A Computational Model to Predict Antibiotic Susceptibility of Pseudomonas Aeruginosa Biofilms

R, Anil (2014) A Computational Model to Predict Antibiotic Susceptibility of Pseudomonas Aeruginosa Biofilms. Masters thesis, Indian Institute of Technology, Hyderabad.

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A Three dimensional cellular automata model to predict antibiotic susceptibility of Pseudomonas aeruginosa biolms has been developed. This model integrates the process of substrate transport and utilisation, biomass growth, biomass division and spreading, cell death and detachment, EPS production, quorum sensing and antimicrobial drug administrational killing. There are dierent mechanisms of antibiotic resistance of bacterial population in biolm mode of growth have been re- ported such as, depletion of antimicrobial agents by reaction with biomass or physiological resistance due to reduced bacterial growth in the biolm, etc.. Our model investigated the biolm susceptibil- ity depending upon the growth rate of microbial population and concentration of antibiotic during antimicrobial treatment. Bacterial growth rate eects on microbial mat resistance studied using two dierent substrate concentrations 3 gm m-3 and 5 gm m-3. To study antibiotic concentration dependent killing, Pseudomonas aeruginosa biolms were grown in 3 gm m-3 nutrient concentration with three antimicrobial concentrations. Antibiotic agent concentration was varied from 0 gm m-3 to 10 gm m-3 to observe Pseudomonas aeruginosa biolms susceptibility. Antimicrobial therapy was initiated at 40th hour of biolm simulation and continued for next 48 hours. Biolm developed under low nutrient concentration treated with low concentration of antibiotic shows an extended life cycle having a smoother and compact structure than untreated biolm matrix, while upon treat- ment with high concentration of antibiotic, bacterial cell death happens for the same biolm. In untreated biolm cell death starts at bottom core of the biolm whereas in treated biolms cell death happens at top surface of the biolm. Biolm grown under high substrate concentration died faster, forms a rougher surface whereas biolms grown under low substrate concentration retains viable for prolonged time, forms very compact structure.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: TD232
Subjects: Chemical Engineering > Biochemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Team Library
Date Deposited: 29 Oct 2014 05:32
Last Modified: 15 Jul 2019 10:13
URI: http://raiith.iith.ac.in/id/eprint/495
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