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Dermal Advanced REACH Tool (dART)-Development of a Dermal Exposure Model for Low-Volatile Liquids

机译:皮肤先进的触及工具(DART) - 低挥发性液体的真皮暴露模型的开发

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This article describes the development of a mechanistic model for underpinning the dermal Advanced REACH Tool (dART), an extension of the existing ART model and its software platform. It was developed for hand exposure to low volatile liquids (vapour pressure <= 10 Pa at 20 degrees C) including solids-in-liquid products. The model is based on an existing conceptual dermal source-receptor model that has been integrated into the ART framework. A structured taxonomy of workplace activities referred to as activity classes are adopted from ART. Three key processes involved in mass transport associated with dermal exposure are applied, i.e. deposition, direct emission and contact, and transfer. For deposition, the model adopts all the relevant modifying factors (MFs) applied in ART. In terms of direct emission and contact (e.g. splashes) and transfer (e.g. hand-surface contacts), the model defines independent principal MFs, i.e. substance-related factors, activity-related factors, localized- and dispersion control and exposed surface area of the hands. To address event-based exposures as much as possible, the model includes crucial events during an activity (e.g. hand immersions) and translates objective information on tools and equipment (manual or automated) to probable events (e.g. splashes) and worker behaviours (e.g. surface contacts). Based on an extensive review of peer-reviewed literature and unpublished field studies, multipliers were assigned to each determinant and provide an approximated (dimensionless) numerical value. In the absence of (sufficient) evidence, multipliers were assigned to determinants based on assumptions made during discussions by experts in the consortium. A worked example is presented to illustrate the calculation of hand exposure for a specific scenario. The dART model is not yet implemented in the ART software platform, and a robust validation of the model is necessary to determine its predictive ability. With advancing knowledge on dermal exposure and its determinants, this model will require periodic updates and refinements, in addition to further expansion of the applicability domain of the model.
机译:本文介绍了用于支撑真皮高级覆盖工具(DART)的机械模型的开发,即现有艺术模型及其软件平台的扩展。它是用于手动暴露于低挥发性液体(在20度c时蒸汽压力<= 10 pa)的手部开发的。该模型基于已集成到艺术框架中的现有概念皮肤源受体模型。从艺术中采用了称为活动类别的工作场所活动的结构性分类学。应用与真皮暴露相关的大规模运输的三个关键过程,即沉积,直接发射和接触以及转移。对于沉积,该模型采用了在ART中应用的所有相关修改因素(MF)。在直接发射和接触(例如,飞溅)和转移(例如手持式接触)方面,该模型定义了独立的主MFS,即与物质相关因素,与活动相关因素,局部和分散控制和外观控制以及暴露的表面积手。为了尽可能地解决基于事件的暴露,该模型包括活动期间的关键事件(例如,浸入手工浸入),并将有关工具和设备(手动或自动化)的客观信息转换为可能的事件(例如,飞溅)和工人行为(例如表面表面)联系人)。基于对同行评审文献的广泛综述和未发表的现场研究,将乘数分配给每个决定因素,并提供近似(无量纲)的数值。在没有(足够的)证据的情况下,根据财团专家在讨论期间做出的假设将乘数分配给了决定因素。提出了一个工作示例,以说明针对特定情况的手动暴露的计算。 DART模型尚未在ART软件平台中实现,并且对模型的强大验证对于确定其预测能力是必要的。借助有关真皮暴露及其决定因素的知识,此模型还需要定期更新和改进,除了进一步扩展模型的适用性域。

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