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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....

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Detalles Bibliográficos
Autores principales: Joe, Yun Haeng, Yoon, Ki Young, Hwang, Jungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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.
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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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