Application of statistical models to estimate the correlation between urinary benzene as biological indicator of exposure and air concentrations determined by personal monitoring.

Daniela Tolentino, Ezio Zenari, Maurizio Dall'Olio, Gabriella Ruani, Alfonso Gelormini, Gregorio Mirone
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Abstract

This study evaluated the correlation between benzene in urine and in workplace air at low airborne benzene levels (below 1 ppm). Eleven workers were monitored over a period of 1-4 days at a petrochemical plant in Italy; samples of end-of-shift urine and workplace air were analyzed for benzene. A significant correlation, with a coefficient of determination R(2)=0.63, was found between urine and airborne benzene, confirming the results of previous studies. Two different statistical models were utilized to estimate urine benzene values of 9-16 microg/L corresponding to the American Conference of Governmental Industrial Hygienists' threshold limit value (TLV) of 0.5 ppm in workplace air. Not withstanding the variability inherent to biological monitoring, the results suggest application of biomonitoring as a trigger for identification of lower exposure level below, but approaching the TLV. Additionally, the proposed benzene biomonitoring may be useful in evaluating PPE effectiveness and use characteristics as well as dermal contribution to total exposure.

应用统计模型估计尿苯暴露生物学指标与个人监测空气浓度之间的相关性。
本研究评估了低空气中苯含量(低于1ppm)时尿液中苯与工作场所空气中苯之间的相关性。在意大利的一家石化工厂,对11名工人进行了为期1-4天的监测;对轮班结束时的尿液和工作场所的空气样本进行了苯分析。尿液与空气中苯存在显著相关性,决定系数R(2)=0.63,证实了前人的研究结果。采用两种不同的统计模型估算工作场所空气中尿苯值为9-16 μ g/L,对应于美国政府工业卫生学家会议规定的0.5 ppm的阈值。尽管生物监测固有的可变性,但结果表明,生物监测的应用可以作为识别低于TLV但接近TLV的较低暴露水平的触发因素。此外,拟议的苯生物监测可能有助于评估个人防护用品的有效性和使用特征,以及皮肤对总暴露的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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