Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem

The possibilities of information technologies in the study of growth dynamics and development of microbial populations have been shown. In the R programming language in the Jupyter Notebooks environment, a direct kinetic problem has been solved. Kinetic regularities of growth of microbial population...

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Bibliographic Details
Published in:BIO Web of Conferences 2020, Vol.23, p.2004
Main Authors: Nikitina, Marina A., Chernukha, Irina M.
Format: Article
Language:English
Subjects:
Cauchy problems
Computer programs
Computer simulation
Computers
Cultivation
Differential equations
Growth kinetics
Growth patterns
Information technology
Initial conditions
Inoculum
Mathematical analysis
Microorganisms
Numerical integration
Ordinary differential equations
Personal computers
Populations
Programming languages
Runge-Kutta method
Software
Substrates
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Summary:The possibilities of information technologies in the study of growth dynamics and development of microbial populations have been shown. In the R programming language in the Jupyter Notebooks environment, a direct kinetic problem has been solved. Kinetic regularities of growth of microbial populations under periodic cultivation have been considered within the framework of an approximation based on numerical integration of velocity equations. The one-step Runge-Kutta method of the fourth order of accuracy has been used as a method for solving a differential equation with initial conditions (Cauchy problem). Initial conditions of the problem were: the number of time steps n=10,000; initial substrate concentration S 0 =1; the initial concentration of microorganisms has been considered in four variants: M 0 =0.01, M 0 =0.05, M 0 =0.1, M 0 =0.2, which correspond to 1%, 5%, 10%, 20% of the inoculum density accordingly; affinity ration of the substrate to microorganisms K s =0.5. The use of modern information technologies in the analysis of microbial growth patterns is mainly determined by the capabilities of personal computers, software environments and shells. The potential of modern software in the implementation of applied engineering and research problems in solving ordinary differential equations describing the development and course of the microbial process over time has been presented.
ISSN:2117-4458
2273-1709
2117-4458
DOI:10.1051/bioconf/20202302004