关背景信息。暴露数据被聚类为所谓的暴露情况,即来自一个数据源的一组数据,预计这些数据在 ECETOC TRA 皮肤接触模型中的输入参数具有相同的值。对于每个暴露情况,都计算了测量值的第 75 个百分位数,因为模型旨在估计这些值。ECETOC TRA 中参数的输入值是通过专家征询和共识建立过程分配的,该过程基于相关背景信息的描述。从 35 多个数据源中得出了 106 个有用的暴露情况,这些暴露情况用于与模型估计值进行直接比较。暴露情况涵盖了 ECETOC TRA 皮肤接触模型的很大一部分。该模型解释了测量值第 75 个百分位数方差的 37%。在大约 80%的暴露情况中,模型估计值高于测量值的第 75 个百分位数。在其余的暴露情况中,模型估计值可能不够保守。模型显示出一种明显的偏差,即在低测量暴露值时,皮肤接触暴露严重高估,而 ECETOC TRA 皮肤接触模型所有明显低估的情况都发生在高测量暴露值时。这部分可以通过模型中内置的物质在产品中的浓度、暴露持续时间和使用防护手套的影响的偏差来解释。在这个数据集,防护手套的影响平均计算为 34 倍,而模型估计值则使用了 5 到 10 倍。测量数据中的采样方法也对暴露水平有影响。通过拦截方法(如手套)进行采样的暴露情况,测量值的第 75 个百分位数平均比通过去除方法(如洗手)进行采样的暴露情况高 6 倍。这可能部分解释了模型在高暴露值时对皮肤接触暴露的明显低估。然而,在预期暴露水平(由模型估计值指示)和采样方法的选择之间似乎也存在关系。在本研究中,用于液体产品中的固体物质被视为挥发性可忽略不计的液体处理。结果表明,ECETOC TRA 皮肤接触模型对这些物质的性能与对液体的性能相同。有迹象表明,模型在固体和液体之间的性能存在差异。对于 ECETOC TRA 皮肤模型的几个部分,几乎没有或没有测量的皮肤接触暴露数据。因此,建议收集更多的皮肤接触暴露水平,特别是在目前数据集中尚未充分涵盖的情况下。

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