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Methodology for Modeling the Microbial Contamination of Air Filters
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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921200/ https://www.ncbi.nlm.nih.gov/pubmed/24523908 http://dx.doi.org/10.1371/journal.pone.0088514 |
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author | Joe, Yun Haeng Yoon, Ki Young Hwang, Jungho |
author_facet | Joe, Yun Haeng Yoon, Ki Young Hwang, Jungho |
author_sort | Joe, Yun Haeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3921200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39212002014-02-12 Methodology for Modeling the Microbial Contamination of Air Filters Joe, Yun Haeng Yoon, Ki Young Hwang, Jungho PLoS One Research Article 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. Public Library of Science 2014-02-11 /pmc/articles/PMC3921200/ /pubmed/24523908 http://dx.doi.org/10.1371/journal.pone.0088514 Text en © 2014 Joe et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Joe, Yun Haeng Yoon, Ki Young Hwang, Jungho Methodology for Modeling the Microbial Contamination of Air Filters |
title | Methodology for Modeling the Microbial Contamination of Air Filters |
title_full | Methodology for Modeling the Microbial Contamination of Air Filters |
title_fullStr | Methodology for Modeling the Microbial Contamination of Air Filters |
title_full_unstemmed | Methodology for Modeling the Microbial Contamination of Air Filters |
title_short | Methodology for Modeling the Microbial Contamination of Air Filters |
title_sort | methodology for modeling the microbial contamination of air filters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921200/ https://www.ncbi.nlm.nih.gov/pubmed/24523908 http://dx.doi.org/10.1371/journal.pone.0088514 |
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