Applications of an Exhaled Breath Aerosol Monitoring System
碩士 === 國立臺灣大學 === 環境衛生研究所 === 99 === Coughing and sneezing are known to spread respiratory diseases. The aerosol outputs by coughing and sneezing are visible because of the high number concentration and large micro-metered size. Coughing and sneezing can be loud and irritating to people around, whic...
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ndltd-TW-099NTU055190142015-10-16T04:03:09Z http://ndltd.ncl.edu.tw/handle/91648268054582068308 Applications of an Exhaled Breath Aerosol Monitoring System 人體呼出微粒監測系統之應用 Wan-Ting Lin 林婉婷 碩士 國立臺灣大學 環境衛生研究所 99 Coughing and sneezing are known to spread respiratory diseases. The aerosol outputs by coughing and sneezing are visible because of the high number concentration and large micro-metered size. Coughing and sneezing can be loud and irritating to people around, which is good because it alerts people to stay away. In contrast to these audible and visible aerosol generation mechanisms, several recent studies reported that “silent” tidal breathing can also generate aerosols. This might play a more important role in disease transmission, especially in intensive care and emergency care units. Two aerosol generation mechanisms were proposed in previous studies: the turbulence induced aerosolization and the Bronchiole Fluid Film Burst (BFFB). The main objectives of the present study were (1) to verify the proposed lung aerosol generation mechanisms, (2) to study the dependency of exhaled breath aerosol on breathing pattern and other lung function variables, and (3) to characterize the differences in exhaled breath aerosols between healthy and sick conditions of the same subjects. The results supported the hypothesis of BFFB through a breath-holding technique. The EBA (Exhaled Breath Aerosol) count per breath increased with increasing tidal volume. However, breathing frequency did not affect EBA generation. We speculated that this is due the number of closing-up and re-opening terminal bronchioles increased with increasing tidal volume. This number apparently is independent of breathing frequency. The between-subject variation is much higher than the within-subject variation, indicating that the mucus properties and the respiratory tract structure vary more significantly among subjects. The EBA of all tested subjects showed similar size distribution, with a count median diameter of 0.3 micrometer and GSD of 2.4. When subjects were sick, they tended to generate more exhaled breath aerosols, showing 20 to 50% increase in count per breath, a bad news to health-care workers. Chih-Chieh Chen 陳志傑 2011 學位論文 ; thesis 55 zh-TW |
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碩士 === 國立臺灣大學 === 環境衛生研究所 === 99 === Coughing and sneezing are known to spread respiratory diseases. The aerosol outputs by coughing and sneezing are visible because of the high number concentration and large micro-metered size. Coughing and sneezing can be loud and irritating to people around, which is good because it alerts people to stay away. In contrast to these audible and visible aerosol generation mechanisms, several recent studies reported that “silent” tidal breathing can also generate aerosols. This might play a more important role in disease transmission, especially in intensive care and emergency care units. Two aerosol generation mechanisms were proposed in previous studies: the turbulence induced aerosolization and the Bronchiole Fluid Film Burst (BFFB). The main objectives of the present study were (1) to verify the proposed lung aerosol generation mechanisms, (2) to study the dependency of exhaled breath aerosol on breathing pattern and other lung function variables, and (3) to characterize the differences in exhaled breath aerosols between healthy and sick conditions of the same subjects.
The results supported the hypothesis of BFFB through a breath-holding technique. The EBA (Exhaled Breath Aerosol) count per breath increased with increasing tidal volume. However, breathing frequency did not affect EBA generation. We speculated that this is due the number of closing-up and re-opening terminal bronchioles increased with increasing tidal volume. This number apparently is independent of breathing frequency. The between-subject variation is much higher than the within-subject variation, indicating that the mucus properties and the respiratory tract structure vary more significantly among subjects. The EBA of all tested subjects showed similar size distribution, with a count median diameter of 0.3 micrometer and GSD of 2.4. When subjects were sick, they tended to generate more exhaled breath aerosols, showing 20 to 50% increase in count per breath, a bad news to health-care workers.
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author2 |
Chih-Chieh Chen |
author_facet |
Chih-Chieh Chen Wan-Ting Lin 林婉婷 |
author |
Wan-Ting Lin 林婉婷 |
spellingShingle |
Wan-Ting Lin 林婉婷 Applications of an Exhaled Breath Aerosol Monitoring System |
author_sort |
Wan-Ting Lin |
title |
Applications of an Exhaled Breath Aerosol Monitoring System |
title_short |
Applications of an Exhaled Breath Aerosol Monitoring System |
title_full |
Applications of an Exhaled Breath Aerosol Monitoring System |
title_fullStr |
Applications of an Exhaled Breath Aerosol Monitoring System |
title_full_unstemmed |
Applications of an Exhaled Breath Aerosol Monitoring System |
title_sort |
applications of an exhaled breath aerosol monitoring system |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/91648268054582068308 |
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