Schinkel Jody, Ritchie Peter, Goede Henk, Fransman Wouter, van Tongeren Martie, Cherrie John W, Tielemans Erik, Kromhout Hans, Warren Nicholas
TNO, PO Box 360, 3700 AJ Zeist, The Netherlands.
Ann Occup Hyg. 2013 Jul;57(6):717-27. doi: 10.1093/annhyg/mes103. Epub 2013 Jan 9.
This article describes the structure, functionalities, and content of the Advanced REACH Tool (ART) exposure database (version 1.5). The incorporation of the exposure database into ART allows users who do not have their own measurement data for their exposure scenario, to update the exposure estimates produced by the mechanistic model using analogous measurement series selected from the ART exposure measurement database. Depending on user input for substance category and activity (sub)classes, the system selects exposure measurement series from the exposure database. The comprehensive scenario descriptions and summary statistics assist the user in deciding if the measurement series are indeed fully analogous. After selecting one or more analogous data sets, the data are used by the Bayesian module of the ART system to update the mechanistically modeled exposure estimates. The 1944 exposure measurements currently stored in the ART exposure measurement database cover 9 exposure situations for handling solid objects (n = 65), 42 situations for handling powders, granules, or pelletized material (n = 488), 5 situations for handling low-volatility liquids (n = 88), 35 situations for handling volatile liquids (n = 870), and 26 situations for handling liquids in which powders are dissolved or dispersed (resulting in exposure to mist) (n = 433). These 117 measurement series form a good basis for supporting user exposure estimates. However, by increasing the diversity of exposure situations and the number of measurement series in the database, the usefulness of the ART system will be further improved. Suggestions to stimulate the process of sharing exposure measurement data both to increase the available data in the ART and for other purposes are made.
本文介绍了高级REACH工具(ART)暴露数据库(版本1.5)的结构、功能和内容。将暴露数据库纳入ART,可使那些没有自身暴露场景测量数据的用户,利用从ART暴露测量数据库中选择的类似测量系列,更新由机理模型生成的暴露估计值。系统根据用户输入的物质类别和活动(子)类别,从暴露数据库中选择暴露测量系列。全面的场景描述和汇总统计数据有助于用户判断测量系列是否确实完全类似。选择一个或多个类似数据集后,ART系统的贝叶斯模块会使用这些数据来更新经机理建模的暴露估计值。ART暴露测量数据库目前存储的1944次暴露测量数据涵盖了9种处理固体对象的暴露情况(n = 65)、42种处理粉末、颗粒或造粒材料的情况(n = 488)、5种处理低挥发性液体的情况(n = 88)、35种处理挥发性液体的情况(n = 870)以及26种处理粉末溶解或分散于其中的液体(导致暴露于雾气)的情况(n = 433)。这117个测量系列为支持用户暴露估计提供了良好基础。然而,通过增加暴露情况的多样性和数据库中测量系列的数量,ART系统的实用性将得到进一步提高。文中还提出了一些建议,以促进暴露测量数据的共享过程,既增加ART中的可用数据,也用于其他目的。