Lee Eun Gyung, Slaven James, Bowen Russell B, Harper Martin
National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA.
Ann Occup Hyg. 2011 Jan;55(1):16-29. doi: 10.1093/annhyg/meq067. Epub 2010 Nov 3.
The Control of Substances Hazardous to Health (COSHH) Essentials model was evaluated using full-shift exposure measurements of five chemical components in a mixture [acetone, ethylbenzene, methyl ethyl ketone, toluene, and xylenes] at a medium-sized plant producing paint materials. Two tasks, batch-making and bucket-washing, were examined. Varying levels of control were already established in both tasks and the average exposures of individual chemicals were considerably lower than the regulatory and advisory 8-h standards. The average exposure fractions using the additive mixture formula were also less than unity (batch-making: 0.25, bucket-washing: 0.56) indicating the mixture of chemicals did not exceed the combined occupational exposure limit (OEL). The paper version of the COSHH Essentials model was used to calculate a predicted exposure range (PER) for each chemical according to different levels of control. The estimated PERs of the tested chemicals for both tasks did not show consistent agreement with exposure measurements when the comparison was made for each control method and this is believed to be because of the considerably different volatilities of the chemicals. Given the combination of health hazard and exposure potential components, the COSHH Essentials model recommended a control approach 'special advice' for both tasks, based on the potential reproductive hazard ascribed to toluene. This would not have been the same conclusion if some other chemical had been substituted (for example styrene, which has the same threshold limit value as toluene). Nevertheless, it was special advice, which had led to the combination of hygienic procedures in place at this plant. The probability of the combined exposure fractions exceeding unity was 0.0002 for the batch-making task indicating that the employees performing this task were most likely well protected below the OELs. Although the employees involved in the bucket-washing task had greater potential to exceed the threshold limit value of the mixture (P > 1 = 0.2375), the expected personal exposure after adjusting for the assigned protection factor for the respirators in use would be considerably lower (P > 1 = 0.0161). Thus, our findings suggested that the COSHH essentials model worked reasonably well for the volatile organic chemicals at the plant. However, it was difficult to override the reproductive hazard even though it was meant to be possible in principle. Further, it became apparent that an input of existing controls, which is not possible in the web-based model, may have allowed the model be more widely applicable. The experience of using the web-based COSHH Essentials model generated some suggestions to provide a more user-friendly tool to the model users who do not have expertise in occupational hygiene.
在一家生产涂料材料的中型工厂,使用对混合物中五种化学成分[丙酮、乙苯、甲乙酮、甲苯和二甲苯]的全时段暴露测量数据,对《控制危害健康物质条例》(COSHH)基础模型进行了评估。研究了两项任务,即配料和洗桶。这两项任务中已建立了不同程度的控制措施,且各化学品的平均暴露量远低于监管和咨询性的8小时标准。使用添加剂混合物公式计算的平均暴露分数也小于1(配料:0.25,洗桶:0.56),表明化学品混合物未超过职业接触限值(OEL)的总和。使用COSHH基础模型的纸质版,根据不同控制水平计算每种化学品的预测暴露范围(PER)。当针对每种控制方法进行比较时,两项任务中测试化学品的估计PER与暴露测量结果并不一致,据信这是由于化学品挥发性差异很大所致。考虑到健康危害和暴露潜在因素的综合影响,基于归因于甲苯的潜在生殖危害,COSHH基础模型针对两项任务均推荐了“特别建议”的控制方法。如果替换某些其他化学品(例如与甲苯具有相同阈限值的苯乙烯),结论可能会有所不同。尽管如此,正是这一特别建议促成了该工厂现有卫生程序的综合实施。配料任务中综合暴露分数超过1的概率为0.0002,这表明执行该任务的员工很可能在OELs以下得到了良好保护。尽管参与洗桶任务的员工超过混合物阈限值的可能性更大(P>1 = 0.2375),但在根据所使用呼吸器的指定防护因数进行调整后,预期的个人暴露量将大幅降低(P>1 = 0.0161)。因此,我们的研究结果表明,COSHH基础模型对于该工厂的挥发性有机化学品运行效果相当不错。然而,尽管原则上是可行的,但很难忽视生殖危害因素。此外,很明显,基于网络的模型无法输入现有控制措施,而这可能会使该模型具有更广泛的适用性。使用基于网络的COSHH基础模型的经验产生了一些建议,以便为没有职业卫生专业知识的模型用户提供一个更用户友好的工具。