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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Main Authors: Nikitina Marina A., Chernukha Irina M.
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/full_html/2020/07/bioconf_plamic2020_02004/bioconf_plamic2020_02004.html
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spelling doaj-ffeb3af81e9c4a4ebddf4e82f07bf1682021-04-02T16:14:23ZengEDP SciencesBIO Web of Conferences2117-44582020-01-01230200410.1051/bioconf/20202302004bioconf_plamic2020_02004Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problemNikitina Marina A.0Chernukha Irina M.1V.M. Gorbatov Federal Research Center for Food Systems of RAS, Center of Economic and Analytical Research and Information TechnologiesV.M. Gorbatov Federal Research Center for Food Systems of RAS, Experimental clinic-laboratory “Biologically active substances of an animal origin”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 S0=1; the initial concentration of microorganisms has been considered in four variants: M0=0.01, M0=0.05, M0=0.1, M0=0.2, which correspond to 1%, 5%, 10%, 20% of the inoculum density accordingly; affinity ration of the substrate to microorganisms Ks=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.https://www.bio-conferences.org/articles/bioconf/full_html/2020/07/bioconf_plamic2020_02004/bioconf_plamic2020_02004.html
collection DOAJ
language English
format Article
sources DOAJ
author Nikitina Marina A.
Chernukha Irina M.
spellingShingle Nikitina Marina A.
Chernukha Irina M.
Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem
BIO Web of Conferences
author_facet Nikitina Marina A.
Chernukha Irina M.
author_sort Nikitina Marina A.
title Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem
title_short Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem
title_full Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem
title_fullStr Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem
title_full_unstemmed Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem
title_sort studying growth kinetics of microbial populations using information technology. solving the cauchy problem
publisher EDP Sciences
series BIO Web of Conferences
issn 2117-4458
publishDate 2020-01-01
description 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 S0=1; the initial concentration of microorganisms has been considered in four variants: M0=0.01, M0=0.05, M0=0.1, M0=0.2, which correspond to 1%, 5%, 10%, 20% of the inoculum density accordingly; affinity ration of the substrate to microorganisms Ks=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.
url https://www.bio-conferences.org/articles/bioconf/full_html/2020/07/bioconf_plamic2020_02004/bioconf_plamic2020_02004.html
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