Armstrong Thomas W, Caldwell Daniel J, Verma Dave K
ExxonMobil Biomedical Sciences, Inc., Annandale, New Jersey 08801, USA.
J Occup Environ Hyg. 2005 Nov;2(11):600-7. doi: 10.1080/15459620500340822.
Past reviews of occupational exposure limit (OEL) adjustments have covered both decision logic and calculation methods to derive factors to assure protection of workers on extended (also known as unusual) work shifts. The approaches reviewed included several Haber's rule based methods, several variants of single compartment toxicokinetic (TK) models, and physiologically based pharmacokinetic modeling. These models calculate OEL adjustment factors based on the work shift and the uptake and elimination of the toxicant. A key parameter of the TK models is the biologic half-life of the toxicant, but reliable data for the half-life are not available for all substances of concern. A spreadsheet is presented that implements TK calculations, with one of the presented TK calculation alternatives not dependent on half-life data. This half-life data independent approach is suggested as a viable option for situations when the toxicant's half-life is unknown or uncertain.
以往对职业接触限值(OEL)调整的综述涵盖了决策逻辑和计算方法,以得出确保在延长(也称为非寻常)工作班次中保护工人的因素。所综述的方法包括几种基于哈伯法则的方法、单室毒代动力学(TK)模型的几种变体以及基于生理学的药代动力学建模。这些模型根据工作班次以及毒物的摄取和消除来计算OEL调整因子。TK模型的一个关键参数是毒物的生物半衰期,但并非所有相关物质都有可靠的半衰期数据。本文提供了一个实施TK计算的电子表格,其中一种呈现的TK计算方法不依赖于半衰期数据。当毒物的半衰期未知或不确定时,建议将这种不依赖半衰期数据的方法作为一种可行的选择。