Literature DB >> 18512445

Seasonal and diurnal variability in airborne mold from an indoor residential environment in northern New York.

Ryan LeBouf1, Liesel Yesse, Alan Rossner.   

Abstract

It is well known that characterization of airborne bioaerosols in indoor environments is a challenge because of inherent irregularity in concentrations, which are influenced by many environmental factors. The primary aim of this study was to quantify the day-to-day variability of airborne fungal levels in a single residential environment over multiple seasons. Indoor air quality practitioners must recognize the inherent variability in airborne bio-aerosol measurements during data analysis of mold investigations. Changes in airborne fungi due to varying season and day is important to recognize when considering health impacts of these contaminants and when establishing effective controls. Using an Andersen N6 impactor, indoor and outdoor bioaerosol samples were collected on malt extract agar plates for 18 weekdays and 19 weekdays in winter and summer, respectively. Interday and intraday variability for the bioaerosols were determined for each sampler. Average fungal concentrations were 26 times higher during the summer months. Day-to-day fungal samples showed a relatively high inconsistency suggesting airborne fungal levels are very episodic and are influenced by several environmental factors. Summer bio-aerosol variability ranged from 7 to 36% and winter variability from 24 to 212%; these should be incorporated into results of indoor mold investigations. The second objective was to observe the relationship between biological and nonbiological particulate matter (PM). No correlation was observed between biological and nonbiological PM. Six side-by-side particulate samplers collected coarse PM (PM10) and fine PM (PM2.5) levels in both seasons. PM2.5 particulate concentrations were found to be statistically higher during summer months. Interday variability observed during this study suggests that indoor air quality practitioners must adjust their exposure assessment strategies to reflect the temporal variability in bioaerosol concentrations.

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Year:  2008        PMID: 18512445     DOI: 10.3155/1047-3289.58.5.684

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  6 in total

1.  Particulate matter concentrations in residences: an intervention study evaluating stand-alone filters and air conditioners.

Authors:  S Batterman; L Du; G Mentz; B Mukherjee; E Parker; C Godwin; J-Y Chin; A O'Toole; T Robins; Z Rowe; T Lewis
Journal:  Indoor Air       Date:  2012-02-04       Impact factor: 5.770

2.  Use of a robotic sampling platform to assess young children's exposure to indoor bioaerosols.

Authors:  Z Wang; S L Shalat; K Black; P J Lioy; A A Stambler; O H Emoekpere; M Hernandez; T Han; M Ramagopal; G Mainelis
Journal:  Indoor Air       Date:  2011-10-24       Impact factor: 5.770

3.  Evaluation of microbiological air quality and of microclimate in university classrooms.

Authors:  Pietro Grisoli; Marinella Rodolfi; Tiziana Chiara; Laura Attinia Zonta; Cesare Dacarro
Journal:  Environ Monit Assess       Date:  2011-07-28       Impact factor: 2.513

4.  Field sampling of indoor bioaerosols.

Authors:  Jennie Cox; Hamza Mbareche; William G Lindsley; Caroline Duchaine
Journal:  Aerosol Sci Technol       Date:  2019-11-21       Impact factor: 2.908

Review 5.  Mold and Human Health: a Reality Check.

Authors:  Andrea T Borchers; Christopher Chang; M Eric Gershwin
Journal:  Clin Rev Allergy Immunol       Date:  2017-06       Impact factor: 8.667

Review 6.  Review of bioaerosols in indoor environment with special reference to sampling, analysis and control mechanisms.

Authors:  Bipasha Ghosh; Himanshu Lal; Arun Srivastava
Journal:  Environ Int       Date:  2015-10-03       Impact factor: 9.621

  6 in total

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