Relationship between Aerosols Exposure and Lung Deposition Dose

气溶胶 粒子(生态学) 粒径 沉积(地质) 吸入 超细粒子 粒度分布 粒子数 吸入染毒 颗粒沉积 质量浓度(化学) 化学 材料科学 分析化学(期刊) 环境化学 纳米技术 医学 物理 核物理学 内科学 生物 古生物学 沉积物 物理化学 海洋学 等离子体 有机化学 地质学 解剖
作者
Tobias Hammer,Hanchao Gao,Zhengyuan Pan,Jing Wang
出处
期刊:Aerosol and Air Quality Research [Taiwan Association for Aerosol Research]
卷期号:20 (5): 1083-1093 被引量:33
标识
DOI:10.4209/aaqr.2020.01.0033
摘要

We conducted a systematic study to evaluate the relationship of exposure to aerosols with specific focus on airborne ultrafine particles and the effective dose in the lungs of humans or animals. By multiplying particle concentration size distributions with lung deposition curves of the Multiple-Path Particle Dosimetry (MPPD) model, the lung deposition concentrations, which could be directly linked to the effective dose via inhalation rate and exposure time, were estimated. The calculations were performed on a number of representative particle size distributions ex-tracted from measurement data in the literature. Apart from the evaluation of the lung depos-ited particle concentration, we investigated whether and how the lung deposited particle con-centration depended on the diameter of the main mode of the considered size distribution and if there was a potential animal surrogate for human beings in inhalation exposure studies. The average deep-lung deposited fraction (sum of alveolar and trachea-bronchial deposited concentrations divided by the ambient concentration) depended on the inhaled aerosol size distribution and the considered metric (number, surface area or mass). It was slightly higher in terms of number than for surface area and mass. Moreover, the lung deposited particle frac-tion depended also on the diameter of the main mode of the inhaled aerosol size distribution: the smaller the diameter of the main mode, the higher the lung deposited particle fraction. Our study aims at a better understanding of the correlations between the particle parameters meas-ured in exposure studies and the dose metrics in the lung, which in turn facilitates the risk as-sessment of ambient ultrafine particles.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
fred发布了新的文献求助10
1秒前
李爱国应助会飞的小猪采纳,获得100
1秒前
夬鉲完成签到,获得积分10
2秒前
kb发布了新的文献求助10
2秒前
sagitar应助奔跑的考拉采纳,获得50
3秒前
5秒前
louyu完成签到 ,获得积分0
5秒前
大泓淇完成签到,获得积分10
8秒前
8秒前
9秒前
李健应助笑傲江湖采纳,获得10
9秒前
fred完成签到,获得积分10
9秒前
科研通AI6.1应助zhanghe采纳,获得10
9秒前
10秒前
nini完成签到,获得积分10
10秒前
AllRightReserved应助th采纳,获得10
11秒前
11秒前
12秒前
安利发布了新的文献求助10
12秒前
kk完成签到,获得积分10
13秒前
cdercder应助两棵豆芽菜采纳,获得10
14秒前
14秒前
3152发布了新的文献求助10
14秒前
Monster发布了新的文献求助10
14秒前
上官若男应助Js采纳,获得10
15秒前
Robert发布了新的文献求助10
15秒前
优美水彤发布了新的文献求助10
15秒前
summerer完成签到,获得积分10
15秒前
16秒前
浮游应助DiJia采纳,获得10
16秒前
Mitochondrion完成签到,获得积分10
16秒前
早点下班完成签到,获得积分10
18秒前
畅快安梦完成签到,获得积分20
18秒前
19秒前
眉间雪完成签到 ,获得积分10
19秒前
19秒前
小二郎应助scccy采纳,获得10
19秒前
20秒前
大刘大刘泊完成签到 ,获得积分10
20秒前
小小平完成签到,获得积分10
20秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6719084
求助须知:如何正确求助?哪些是违规求助? 8456161
关于积分的说明 18053295
捐赠科研通 5969955
什么是DOI,文献DOI怎么找? 2995523
邀请新用户注册赠送积分活动 1971625
关于科研通互助平台的介绍 1924569