了解时间活动模式以改善个人暴露的测量:一个探索性和实验性研究
Zhenglei Li1, Yan Ding2, Danlu Wang3
1State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China.
Environmental pollution (Barking, Essex : 1987)
|July 10, 2023
概括
一个新的基于场景的模型准确地估计了个人从微颗粒物 (PM2.5) 中接触重金属 (HMs) 的情况. 与传统的环境监测相比,这种方法可以改善对大量人群的健康风险评估.
科学领域:
- 环境健康 环境健康
- 暴露科学 暴露科学
- 毒理学 毒理学 毒理学
背景情况:
- 环境细颗粒物 (PM2.5) 和其组成部分经常被用作个人暴露的代理物.
- 准确且具有成本效益的个人暴露监测仍然是一个挑战.
研究的目的:
- 提出并验证基于场景的暴露模型,以精确估计个人重金属 (HM) 暴露.
- 使用开发的模型评估与个人HM暴露相关的健康风险.
主要方法:
- 开发了一个基于场景的暴露模型,集成了场景特定的HM度和时间活动模式.
- 个人暴露水平与环境PM2.5和HM度进行比较.
- 评估了大量人口样本的致癌和非致癌健康风险.
主要成果:
- 个人对PM2.5和HM的暴露水平与环境水平显著不同 (个人/环境比 ~2).
- 基于场景的模型将评估错误减少了26.1-45.4%.
- 来自 (As) 的致癌风险超过1x10^-6;发现了来自As, (Cd), (Ni) 和 (Mn) 的非致癌风险.
结论:
- 基于场景的暴露模型是个人暴露监测环境度的优越替代方案.
- 这种方法提高了大规模研究中个人暴露监测和健康风险评估的可行性.
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