从基于pdm的暴露分析到机器学习预测的血清浓度:职业和环境情景下SVOC暴露差异。

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Zihao Zhang, Yan Wang, Yubin Wu, Ruize Chen, Hongbo Zheng
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引用次数: 0

摘要

不同人群中职业性暴露于半挥发性有机化合物(SVOCs)尚未引起足够的重视。我们使用基于聚二甲基硅氧烷(PDMS)的被动采样结合机器学习驱动的血清浓度预测,调查了废物处理工人的职业暴露和大学生对邻苯二甲酸酯(PAEs)、有机磷酸酯(OPEs)和多环芳烃(PAHs)的日常暴露。学生的SVOC暴露因其专业活动(如实验)而异,但宿舍是一个重要的来源。不同车间工人的SVOC暴露量不同,每个车间都是主要来源。工人中PAEs、OPEs和PAHs的暴露浓度分别是学生的2.24倍、6.87倍和14.9倍,学生中三(2,4-二叔丁基苯基)磷酸(TDTBPP)的暴露浓度是工人的37.8倍。工人和学生的PAEs或PAHs来源相对相似,而OPEs的来源表现出更大的复杂性,特别是对于TDTBPP。研究发现,接触邻苯二甲酸二(2-乙基己基)酯(DEHP)、苯并[a]芘(BaP)和萘(NAP)的废物处理工人以及接触邻苯二甲酸二(2-乙基己基)酯(DEHP)的学生存在显著的癌症风险。机器学习预测显示,尽管环境暴露较高,但工人中PAEs和OPEs的预测血清浓度总体上与男学生相当,但远高于女学生,而PAHs的预测血清浓度在所有组中都具有可比性。蒙特卡罗模拟风险评估表明,如果不采取防护措施,99.7%的工人和55.0%的学生可能面临DEHP暴露风险。这强调了改善通风和减少增塑剂使用的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From PDMS-based exposure profiling to machine learning-predicted serum concentrations: SVOC exposure disparities across occupational and environmental scenarios.

Occupational exposure to semi-volatile organic compounds (SVOCs) among various population groups has garnered insufficient attention. We investigated the occupational exposures of waste disposal workers and daily exposure of university students to phthalates (PAEs), organophosphate esters (OPEs), and polycyclic aromatic hydrocarbons (PAHs) using polydimethylsiloxane (PDMS)-based passive sampling combined with machine learning-driven serum concentration predictions. The SVOC exposures of students varied depending on their professional activities, e.g., experiments, but dormitories emerge as a significant source. The SVOC exposures among workers varied across different workshops with each acting as the dominant source. The exposure concentrations of PAEs, OPEs, and PAHs among workers were 2.24 times, 6.87 times, and 14.9 times higher than those among students, respectively, whereas the exposure of tris(2,4-di-tert-butylphenyl) phosphate (TDTBPP) among students was 37.8 times higher than that among workers. Sources of PAEs or PAHs for workers and students were relatively similar, while sources of OPEs exhibited greater complexity, especially for TDTBPP. Significant cancer risks were identified for waste disposal workers exposed to di(2-ethylhexyl) phthalate (DEHP), benzo[a]pyrene (BaP), and naphthalene (NAP), and for students subjected to DEHP. Machine learning prediction revealed that despite higher environmental exposures, the predicted serum concentrations of PAEs and OPEs among workers were generally comparable with those of male students but much higher than those of female students, while the predicted serum concentrations of PAHs were comparable across all groups. Risk assessments using Monte Carlo simulations indicated that without protective measures, 99.7% of workers and 55.0% students may face DEHP exposure risk. This emphasized the need for improved ventilation and reduced plasticizer use.

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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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