Netherlands Organisation for Applied Scientific Research (TNO), Risk Assessment for Products in Development (RAPID), The Netherlands.
Health and Safety Executive (HSE), Harpur Hill, Buxton, UK.
Ann Work Expo Health. 2019 Jul 24;63(6):624-636. doi: 10.1093/annweh/wxy106.
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°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 Based on an extensive review of peer-reviewed literature and unpublished field studies, multipliers were assigned to each determinant and provide an approximated (dimensionless) numerical value.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.
本文描述了一个机械模型的开发,该模型为现有的 ART 模型及其软件平台提供了基础,用于支持皮肤接触的高级 REACH 工具(dART)。该模型用于低挥发性液体(20°C 时蒸气压≤10 Pa 的液体)的手部暴露,包括固液产品。该模型基于现有的皮肤源-受体概念模型,并将其集成到 ART 框架中。采用了一种称为活动类别的工作场所活动结构化分类法,源自 ART。应用于皮肤暴露相关质量传输的三个关键过程,即沉积、直接排放和接触以及转移。对于沉积,模型采用了 ART 中应用的所有相关修正因子(MFs)。对于直接排放和接触(例如飞溅)以及转移(例如手-表面接触),模型定义了独立的主要 MF,即物质相关因子、活动相关因子、局部和分散控制以及手部暴露面积。为了尽可能涵盖基于事件的暴露,该模型包括活动期间的关键事件(例如手部浸入),并将工具和设备(手动或自动)的客观信息转化为可能的事件(例如飞溅)和工人行为(例如表面接触)。在对同行评议文献和未发表的现场研究进行广泛审查的基础上,为每个决定因素分配了乘数,并提供了一个近似(无量纲)数值。在缺乏(足够)证据的情况下,乘数是根据联合体专家在讨论中提出的假设分配给决定因素的。提供了一个示例,说明如何为特定场景计算手部暴露。dART 模型尚未在 ART 软件平台中实现,因此需要对模型进行稳健验证,以确定其预测能力。随着对皮肤暴露及其决定因素的认识不断提高,该模型将需要定期更新和改进,以及进一步扩展模型的适用范围。