Methodology for modeling the microbial contamination of air filters

Yun Haeng Joe, Ki Young Yoon, Jungho Hwang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, we propose a theoretical model to simulate microbial growth on contaminated air filters and entrainment of bioaerosols from the filters to an indoor environment. Air filter filtration and antimicrobial efficiencies, and effects of dust particles on these efficiencies, were evaluated. The number of bioaerosols downstream of the filter could be characterized according to three phases: initial, transitional, and stationary. In the initial phase, the number was determined by filtration efficiency, the concentration of dust particles entering the filter, and the flow rate. During the transitional phase, the number of bioaerosols gradually increased up to the stationary phase, at which point no further increase was observed. The antimicrobial efficiency and flow rate were the dominant parameters affecting the number of bioaerosols downstream of the filter in the transitional and stationary phase, respectively. It was found that the nutrient fraction of dust particles entering the filter caused a significant change in the number of bioaerosols in both the transitional and stationary phases. The proposed model would be a solution for predicting the air filter life cycle in terms of microbiological activity by simulating the microbial contamination of the filter.

Original languageEnglish
Article numbere88514
JournalPloS one
Volume9
Issue number2
DOIs
Publication statusPublished - 2014 Feb 11

Fingerprint

air filters
Air Filters
Air filters
filters
bioaerosols
microbial contamination
Dust
Contamination
Particles (particulate matter)
dust
Flow rate
Filters (for fluids)
Life Cycle Stages
Air entrainment
Theoretical Models
anti-infective agents
methodology
Nutrients
Life cycle
Food

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Cite this

Joe, Yun Haeng ; Yoon, Ki Young ; Hwang, Jungho. / Methodology for modeling the microbial contamination of air filters. In: PloS one. 2014 ; Vol. 9, No. 2.
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Methodology for modeling the microbial contamination of air filters. / Joe, Yun Haeng; Yoon, Ki Young; Hwang, Jungho.

In: PloS one, Vol. 9, No. 2, e88514, 11.02.2014.

Research output: Contribution to journalArticle

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