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DNA 기반 곰팡이 평가기법을 활용한 주택의 실내 곰팡이 노출수준 평가

Evaluation of Indoor Mold Exposure Level in dwelling Using DNA-Based Mold Assessment Method

  • 황은설 (국립환경과학원 생활환경연구과) ;
  • 서성철 (을지대학교 보건환경안전학과) ;
  • 이주영 (국립환경과학원 생활환경연구과) ;
  • 류정민 (국립환경과학원 생활환경연구과) ;
  • 권명희 (국립환경과학원 생활환경연구과) ;
  • 정현미 (국립환경과학원 생활환경연구과) ;
  • 조용민 ((주)스마티브 생명환경연구소) ;
  • 이정섭 (국립환경과학원 생활환경연구과)
  • Hwang, Eun-Seol (Indoor Environment and Noise Research Division, National Institute of Environmental Research) ;
  • Seo, Sung Chul (Department of Environmental Health and Safety, College of Health Industry, Eulji University) ;
  • Lee, Ju-Yeong (Indoor Environment and Noise Research Division, National Institute of Environmental Research) ;
  • Ryu, Jung-min (Indoor Environment and Noise Research Division, National Institute of Environmental Research) ;
  • Kwon, Myung-Hee (Indoor Environment and Noise Research Division, National Institute of Environmental Research) ;
  • Chung, Hyen-Mi (Indoor Environment and Noise Research Division, National Institute of Environmental Research) ;
  • Cho, Yong-Min (Institute for Life and Environment Technology, Smartive Corporation) ;
  • Lee, Jung-Sub (Indoor Environment and Noise Research Division, National Institute of Environmental Research)
  • 투고 : 2018.10.25
  • 심사 : 2018.12.07
  • 발행 : 2018.12.31

초록

Objective: Allergic diseases such as asthma due to fungal exposure in houses have increased, and proper management is urgent. Mold can grow in the air, floor, walls, and other areas according to environmental conditions, and there are many limitations to the conventional methodology for examining fungal exposure. For this reason, the degree of fungal contamination is being evaluated by ERMI (Environmental Relative Moldiness Index), a quantitative analysis method proposed by the EPA. In this study, we compared ERMI values between water-damaged dwellings and non-damaged ones to evaluate the effectiveness of Korean ERMI values. We also explored the association of ERMI values with the level of airborne mold and characteristics of dwellings. Methods: Floor dust was collected after installing a Dustream collector on the suction port of a vacuum cleaner. The collected samples were filtered to remove only 5 mg of dust, and DNA was extracted using the FastDNA SPIN KIT protocol. Results: The ERMI values were found to be 19.6 (-6.9-58.8) for flooded houses, 7.5 (-29.2-48.3) for leaks/condensation, and 0.8 (-29.2-37.9) for non-damaged dwellings. The airborne concentration of mold for flooded, leakage or condensed, and non-damaged houses were $684CFU/m^3$, $566CFU/m^3$, and $378CFU/m^3$, respectively. The correlation between ERMI values and the levels of airborne mold was low (R = 0.038), but a weakly significant association of the ERMI values with the concentration of particulate matter ($PM_{10}$) was observed as well(R=0.231,P<0.05). Conclusions: Our findings show that the reference value using ERMI can be used to distinguish water-damaged and non-damaged dwellings. It is believed that ERMI values could be a promising tool for assessing long-term fungal exposure in dwellings.

키워드

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Figure 1. EPA ERMI graph and evaluation standard

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Figure 2. The levels of ERMI by each dwelling type: (a) Flooded, leaked, and non-damaged dwellings, respectively (b) Water-damaged and non-damaged dwellings, respectively

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Figure 3. The levels of airborne mold by each dwelling type: (a) Flooded, leaked, and non-damaged dwellings, respectively (b) Water-damaged and non-damaged dwellings, respectively

Table 1. Mold cell amount of ERMI species by dwelling type

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Table 2. Correlation between environmental factors

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참고문헌

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