Literature DB >> 15660566

Changing microbial concentrations are associated with ventilation performance in Taiwan's air-conditioned office buildings.

P-C Wu1, Y-Y Li, C-M Chiang, C-Y Huang, C-C Lee, F-C Li, H-J Su.   

Abstract

UNLABELLED: Our study conducted serial environmental measurements in 12 large office buildings with two different ventilation designs to obtain airborne microbial concentrations in typical office buildings, and to examine the effects of occupant density, ventilation type and air exchange efficiency on indoor microbial concentrations. Duplicate samples of airborne fungi and bacteria, a total of 2477 measurements, were collected based on a scheme of conducting sampling three times a day for at least seven consecutive days at every study building. Air change rates (ACHs) were also estimated by tracer gas concentration decay method, and measured by continuous Multi-Gas monitor for each building. Most sampling sites were with total fungal and bacteria concentrations higher than 1000 CFU/m(3), an often-quoted guideline in earlier research. Significantly higher concentrations of fungi and bacteria, as well as higher indoor/outdoor (I/O) ratios across most groups of airborne microbes, were identified in buildings with fan coil unit (FCU) system than those with air-handling unit (AHU) system (Student's t test, P < 0.0001). Older buildings and higher air exchange rates were statistically associated with greater indoor bacteria levels in FCU ventilated buildings (R(2) = 0.452); a pattern not found in AHU buildings. Increasing ACH seemed to be the determinant factor for rising indoor fungal and Cladosporium concentrations in those FCU buildings (R(2) = 0.346; 0.518). Our data indicated that FCU ventilated buildings might have provided more outdoor matters into indoor environments through direct penetration of outdoor air. Results also demonstrated a quantitative association between rising numbers of occupants and increasing indoor levels of yeast in both FCU and AHU ventilated buildings. The regression model identified in this study may be considered a reference value for proposing an optimal ACH, while with adequate filtration of fresh air, as an effective strategy in lowering indoor microbial concentrations in air-conditioned buildings. PRACTICAL IMPLICATIONS: As control of indoor microbial contamination has become an increasing concern around the world, feasibility and effectiveness of adopting ventilation approach has attracted a significant interest. This field investigation demonstrated, quantitatively, critical variables to be taken into consideration while applying such a measure, including the kinds of microbes to be removed and the types of ventilation system already in place.

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Year:  2005        PMID: 15660566     DOI: 10.1111/j.1600-0668.2004.00313.x

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  6 in total

1.  Assessment of microbiological indoor air quality in an Italian office building equipped with an HVAC system.

Authors:  Sa Bonetta; Si Bonetta; S Mosso; S Sampò; E Carraro
Journal:  Environ Monit Assess       Date:  2009-02-18       Impact factor: 2.513

Review 2.  The effect of environmental parameters on the survival of airborne infectious agents.

Authors:  Julian W Tang
Journal:  J R Soc Interface       Date:  2009-09-22       Impact factor: 4.118

3.  Indoor air quality in university environments.

Authors:  Mara Di Giulio; Rossella Grande; Emanuela Di Campli; Soraya Di Bartolomeo; Luigina Cellini
Journal:  Environ Monit Assess       Date:  2009-11-26       Impact factor: 2.513

4.  Seasonal variations of indoor microbial exposures and their relation to temperature, relative humidity, and air exchange rate.

Authors:  Mika Frankel; Gabriel Bekö; Michael Timm; Sine Gustavsen; Erik Wind Hansen; Anne Mette Madsen
Journal:  Appl Environ Microbiol       Date:  2012-09-21       Impact factor: 4.792

5.  Detection of viruses in used ventilation filters from two large public buildings.

Authors:  Sagar M Goyal; Senthilvelan Anantharaman; M A Ramakrishnan; Suchitra Sajja; Seung Won Kim; Nicholas J Stanley; James E Farnsworth; Thomas H Kuehn; Peter C Raynor
Journal:  Am J Infect Control       Date:  2011-05-06       Impact factor: 2.918

6.  The airborne metagenome in an indoor urban environment.

Authors:  Susannah G Tringe; Tao Zhang; Xuguo Liu; Yiting Yu; Wah Heng Lee; Jennifer Yap; Fei Yao; Sim Tiow Suan; Seah Keng Ing; Matthew Haynes; Forest Rohwer; Chia Lin Wei; Patrick Tan; James Bristow; Edward M Rubin; Yijun Ruan
Journal:  PLoS One       Date:  2008-04-02       Impact factor: 3.240

  6 in total

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