Haoxiang Cheng1, Liping Wang2, Dongbin Wang3, Jushan Zhang2, Long Cheng4, Pengfei Yao4, Zhongyang Zhang1, Antonio Di Narzo1, Yuan Shen5, Jing Yu6, Changhui Wang7, Lihong Fan7, Jianwei Lu4, Jingkun Jiang3, Ke Hao8. 1. Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 2. Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China; College of Environmental Science and Engineering, Tongji University, Shanghai, China. 3. School of Environment, Tsinghua University, Beijing, China. 4. School of Software Engineering, Tongji University, Shanghai, China. 5. Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China. 6. Department of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China; Ninghai First Hospital, Ningbo, Zhejiang, China. 7. Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China. 8. Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China; College of Environmental Science and Engineering, Tongji University, Shanghai, China; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Ninghai First Hospital, Ningbo, Zhejiang, China. Electronic address: ke.hao@mssm.edu.
Abstract
BACKGROUND: Air pollution is a leading cause of global disease burden. Lack of suitable methods for long term measuring exposure level at individual level is crippling environmental epidemiology research of air pollution. METHODS: We report an integrative system, Bio3Air, for long term measurement of individual level air pollution exposure, currently focusing on ambient particulate matter (PM). The novel system in real-time quantifies individual's outdoor/indoor status, geological location, lung ventilation rate and PM concentration of individual's surrounding environment, and these metrics are subsequently incorporated in calculating PM exposure. RESULTS: The system is fully developed and tested in China, USA and Canada, and has been successfully applied in epidemiology study. Bio3Air offers high reliability, sensitivity, reproducibility (>99%) and accuracy. It has high time- and spatial- resolution (≤ 2 min and ≤ 20 m, respectively). Bio3Air achieved 91.89% consistency with "gold-standard" method (membrane collection and off-line analysis). CONCLUSIONS: Bio3Air represents a substantial methodological advance in environmental health research of air pollution. It captures information relevant in measuring individual's PM exposure (e.g. real-time outdoor/indoor status, location and lung ventilation rate). Such information is typically missed by conventional approaches. Additional features of Bio3Air include easy-to-use, cost-effectiveness and automated data collection, making it a powerful tool facilitating studies of air pollution exposure and health consequences.
BACKGROUND: Air pollution is a leading cause of global disease burden. Lack of suitable methods for long term measuring exposure level at individual level is crippling environmental epidemiology research of air pollution. METHODS: We report an integrative system, Bio3Air, for long term measurement of individual level air pollution exposure, currently focusing on ambient particulate matter (PM). The novel system in real-time quantifies individual's outdoor/indoor status, geological location, lung ventilation rate and PM concentration of individual's surrounding environment, and these metrics are subsequently incorporated in calculating PM exposure. RESULTS: The system is fully developed and tested in China, USA and Canada, and has been successfully applied in epidemiology study. Bio3Air offers high reliability, sensitivity, reproducibility (>99%) and accuracy. It has high time- and spatial- resolution (≤ 2 min and ≤ 20 m, respectively). Bio3Air achieved 91.89% consistency with "gold-standard" method (membrane collection and off-line analysis). CONCLUSIONS: Bio3Air represents a substantial methodological advance in environmental health research of air pollution. It captures information relevant in measuring individual's PM exposure (e.g. real-time outdoor/indoor status, location and lung ventilation rate). Such information is typically missed by conventional approaches. Additional features of Bio3Air include easy-to-use, cost-effectiveness and automated data collection, making it a powerful tool facilitating studies of air pollution exposure and health consequences.
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