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Article Information:
Microbial Growth Modeling and Simulation Based on Cellular Automata
Hong Men and Xiaojuan Zhao
Corresponding Author: Men Hong, School of Automation Engineering
Submitted: November 29, 2012
Accepted: January 17, 2013
Published: July 25, 2013 |
Abstract:
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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.
Key words: Cellular automata model, substrate limitation effect, space inhibition effect, transition rules, , ,
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Cite this Reference:
Hong Men and Xiaojuan Zhao, . Microbial Growth Modeling and Simulation Based on Cellular Automata. Research Journal of Applied Sciences, Engineering and Technology, (11): 2061-2066.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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