Literature DB >> 22955887

Monitoring of bioaerosol inhalation risks in different environments using a six-stage Andersen sampler and the PCR-DGGE method.

Zhenqiang Xu1, Maosheng Yao.   

Abstract

Increasing evidences show that inhalation of indoor bioaerosols has caused numerous adverse health effects and diseases. However, the bioaerosol size distribution, composition, and concentration level, representing different inhalation risks, could vary with different living environments. The six-stage Andersen sampler is designed to simulate the sampling of different human lung regions. Here, the sampler was used in investigating the bioaerosol exposure in six different environments (student dorm, hospital, laboratory, hotel room, dining hall, and outdoor environment) in Beijing. During the sampling, the Andersen sampler was operated for 30 min for each sample, and three independent experiments were performed for each of the environments. The air samples collected onto each of the six stages of the sampler were incubated on agar plates directly at 26 °C, and the colony forming units (CFU) were manually counted and statistically corrected. In addition, the developed CFUs were washed off the agar plates and subjected to polymerase chain reaction (PCR)-denaturing gradient gel electrophoresis (DGGE) for diversity analysis. Results revealed that for most environments investigated, the culturable bacterial aerosol concentrations were higher than those of culturable fungal aerosols. The culturable bacterial and fungal aerosol fractions, concentration, size distribution, and diversity were shown to vary significantly with the sampling environments. PCR-DGGE analysis indicated that different environments had different culturable bacterial aerosol compositions as revealed by distinct gel band patterns. For most environments tested, larger (>3 μm) culturable bacterial aerosols with a skewed size distribution were shown to prevail, accounting for more than 60 %, while for culturable fungal aerosols with a normal size distribution, those 2.1-4.7 μm dominated, accounting for 20-40 %. Alternaria, Cladosporium, Chaetomium, and Aspergillus were found abundant in most environments studied here. Viable microbial load per unit of particulate matter was also shown to vary significantly with the sampling environments. The results from this study suggested that different environments even with similar levels of total microbial culturable aerosol concentrations could present different inhalation risks due to different bioaerosol particle size distribution and composition. This work fills literature gaps regarding bioaerosol size and composition-based exposure risks in different human dwellings in contrast to a vast body of total bioaerosol levels.

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Year:  2012        PMID: 22955887     DOI: 10.1007/s10661-012-2844-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  14 in total

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2.  Profiles of airborne fungi in buildings and outdoor environments in the United States.

Authors:  Brian G Shelton; Kimberly H Kirkland; W Dana Flanders; George K Morris
Journal:  Appl Environ Microbiol       Date:  2002-04       Impact factor: 4.792

Review 3.  Bioaerosol health effects and exposure assessment: progress and prospects.

Authors:  J Douwes; P Thorne; N Pearce; D Heederik
Journal:  Ann Occup Hyg       Date:  2003-04

4.  Characterization of microbial community during Asian dust events in Korea.

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Journal:  Sci Total Environ       Date:  2009-07-24       Impact factor: 7.963

5.  Bacterial diversity characterization of bioaerosols from cage-housed and floor-housed poultry operations.

Authors:  Natasha Just; Shelley Kirychuk; Yan Gilbert; Valérie Létourneau; Marc Veillette; Baljit Singh; Caroline Duchaine
Journal:  Environ Res       Date:  2011-02-01       Impact factor: 6.498

6.  Bioaerosol characteristics in hospital clean rooms.

Authors:  Chih-Shan Li; Po-An Hou
Journal:  Sci Total Environ       Date:  2003-04-15       Impact factor: 7.963

7.  Exposure of workers to airborne microorganisms in open-air swine houses.

Authors:  C W Chang; H Chung; C F Huang; H J Su
Journal:  Appl Environ Microbiol       Date:  2001-01       Impact factor: 4.792

8.  Size distribution of bacterial and fungal bioaerosols in indoor air.

Authors:  Rafał Górny; Jacek Dutkiewicz; Ewa Krysińska-Traczyk
Journal:  Ann Agric Environ Med       Date:  1999       Impact factor: 1.447

9.  Culture-independent approach of the bacterial bioaerosol diversity in the standard swine confinement buildings, and assessment of the seasonal effect.

Authors:  Benjamin Nehme; Valérie Létourneau; Robert J Forster; Marc Veillette; Caroline Duchaine
Journal:  Environ Microbiol       Date:  2008-03       Impact factor: 5.491

10.  Effect of impact stress on microbial recovery on an agar surface.

Authors:  S L Stewart; S A Grinshpun; K Willeke; S Terzieva; V Ulevicius; J Donnelly
Journal:  Appl Environ Microbiol       Date:  1995-04       Impact factor: 4.792

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  8 in total

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2.  Diurnal Variations of Size-Resolved Bioaerosols During Autumn and Winter Over a Semi-Arid Megacity in Northwest China.

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Journal:  Environ Int       Date:  2015-10-03       Impact factor: 9.621

Review 4.  Collection, particle sizing and detection of airborne viruses.

Authors:  M Pan; J A Lednicky; C-Y Wu
Journal:  J Appl Microbiol       Date:  2019-06-26       Impact factor: 3.772

5.  Size resolved characteristics of urban and suburban bacterial bioaerosols in Japan as assessed by 16S rRNA amplicon sequencing.

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Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

6.  Human Inhalation Exposure to Aerosol and Health Effect: Aerosol Monitoring and Modelling Regional Deposited Doses.

Authors:  Hyeon-Ju Oh; Yoohan Ma; Jongbok Kim
Journal:  Int J Environ Res Public Health       Date:  2020-03-16       Impact factor: 3.390

7.  Ambient bioaerosol distribution and associated health risks at a high traffic density junction at Dehradun city, India.

Authors:  Sandeep Madhwal; Vignesh Prabhu; Sangeeta Sundriyal; Vijay Shridhar
Journal:  Environ Monit Assess       Date:  2020-02-22       Impact factor: 2.513

8.  Ability of Essential Oil Vapours to Reduce Numbers of Culturable Aerosolised Coronavirus, Bacteria and Fungi.

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Journal:  Antibiotics (Basel)       Date:  2022-03-15
  8 in total

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