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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39703

Title: Lung cancer risk in relation to traffic-related nano/ultrafine particle-bound polycyclic aromatic hydrocarbons exposure: A probabilistic assessment
Authors: Min-Pei Ling
Chia-Pin Chio
Chung-Min Liao
Wei-Yu Chen
Yun-Ru Ju
Wen-Hsuan Li
Yi-Hsien Cheng
Vivian Hsiu-Chuan Liao
Szu-Chieh Chen
Contributors: 國立臺灣海洋大學:食品科學系
Keywords: Risk assessment
Polycyclic aromatic hydrocarbons
Nanoparticles
Particulate matter
Lung cancer
Population attributable fraction
Date: 2011-03
Issue Date: 2016-12-28T07:38:40Z
Publisher:  Journal of hazardous materials
Abstract: Abstract: Exposures to carcinogenic polycyclic aromatic hydrocarbons (PAHs) have been linked to human lung cancer. The purpose of this study was to assess lung cancer risk caused by inhalation exposure to nano/ultrafine particle-bound PAHs at the population level in Taiwan appraised with recent published data. A human respiratory tract model was linked with a physiologically based pharmacokinetic model to estimate deposition fraction and internal organic-specific PAHs doses. A probabilistic risk assessment framework was developed to estimate potential lung cancer risk. We reanalyzed particle size distribution, total-PAHs, particle-bound benzo(a)pyrene (B[a]P) and PM concentrations. A dose-response profile describing the relationships between external B[a]P concentration and lung cancer risk response was constructed based on population attributable fraction (PAF). We found that 90% probability lung cancer risks ranged from 10(-5) to 10(-4) for traffic-related nano and ultrafine particle-bound PAHs, indicating a potential lung cancer risk. The particle size-specific PAF-based excess annual lung cancer incidence rate due to PAHs exposure was estimated to be less than 1 per 100,000 population, indicating a mild risk factor for lung cancer. We concluded that probabilistic risk assessment linked PAF for limiting cumulative PAHs emissions to reduce lung cancer risk plays a prominent role in future government risk assessment program.
Relation: 190(1-3)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39703
Appears in Collections:[食品科學系] 期刊論文

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