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Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate
Bacterial biofilms are organized communities composed of millions of microorganisms that accumulate on almost any kinds of surfaces. In this paper, a biofilm growth model on an agar substrate is developed based on mass conservation principles, Fick's first law, and Monod's kinetic reaction...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556878/ https://www.ncbi.nlm.nih.gov/pubmed/26355542 http://dx.doi.org/10.1155/2015/581829 |
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author | Wang, Xiaoling Wang, Guoqing Hao, Mudong |
author_facet | Wang, Xiaoling Wang, Guoqing Hao, Mudong |
author_sort | Wang, Xiaoling |
collection | PubMed |
description | Bacterial biofilms are organized communities composed of millions of microorganisms that accumulate on almost any kinds of surfaces. In this paper, a biofilm growth model on an agar substrate is developed based on mass conservation principles, Fick's first law, and Monod's kinetic reaction, by considering nutrient diffusion between biofilm and agar substrate. Our results show biofilm growth evolution characteristics such as biofilm thickness, active biomass, and nutrient concentration in the agar substrate. We quantitatively obtain biofilm growth dependence on different parameters. We provide an alternative mathematical method to describe other kinds of biofilm growth such as multiple bacterial species biofilm and also biofilm growth on various complex substrates. |
format | Online Article Text |
id | pubmed-4556878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45568782015-09-09 Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate Wang, Xiaoling Wang, Guoqing Hao, Mudong Comput Math Methods Med Research Article Bacterial biofilms are organized communities composed of millions of microorganisms that accumulate on almost any kinds of surfaces. In this paper, a biofilm growth model on an agar substrate is developed based on mass conservation principles, Fick's first law, and Monod's kinetic reaction, by considering nutrient diffusion between biofilm and agar substrate. Our results show biofilm growth evolution characteristics such as biofilm thickness, active biomass, and nutrient concentration in the agar substrate. We quantitatively obtain biofilm growth dependence on different parameters. We provide an alternative mathematical method to describe other kinds of biofilm growth such as multiple bacterial species biofilm and also biofilm growth on various complex substrates. Hindawi Publishing Corporation 2015 2015-08-17 /pmc/articles/PMC4556878/ /pubmed/26355542 http://dx.doi.org/10.1155/2015/581829 Text en Copyright © 2015 Xiaoling Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Xiaoling Wang, Guoqing Hao, Mudong Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate |
title | Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate |
title_full | Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate |
title_fullStr | Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate |
title_full_unstemmed | Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate |
title_short | Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate |
title_sort | modeling of the bacillus subtilis bacterial biofilm growing on an agar substrate |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556878/ https://www.ncbi.nlm.nih.gov/pubmed/26355542 http://dx.doi.org/10.1155/2015/581829 |
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