ArticleApplied and environmental microbiology2014
Temporal variability of the bioaerosol background at a subway station: concentration level, size distribution, and diversity of airborne bacteria.
Article in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Spatial and temporal patterns of public transit aerobiomes.Microbiome · 2026Article
- Molecular identification, antibiotic susceptibility, and biofilm formation of airborne bacteria.AMB Express · 2025Article
- Seasonal levels and size fractions of indoor air bioaerosols as predictors of respiratory morbidities among school pupils in Ibadan, Nigeria.Frontiers in public health · 2025Article
- The Natural Products Discovery Center: Release of the First 8490 Sequenced Strains for Exploring Actinobacteria Biosynthetic Diversity.bioRxiv : the preprint server for biology · 2024Article
- The composition of the bacterial communities collected from the PMScientific reports · 2024Article
- Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area.Heliyon · 2023Article
- Characterization of the public transit air microbiome and resistome reveals geographical specificity.Microbiome · 2021Article
- Performance evaluation of high-volume electret filter air samplers in aerosol microbiome research.Environmental microbiome · 2020Article
- Ambient bioaerosol distribution and associated health risks at a high traffic density junction at Dehradun city, India.Environmental monitoring and assessment · 2020Article
- Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review.International journal of environmental research and public health · 2020Review
- Distribution characteristics and noncarcinogenic risk assessment of culturable airborne bacteria and fungi during winter in Xinxiang, China.Environmental science and pollution research international · 2019Article
- Bioaerosol biomonitoring: Sampling optimization for molecular microbial ecology.Molecular ecology resources · 2019Article
- Biological Composition of Respirable Particulate Matter in an Industrial Vicinity in South Africa.International journal of environmental research and public health · 2019Article
- Article
- Geospatial Resolution of Human and Bacterial Diversity with City-Scale Metagenomics.Cell systems · 2015Article
- Non-culturable bioaerosols in indoor settings: Impact on health and molecular approaches for detection.Atmospheric environment (Oxford, England : 1994) · 2015Article
- Protocol Improvements for Low Concentration DNA-Based Bioaerosol Sampling and Analysis.PloS one · 2015Article
- Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system.Aerobiologia · 2015Article
- Microbial sequencing analyses suggest the presence of a fecal veneer on indoor climbing wall holds.Current microbiology · 2014Article
- Indoor-air microbiome in an urban subway network: diversity and dynamics.Applied and environmental microbiology · 2014Article
Corrections and comments
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Naturally occurring bioaerosol environments may present a challenge to biological detection-identification-monitoring (BIODIM) systems aiming at rapid and reliable warning of bioterrorism incidents. One way to improve the operational performance of BIODIM systems is to increase our understanding of relevant bioaerosol backgrounds. Subway stations are enclosed public environments which may be regarded as potential bioterrorism targets. This study provides novel information concerning the temporal variability of the concentration level, size distribution, and diversity of airborne bacteria in a Norwegian subway station. Three different air samplers were used during a 72-h sampling campaign in February 2011. The results suggested that the airborne bacterial environment was stable between days and seasons, while the intraday variability was found to be substantial, although often following a consistent diurnal pattern. The bacterial levels ranged from not detected to 10(3) CFU m(-3) and generally showed increased levels during the daytime compared to the nighttime levels, as well as during rush hours compared to non-rush hours. The airborne bacterial levels showed rapid temporal variation (up to 270-fold) on some occasions, both consistent and inconsistent with the diurnal profile. Airborne bacterium-containing particles were distributed between different sizes for particles of >1.1 μm, although ∼50% were between 1.1 and 3.3 μm. Anthropogenic activities (mainly passengers) were demonstrated as major sources of airborne bacteria and predominantly contributed 1.1- to 3.3-μm bacterium-containing particles. Our findings contribute to the development of realistic testing and evaluation schemes for BIODIM equipment by providing information that may be used to simulate operational bioaerosol backgrounds during controlled aerosol chamber-based challenge tests with biological threat agents.
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