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不同暴露场景对肺泡气中有机溶剂生物监测的影响。II. 1,1,1-三氯乙烷和三氯乙烯。

Effect of various exposure scenarios on the biological monitoring of organic solvents in alveolar air. II. 1,1,1-Trichloroethane and trichloroethylene.

作者信息

Laparé S, Tardif R, Brodeur J

机构信息

Département de médicine du travail et d'hygiène du milieu, Faculté de médecine, Université de Montréal Québec, Canada.

出版信息

Int Arch Occup Environ Health. 1995;67(6):375-94. doi: 10.1007/BF00381051.

Abstract

The purpose of the present study was to investigate the influence of different exposure scenarios on the elimination of trichloroethylene (TRI) and 1,1,1-trichloroethane (1,1,1-TRI) in alveolar air and other biological fluids in human volunteers. In addition, it was sought to establish an interactive process between experimental data gathering and simulation modeling in an attempt to predict the influence of the different scenarios of exposure to TRI and 1,1,1-TRI on their respective biological monitoring indices and thus to establish the flexibility and validity of simulation models. Two adult male and two adult female Caucasian volunteers were exposed by inhalation, in a dynamic controlled exposure chamber, to various concentrations of TRI (12.5-25 ppm) or 1,1,1-TRI (87.5-175 ppm) in order to establish the influence of exposure concentration, duration of exposure, variation of concentration within day, and work load on biological exposure indices. The concentrations of unchanged solvents in end-exhaled air and in blood as well as the urinary excretion of trichloroethanol (TCE) and trichloroacetic acid (TCA) were determined. The results show that doubling the exposure concentration for both solvents led to a proportional increase in the concentrations of unchanged solvents in alveolar air and blood at the end of a 7-h exposure period; this proportionality was still observable in 1,1,1-TRI expired air samples 16 h after the end of the third exposure day. In the case of urinary excretion of TCE and TCA, the proportionality between excretion and exposure concentration was not as good. It was once again observed that the slow excretion of both metabolites leads to progressive cumulation and that their urinary determination is subject to considerable interindividual variations. After adjustment (lowering) of the exposure concentration to account for a prolongation of the duration of exposure (from 8 to 12 h) it was observed that the concentrations of TRI or 1,1,1-TRI towards the end of both exposure periods are more a reflection of the actual exposure concentration than of the exposure duration. Despite important interindividual variations, these adjusted and nonadjusted exposures led to almost identical average total urinary excretion over 24 h) of TCE and TCA after exposure to 1,1,1-TRI, as was also the case for TCE but not for TCA after exposure to TRI. Induced within-day variations in the exposure concentration led to corresponding but not proportional changes in alveolar air concentrations for both solvents. After exposure to peak concentrations there was a lag period before alveolar air concentrations returned to prepeak levels. At the end of repeated 10-min periods of physical exercise at 50 W, alveolar air concentrations of TRI were increased by 50% while those of 1,1,1-TRI increased by only 12%. After optimization of the physiologically based toxicokinetic model parameters with experimental data collected during the first exposure scenario, results pertaining to the three other scenarios were adequately simulated by the optimized models. Overall, the results of the present study suggest that alveolar air solvent concentration is a reliable index of exposure to both TRI and 1,1,1-TRI under various experimental exposure scenarios. These results also suggest that urinary excretion of TCE and TCA must be interpreted with caution when assessing exposure to either solvents. For exposure situations likely to be encountered in the workplace, physiologically based toxicokinetic modeling appears to be a useful tool both for developing strategies of biological monitoring of exposure to volatile organic solvents and for predicting alveolar air concentrations under a given set of exposure conditions.

摘要

本研究的目的是调查不同暴露场景对人体志愿者肺泡气及其他生物体液中三氯乙烯(TRI)和1,1,1 - 三氯乙烷(1,1,1 - TRI)消除的影响。此外,还试图在实验数据收集与模拟建模之间建立一个交互过程,以预测不同的TRI和1,1,1 - TRI暴露场景对其各自生物监测指标的影响,从而确定模拟模型的灵活性和有效性。两名成年男性和两名成年女性白人志愿者在动态控制的暴露舱中通过吸入接触各种浓度的TRI(12.5 - 25 ppm)或1,1,1 - TRI(87.5 - 175 ppm),以确定暴露浓度、暴露持续时间、日内浓度变化和工作量对生物暴露指标的影响。测定了呼出气末和血液中未变化溶剂的浓度以及三氯乙醇(TCE)和三氯乙酸(TCA)的尿排泄量。结果表明,两种溶剂的暴露浓度加倍会导致在7小时暴露期结束时肺泡气和血液中未变化溶剂的浓度成比例增加;在第三次暴露日结束16小时后的1,1,1 - TRI呼出气体样本中仍可观察到这种比例关系。就TCE和TCA的尿排泄而言,排泄与暴露浓度之间的比例关系并不那么好。再次观察到两种代谢物排泄缓慢导致逐渐累积,并且它们的尿测定存在相当大的个体间差异。在调整(降低)暴露浓度以考虑暴露持续时间延长(从8小时延长至12小时)后,观察到在两个暴露期结束时TRI或1,1,1 - TRI的浓度更多地反映实际暴露浓度而非暴露持续时间。尽管存在重要的个体间差异,但这些调整和未调整的暴露导致在暴露于1,1,1 - TRI后24小时内TCE和TCA的平均总尿排泄量几乎相同,暴露于TRI后TCE的情况也是如此,但TCA并非如此。暴露浓度的日内诱导变化导致两种溶剂的肺泡气浓度发生相应但不成比例的变化。暴露于峰值浓度后,肺泡气浓度恢复到峰值前水平之前有一个滞后阶段。在50 W下进行重复的10分钟体育锻炼结束时,TRI的肺泡气浓度增加了50%,而1,1,1 - TRI的肺泡气浓度仅增加了12%。在使用首次暴露场景期间收集的实验数据对基于生理的毒代动力学模型参数进行优化后,优化后的模型对其他三种场景的结果进行了充分模拟。总体而言,本研究结果表明,在各种实验暴露场景下,肺泡气溶剂浓度是暴露于TRI和1,1,1 - TRI的可靠指标。这些结果还表明,在评估对任何一种溶剂的暴露时,必须谨慎解释TCE和TCA的尿排泄情况。对于工作场所可能遇到的暴露情况,基于生理的毒代动力学建模似乎是一种有用的工具,既用于制定挥发性有机溶剂暴露的生物监测策略,也用于预测给定暴露条件下的肺泡气浓度。

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