Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/82962
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Type: Journal article
Title: Airborne fungal profiles in office buildings in metropolitan Adelaide, South Australia: background levels, diversity and seasonal variation
Author: Taylor, M.
Gaskin, S.
Bentham, R.
Pisaniello, D.
Citation: Indoor and Built Environment, 2014; 23(7):1002-1011
Publisher: Sage Publications Ltd
Issue Date: 2014
ISSN: 1423-0070
1423-0070
Statement of
Responsibility: 
Michael Taylor, Sharyn Gaskin, Richard Bentham and Dino Pisaniello
Abstract: The presence of bioaerosols in indoor non-industrial workplace environments has become an increasing concern to indoor air quality assessors and Occupational Health and Safety professionals. The paucity of workplace survey information and national standards limits the comparisons that can be made when investigating suspected indoor fungal contamination. Data are needed on typical non-problem conditions, thereby providing background survey information. This study examined viable fungi in 128 air samples (89 indoor: 39 outdoor) from office buildings in Adelaide, South Australia, which has an arid Mediterranean climate. Results across four consecutive seasons show that the viable airborne fungal concentrations in indoor air were on average 75% lower than those in outdoor air. A seasonal influence was noted with higher fungal levels in autumn and summer compared with winter and spring. The most common culturable airborne fungi, across all seasons and conditions, were Penicillium, Aspergillus, Cladosporium and Alternaria. A weak correlation between fungal spore concentration in indoor air and carbon dioxide was observed (r = 0.26). No other correlations with indoor air quality parameters were noted. This study provides a profile of airborne fungal diversity and abundance in non-problem indoor environments and practical guidance to indoor air quality assessors on the interpretation of indoor fungal monitoring data.
Keywords: airborne fungai
indoor air quality (IAQ)
non-problem buildings
seasonal variation
Rights: © The Author(s) 2013.
DOI: 10.1177/1420326X13499172
Published version: http://dx.doi.org/10.1177/1420326x13499172
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