Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
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 
Submitted: 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.

Key words:  Cellular automata model, substrate limitation effect, space inhibition effect, transition rules, , ,
Abstract PDF HTML
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.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved