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2013 (Vol. 6, Issue: 11)
Article Information:

Microbial Growth Modeling and Simulation Based on Cellular Automata

Hong Men and Xiaojuan Zhao
Corresponding Author:  Men Hong, School of Automation Engineering 

Key words:  Cellular automata model, substrate limitation effect, space inhibition effect, transition rules, , ,
Vol. 6 , (11): 2061-2066
Submitted Accepted Published
November 29, 2012 January 17, 2013 July 25, 2013

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.
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  Cite this Reference:
Hong Men and Xiaojuan Zhao, 2013. Microbial Growth Modeling and Simulation Based on Cellular Automata.  Research Journal of Applied Sciences, Engineering and Technology, 6(11): 2061-2066.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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