人体呼吸道中大小分离颗粒物沉积的定量研究

B. Srimuruganandam
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引用次数: 8

摘要

背景:空气污染由于对人类健康和环境造成灾难性影响,已成为城市和农村部门的一个重大关切。颗粒物(PM)是标准污染物中至关重要的污染物,与人类死亡率和发病率密切相关。根据空气动力学尺寸,可将颗粒物分为粗颗粒物(PM10)和细颗粒物(PM2.5和PM1)。世界卫生组织最近的一项研究表明,PM已在全球造成700万人过早死亡。此外,国际癌症研究机构(IARC)将PM确定为致癌物质,因为它与肺癌有直接关系。呼吸道是PM进入人体的主要途径。因此,研究人体呼吸道中粗颗粒物和细颗粒物的沉积对健康风险评估具有重要意义。材料和方法:冬季,在印度泰米尔纳德邦金奈市的一条主干道路边,利用格林气溶胶光谱仪每小时测量PM10、PM2.5和PM1。使用多路径颗粒沉积模型(MPPD) 3.04版本研究了人体气道中的PM沉积。在MPPD模型中,考虑了真实人体肺的随机结构。在MPPD模型中,对不同呼吸情景(鼻腔、口腔和口鼻)下PM10、PM2.5和PM1三个粒径组分的沉积进行了评估。结果:PM10、PM2.5和PM1的MPPD模型得到的最高总沉积质量率分别为942 ng min-1、345 ng min-1和104 ng min-1。在头部也评估了最大沉积质量率(PM10 = 904 ng min-1;PM2.5 = 244 ng min-1;PM1 = 57 ng min-1),气管支气管(PM10 = 284 ng min-1;PM2.5 = 60 ng min-1;PM1 = 24 ng min-1)和肺(PM10 = 32 ng min-1;PM2.5 = 89 ng min-1;PM1 = 27 ng min-1)区域。在头部区域,最大的沉积是由鼻腔呼吸引起的;而在气管支气管(TB)和肺部,口腔呼吸导致更高的沉积。结果还表明,对于所有PM尺寸,叶状方向的沉积顺序为:右上>左下>左上>右中>右下。此外,气道清除结果表明,PM在TB区域的清除速度比肺泡区域快。结论:PM10在头部区域有较高的沉积,而PM2.5和PM1在结核区和肺区有较高的沉积。这表明PM在肺内的沉积受其大小和其他几种沉积机制(惯性撞击、沉积、扩散和拦截)的影响。此外,本研究结果可用于评估沉积PM的氧化电位和毒性等健康风险。
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Quantification of Size Segregated Particulate Matter Deposition in Human Airways
Background: Air pollution has become a significant concern in both urban and rural sectors due to its catastrophic effect on human health and the environment. Particulate matter (PM) is crucial among criteria pollutants and is well correlated with human mortality and morbidity. Based on aerodynamic size, PM is classified into coarse (PM10) and fine (PM2.5 and PM1). A recent study by World Health Organization showed that PM has caused 7 million premature deaths globally. Also, the International Agency for Research on Cancer (IARC) identified PM as carcinogenic as it is directly related to lung cancer. Human airway is the primary pathway for PM to enter the human body. Hence the study on coarse and fine PM deposition in the human respiratory tract is essential for health risk assessments. Materials and Methods: Hourly measurements of PM10, PM2.5 and PM1 are measured during a winter using Grimm aerosol spectrometer near an arterial roadside in Chennai city of Tamil Nadu, India. PM deposition in the human airway is investigated using the Multiple-Path Particle Deposition Model (MPPD) version 3.04. In MPPD model, the stochastic structure which depicts the real human lung is considered. The deposition in MPPD model is assessed for three size fractions, i.e. PM10, PM2.5 and PM1 under different breathing scenarios viz. nasal, oral, and oronasal. Results: Highest total deposited mass rate obtained from the MPPD model for PM10, PM2.5, and PM1 are 942 ng min-1, 345 ng min-1, and 104 ng min-1, respectively. The maximum deposited mass rate is also assessed in the head (PM10 = 904 ng min-1; PM2.5 = 244 ng min-1; PM1 = 57 ng min-1), tracheobronchial (PM10 = 284 ng min-1; PM2.5 = 60 ng min-1; PM1 = 24 ng min-1) and pulmonary (PM10 = 32 ng min-1; PM2.5 = 89 ng min-1; PM1 = 27 ng min-1) regions. In the head region, maximum deposition is caused by nasal breathing; whereas, tracheobronchial (TB) and pulmonary regions, the oral breathing leads to higher deposition. Results also showed that for all PM sizes the lobe wise depositions are in the following order: right upper > left lower > left upper > right middle > right lower. Further, the airway clearance results indicated that PM removal is faster in the TB region than the alveolar region. Conclusion: PM10 has a higher deposition in the head region whereas PM2.5 and PM1 deposition is higher in the TB and pulmonary regions. This indicates that PM deposition inside lungs is influenced by its size and several other deposition mechanisms viz. inertial impaction, sedimentation, diffusion and interception. Further, this study results can be utilized for assessing health risks such as oxidative potential and toxicity of deposited PM.
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