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« Previous AbstractInfluencing factors of carbonyl compounds and other VOCs in commercial airliner cabins: On-board investigation of 56 flights    Next AbstractIn vivo monitoring of volatile metabolic trajectories enables rapid diagnosis of influenza A infection »

Environ Int


Title:Identification of key volatile organic compounds in aircraft cabins and associated inhalation health risks
Author(s):Yin Y; He J; Zhao L; Pei J; Yang X; Sun Y; Cui X; Lin CH; Wei D; Chen Q;
Address:"Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China. Department of Building Science, Tsinghua University, Beijing 100084, China. Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China. Electronic address: jpei@tju.edu.cn. COMAC Beijing Aircraft Technology Research Institute, Beijing 102211, China. Environmental Control Systems, Boeing Commercial Airplanes, Everett, WA 98203, USA. Boeing Research & Technology - China, Beijing 100027, China. School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA"
Journal Title:Environ Int
Year:2022
Volume:20211208
Issue:
Page Number:106999 -
DOI: 10.1016/j.envint.2021.106999
ISSN/ISBN:1873-6750 (Electronic) 0160-4120 (Linking)
Abstract:"The identification of key VOCs during flights is important in creating a satisfactory aircraft cabin environment. Two VOC databases for the building indoor environment (from 251 occupied residences) and the aircraft cabin environment (from 56 commercial flights) were compared, to determine the common compounds (detection rate (DR) > 70%) in the two environments and the characteristic VOCs (only those with high DR during flights) in aircraft cabins. Possible VOC emission sources in flights were also discussed. As TVOC is usually viewed as a general indicator of air quality, the prediction of TVOC concentration was carried out using BP neural network algorithm, and the average error between the predicted and measured values was 55.35 mug/m(3) (R(2) = 0.80). Meanwhile, the VOCs' inhalation cancer/non-cancer risks to crew members and passengers were calculated on the basis of detection rates, exposure concentrations, and health risk assessments. Six compounds (i.e., formaldehyde, benzene, tetrachloroethylene, trichloromethane, 1,2-dichloroethane, and naphthalene) were proposed as the key VOCs in the existing aircraft cabin environment, presenting a risk to crew members that is higher than the US EPA proposed acceptable level (evaluated mean value > 1E-06). The estimated lifetime excess cancer/non-cancer risks for passengers were all below the assessment criteria. Based on a summary of various VOC limits in five built environments, hierarchical design of VOC concentration limits is recommended for the aircraft environment"
Keywords:"*Air Pollutants/analysis *Air Pollution *Air Pollution, Indoor/analysis Aircraft Formaldehyde/analysis *Volatile Organic Compounds/analysis Cabin air quality Flight Formaldehyde Health risk assessment Neural network prediction Target pollutant;"
Notes:"MedlineYin, Yihui He, Junzhou Zhao, Lei Pei, Jingjing Yang, Xudong Sun, Yuexia Cui, Xikang Lin, Chao-Hsin Wei, Daniel Chen, Qingyan eng Research Support, Non-U.S. Gov't Netherlands 2022/01/08 Environ Int. 2022 Jan; 158:106999. doi: 10.1016/j.envint.2021.106999. Epub 2021 Dec 8"

 
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