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KMID : 1039220160260030324
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Journal of Korean Society of Occupational and Environmental Hygiene
2016 Volume.26 No. 3 p.324 ~ p.333
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A Suggested Air Sampling Strategy for Bioaerosols in Daycare Center Settings
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Jo Jung-Heum
Park Jun-Sik
Kim Sung-Yeon
Kwon Myung-Hee
Kim Ki-Youn
Choi Jeong-Hak
Seo Sung-Chul
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Abstract
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Objectives: We aimed to compare the sampling performance of different flow-based impactor samplers for collecting fungal spores and bacteria and to explore the association of the level of bioaerosols with activity patterns of occupants in daycare center settings.
Methods: For comparison of sampling performance, two different flow-based samplers (greater than 100 L/min or not) were selected; a low flow-based sampler (one-stage Andersen sampler) and two high flow-based samplers (DUO SAS SUPER 360 sampler, BUCK bio-culture sampler). We collected airborne mold and bacteria in 30 daycare centers with various levels of contaminated air. Three repeat samplings per each sampler were performed. Mold and bacteria were grown for 96 hours at 25±1℃ and 48 hours at 35±1℃, respectively. The Andersen and SAS samplers were used for investigating the association between the level of bioaerosols and the activity patterns of occupants in daycares. Particular matters 10(PM10), temperature, and relative humidity were monitored as well. Samplings were carried out with one-hour interval from 9 to 5 O’clock. For statistical comparisons, Kruskal-Wallis test, Wilcoxon’s signed rank test, and multiple regression analysis were carried out.
Results: The airborne level of molds by the low flow-based sampler were significantly higher than that of high flow-based samplers (indoor, P=0.037; outdoor, P=0.041). However, no statistical difference was observed in the airborne level of bacteria by each sampler. Also the level of bioaerosols varied by the time, particularly with different activity patterns in daycare centers. The higher level of mold and bacteria were observed in play time in indoor. Similarly, the oncentrations of PM10 were significantly associated with the level of bioaerosols (P<0.05).
Conclusions: Our findings indicate that the flow rate of sampler, rather than total air volume, could be able to affect the results of sampling. Also, the level of airborne mold and bacteria vary behavior patterns of occupants in indoor of daycare settings. Therefore, different samplers with other flow rate may be selected for mold or bacteria sampling, and activity patterns should be considered for bioaerosol sampling as well.
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KEYWORD
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airborne, bacteria, bioaerosols, fungi, flow rate, Impactor, mold
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