Spatiotemporal distributions and land-use regression models of ambient bacteria and endotoxins in the greater Taipei area

Kraiwuth Kallawicha, Shih Chun Candice Lung, Ying Chih Chuang, Chih Da Wu, Tsun Hsuan Chen, Ying Jie Tsai, Hsing Jasmine Chao

研究成果: 雜誌貢獻文章

21 引文 (Scopus)

摘要

Ambient bacteria and endotoxins are components of bioaerosols, which are abundant in ambient air. Exposure to ambient bacteria and endotoxins has been associated with respiratory symptoms. We monitored the spatiotemporal distributions of ambient bioaerosols in the Greater Taipei area by using multisite sampling and developed regression models for ambient bacterial and endotoxin concentrations. Forty-four representative sampling sites were selected from the Greater Taipei area. Samples were collected in 4 seasons throughout a 1-y study period. Ambient bacteria were quantified using acridine orange staining, and endotoxins were analyzed using Limulus amebocyte lysate assays. Land-use types and major determinants of the bioaerosols were used to develop regression models. Ambient bacteria ranged from <limit of detection (LOD) to 1.68 × 105 cells/m3, whereas endotoxins ranged from <LOD to 20.62 EU/m3. Significant seasonal variations were observed for both bioaerosols, with the highest concentrations observed in spring. Regression analyses revealed temperature, relative humidity, and particulate matter as the major predictors of ambient bacteria and endotoxins. No land-use type was correlated with any of the bioaerosols. The number of schools and gas stations was positively associated with both bioaerosols. The leave-one-out cross-validation R2 of the final models for ambient bacteria and endotoxins were 0.11 and 0.31, respectively. The results of this study revealed high spatiotemporal variations in the distributions of ambient bacteria and endotoxins in the Greater Taipei area. Additional potential predictors should be included in future studies to develop better predictive models for ambient bacteria and endotoxins.
原文英語
頁(從 - 到)1448-1459
頁數12
期刊Aerosol and Air Quality Research
15
發行號4
DOIs
出版狀態已發佈 - 八月 3 2015

指紋

Land use
Endotoxins
Bacteria
land use
bacterium
Sampling
distribution
Acridine Orange
sampling
Particulate Matter
ambient air
particulate matter
relative humidity
Assays
Atmospheric humidity
seasonal variation
assay
Gases
Air
gas

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution

引用此文

Spatiotemporal distributions and land-use regression models of ambient bacteria and endotoxins in the greater Taipei area. / Kallawicha, Kraiwuth; Lung, Shih Chun Candice; Chuang, Ying Chih; Wu, Chih Da; Chen, Tsun Hsuan; Tsai, Ying Jie; Chao, Hsing Jasmine.

於: Aerosol and Air Quality Research, 卷 15, 編號 4, 03.08.2015, p. 1448-1459.

研究成果: 雜誌貢獻文章

Kallawicha, Kraiwuth ; Lung, Shih Chun Candice ; Chuang, Ying Chih ; Wu, Chih Da ; Chen, Tsun Hsuan ; Tsai, Ying Jie ; Chao, Hsing Jasmine. / Spatiotemporal distributions and land-use regression models of ambient bacteria and endotoxins in the greater Taipei area. 於: Aerosol and Air Quality Research. 2015 ; 卷 15, 編號 4. 頁 1448-1459.
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abstract = "Ambient bacteria and endotoxins are components of bioaerosols, which are abundant in ambient air. Exposure to ambient bacteria and endotoxins has been associated with respiratory symptoms. We monitored the spatiotemporal distributions of ambient bioaerosols in the Greater Taipei area by using multisite sampling and developed regression models for ambient bacterial and endotoxin concentrations. Forty-four representative sampling sites were selected from the Greater Taipei area. Samples were collected in 4 seasons throughout a 1-y study period. Ambient bacteria were quantified using acridine orange staining, and endotoxins were analyzed using Limulus amebocyte lysate assays. Land-use types and major determinants of the bioaerosols were used to develop regression models. Ambient bacteria ranged from 5 cells/m3, whereas endotoxins ranged from <LOD to 20.62 EU/m3. Significant seasonal variations were observed for both bioaerosols, with the highest concentrations observed in spring. Regression analyses revealed temperature, relative humidity, and particulate matter as the major predictors of ambient bacteria and endotoxins. No land-use type was correlated with any of the bioaerosols. The number of schools and gas stations was positively associated with both bioaerosols. The leave-one-out cross-validation R2 of the final models for ambient bacteria and endotoxins were 0.11 and 0.31, respectively. The results of this study revealed high spatiotemporal variations in the distributions of ambient bacteria and endotoxins in the Greater Taipei area. Additional potential predictors should be included in future studies to develop better predictive models for ambient bacteria and endotoxins.",
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AU - Lung, Shih Chun Candice

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AU - Wu, Chih Da

AU - Chen, Tsun Hsuan

AU - Tsai, Ying Jie

AU - Chao, Hsing Jasmine

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AB - Ambient bacteria and endotoxins are components of bioaerosols, which are abundant in ambient air. Exposure to ambient bacteria and endotoxins has been associated with respiratory symptoms. We monitored the spatiotemporal distributions of ambient bioaerosols in the Greater Taipei area by using multisite sampling and developed regression models for ambient bacterial and endotoxin concentrations. Forty-four representative sampling sites were selected from the Greater Taipei area. Samples were collected in 4 seasons throughout a 1-y study period. Ambient bacteria were quantified using acridine orange staining, and endotoxins were analyzed using Limulus amebocyte lysate assays. Land-use types and major determinants of the bioaerosols were used to develop regression models. Ambient bacteria ranged from 5 cells/m3, whereas endotoxins ranged from <LOD to 20.62 EU/m3. Significant seasonal variations were observed for both bioaerosols, with the highest concentrations observed in spring. Regression analyses revealed temperature, relative humidity, and particulate matter as the major predictors of ambient bacteria and endotoxins. No land-use type was correlated with any of the bioaerosols. The number of schools and gas stations was positively associated with both bioaerosols. The leave-one-out cross-validation R2 of the final models for ambient bacteria and endotoxins were 0.11 and 0.31, respectively. The results of this study revealed high spatiotemporal variations in the distributions of ambient bacteria and endotoxins in the Greater Taipei area. Additional potential predictors should be included in future studies to develop better predictive models for ambient bacteria and endotoxins.

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