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Quantitative risk analysis of particulate matter in the air: interspecies extrapolation with bioassay and mathematical models.

机译:空气中颗粒物的定量风险分析:利用生物测定和数学模型进行种间推断。

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We analyzed the health risk of particulate matters in the air to humans using bioassay data and a mathematical model. We designed an original dosimetry model to estimate the particle concentration in human respiratory organs, and the concentration of the inhaled particles at the target organ was used for interspecies extrapolation from rat to human. Our model is based on the conventional dosimetry model and deposition model in the previous literature, but clearance parameters have been newly introduced for the simulation of long-term exposure. Lung cancer was set as the risk endpoint in our risk study, and the dose-response relationship at the target organ (lung) was quantitatively analyzed by the benchmark dose (BMD) method. For interspecies extrapolation based on target organ concentration, we assumed benchmark concentration (BMC) related to 1% excess cancer in rats and humans, and the human equivalent concentration (HEC) was searched by back-estimation using our model. The obtained HEC was 948 to 1098 mg/m3, and the unit risk to humans was 9.11 to 10.5 x 10(-9) per 1 microg/m3 of particulate matter. The estimated cancer risk for Japanese people in general was estimated as approximately 9-10 persons per 100,000,000 when the particle concentration in the air is 10 microg/m3.
机译:我们使用生物测定数据和数学模型分析了空气中颗粒物对人类的健康风险。我们设计了一个原始的剂量学模型来估算人体呼吸器官中的颗粒浓度,并将目标器官中吸入颗粒的浓度用于从大鼠到人类的种间推断。我们的模型基于先前文献中的常规剂量学模型和沉积模型,但是间隙参数已被新引入以模拟长期暴露。在我们的风险研究中,肺癌被设置为风险终点,并通过基准剂量(BMD)方法定量分析了靶器官(肺癌)的剂量反应关系。对于基于目标器官浓度的种间推断,我们假设基准浓度(BMC)与大鼠和人类中1%的过量癌症相关,并使用我们的模型通过反推法搜索了人类等效浓度(HEC)。所获得的HEC为948至1098 mg / m3,对人的单位风险为每1微克/立方米颗粒物9.11至10.5 x 10(-9)。当空气中的颗粒浓度为10 microg / m3时,日本人的估计癌症风险通常估计为每10亿人约9-10人。

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