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加油站苯暴露工人健康风险评估的生物基质。

Biomatrix of health risk assessment of benzene-exposed workers at Thai gasoline stations.

机构信息

Department of Environmental Health, Occupational Health and Safety, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.

Department of Epidemiology and Biostatistics, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.

出版信息

J Occup Health. 2021 Jan;63(1):e12307. doi: 10.1002/1348-9585.12307.

Abstract

OBJECTIVE

This study assessed the health risk of benzene exposure among Thai gasoline station workers through biomarker detection and experience of adverse symptoms.

METHODS

Trans, trans-muconic acid (tt-MA) metabolites of benzene were analyzed from spot urine sampled among gasoline station workers after shift work using HPLC-UV. Air benzene monitoring was done with an active sampler connected to a charcoal sorbent tube, and analyzed by GC-FID. The health risk was calculated by using the biomatrix of the likelihood of benzene exposure and the severity of adverse symptoms.

RESULTS

The tt-MA concentration, among 235 workers, ranged from less than 10-2159 µg/g Cr, which corresponded to the air benzene concentration range of <0.1 to 65.8 ppb. In total, 32.3% of workers had a higher than acceptable risk level and there was a significant association between gasoline station work zones and the likelihood of benzene exposure as well as the health risk of workers. The health risk levels estimated from the biomarker monitoring were consistent with the risk matrix of air benzene monitoring.

CONCLUSION

This tt-MA biomarker monitoring and biomatrix of health risk assessment is suggested as useful for health surveillance of gasoline station workers exposed to benzene.

摘要

目的

本研究通过生物标志物检测和不良症状体验来评估泰国加油站工人接触苯的健康风险。

方法

使用高效液相色谱-紫外分光光度法(HPLC-UV)检测轮班后加油站工人的点尿样中的反,反-粘康酸(tt-MA)苯代谢物。使用与活性炭吸附管相连的主动采样器进行空气苯监测,并通过气相色谱-火焰离子化检测器(GC-FID)进行分析。使用苯暴露的可能性和不良症状严重程度的生物矩阵来计算健康风险。

结果

在 235 名工人中,tt-MA 浓度范围为<10-2159μg/g Cr,相应的空气苯浓度范围为<0.1 至 65.8 ppb。总共有 32.3%的工人处于不可接受的高风险水平,并且加油站工作区域与苯暴露的可能性以及工人的健康风险之间存在显著关联。生物标志物监测估计的健康风险水平与空气苯监测的风险矩阵一致。

结论

本研究建议使用 tt-MA 生物标志物监测和健康风险评估生物矩阵来对接触苯的加油站工人进行健康监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a5/8710842/09d6208b6c66/JOH2-63-e12307-g001.jpg

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