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     Research Journal of Applied Sciences, Engineering and Technology


Microbial Growth Modeling and Simulation Based on Cellular Automata

Hong Men and Xiaojuan Zhao
School of Automation Engineering, Northeast Dianli University, Jilin 132012, China
Research Journal of Applied Sciences, Engineering and Technology  2013  11:2061-2066
http://dx.doi.org/10.19026/rjaset.6.3824  |  © The Author(s) 2013
Received: November 29, 2012  |  Accepted: January 17, 2013  |  Published: July 25, 2013

Abstract

In order to simulate the micro-evolutionary process of the microbial growth, [Methods] in this study, we adopt two-dimensional cellular automata as its growth space. Based on evolutionary mechanism of microbial and cell-cell interactions, we adopt Moore neighborhood and make the transition rules. Finally, we construct the microbial growth model. [Results] It can describe the relationships among the cell growth, division and death. And also can effectively reflect spatial inhibition effect and substrate limitation effect. [Conclusions] The simulation results show that CA model is not only consistent with the classic microbial kinetic model, but also be able to simulate the microbial growth and evolution.

Keywords:

Cellular automata model, substrate limitation effect, space inhibition effect, transition rules,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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