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使用荧光法在 SysDEA 项目中预测化学物质的皮肤暴露量。

Prediction of Dermal Exposure to Chemical Substances Using a Fluorescence Method within the SysDEA Project.

机构信息

Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.

Laboratory of Pesticides' Toxicology, Benaki Phytopathological Institute, Athens, Greece.

出版信息

Ann Work Expo Health. 2021 Jul 3;65(6):668-681. doi: 10.1093/annweh/wxaa118.

Abstract

Dermal exposure is an important exposure route for occupational exposure and risk assessment. A fluorescence method has been developed to quantify occupational dermal exposure based on a visualization technique, using Tinopal SWN as a fluorescent tracer. The method was developed within the framework of a large experimental study, the SysDEA project. In SysDEA, dermal exposure was measured with different methods for 10 simulated exposure situations by sampling powder and liquid formulations containing Tinopal SWN on coveralls and patches and subsequently chemically analysing them. For the fluorescence method, photographs of exposed volunteers who performed the experiments were taken inside a room which consisted of an optimized arrangement of several UV irradiating tube light brackets, reflective and non-reflective backgrounds for maximum light diffusion and a camera. Image processing analysis software processed these photographs to obtain corresponding light intensity in terms of summed pixel values. To be able to estimate the amount of Tinopal SWN, 25% of the measured data from the SysDEA experiments were used to calibrate by correlating the summed pixel values from the photographs to actual measured exposure values using a second order regression model. For spraying both high and low viscosity liquids, showing uniformly distributed exposure patterns, strong Pearson correlation coefficients (R > 0.77) were observed. In contrast, the correlations were either inconsistently poor (R = -0.17 to 0.28 for pouring, rolling high viscosity liquid, manually handling objects immersed in low viscosity liquid and handling objects contaminated with powder), moderate (R = 0.73 for dumping of powder), or strong (R = 0.83 and 0.77 for rolling low viscosity liquid and manually handling objects immersed in high viscosity liquid). A model for spraying was developed and calibrated using 25% of the available experimental data for spraying and validated using the remaining 75%. Under given experimental conditions, the fluorescence method shows promising results and can be used for the quantification of dermal exposure for different body parts (excluding hands) for spraying-like scenarios that have a more uniform exposure pattern, but more research is needed for exposure scenarios with less uniform exposure patterns. For the estimation of exposure levels, the surface loading limit should be lower than 1.5░µg/cm2 (a lower limit could not be quantified based on experiments conducted in this study) on a large surface, like a coverall, which should be ideally perpendicular to the camera.

摘要

皮肤接触是职业暴露和风险评估的重要暴露途径。已经开发出一种荧光方法,基于可视化技术,使用 Tinopal SWN 作为荧光示踪剂来量化职业性皮肤暴露。该方法是在大型实验研究项目 SysDEA 框架内开发的。在 SysDEA 中,通过在工作服和补丁上采样含有 Tinopal SWN 的粉末和液体制剂,并随后对其进行化学分析,使用不同方法测量了 10 种模拟暴露情况的皮肤暴露。对于荧光方法,在一个房间内拍摄进行实验的暴露志愿者的照片,该房间由几个紫外线照射管灯架的优化布置组成,使用反射和非反射背景以实现最大的光扩散,并配备了一个相机。图像处理分析软件处理这些照片,以获得相应的光强度,以总和像素值表示。为了能够估计 Tinopal SWN 的量,使用 SysDEA 实验的 25%的测量数据进行校准,通过使用二阶回归模型将照片中的总和像素值与实际测量的暴露值相关联来进行校准。对于喷涂高粘度和低粘度液体,观察到具有均匀分布暴露模式的情况下,强 Pearson 相关系数(R>0.77)。相比之下,相关性要么不一致(倾倒、滚动高粘度液体、手动处理浸入低粘度液体中的物体和处理受粉末污染的物体时,R =-0.17 至 0.28),要么中等(倾倒粉末时,R =0.73),要么强(滚动低粘度液体和手动处理浸入高粘度液体中的物体时,R =0.83 和 0.77)。开发了一种喷涂模型并使用喷涂的可用实验数据的 25%进行校准,使用剩余的 75%进行验证。在给定的实验条件下,荧光方法显示出有希望的结果,可以用于量化不同身体部位(不包括手)的皮肤暴露,对于具有更均匀暴露模式的喷涂样场景,但对于暴露模式不太均匀的场景,需要进一步研究。对于暴露水平的估计,表面负荷极限应低于 1.5µg/cm2(根据本研究进行的实验,无法确定下限),对于大面积,如工作服,其应理想地垂直于相机。

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