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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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Published in: | BIO Web of Conferences 2020, Vol.23, p.2004 |
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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 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. |
doi_str_mv | 10.1051/bioconf/20202302004 |
format | article |
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0
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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
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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. 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Solving the Cauchy problem</title><author>Nikitina, Marina A. ; Chernukha, Irina M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-1bd4c3a3098b01a75e749278a09f77453466ee97fecf5625326874c7d794361f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cauchy problems</topic><topic>Computer programs</topic><topic>Computer simulation</topic><topic>Computers</topic><topic>Cultivation</topic><topic>Differential equations</topic><topic>Growth kinetics</topic><topic>Growth patterns</topic><topic>Information technology</topic><topic>Initial conditions</topic><topic>Inoculum</topic><topic>Mathematical analysis</topic><topic>Microorganisms</topic><topic>Numerical integration</topic><topic>Ordinary differential equations</topic><topic>Personal computers</topic><topic>Populations</topic><topic>Programming languages</topic><topic>Runge-Kutta method</topic><topic>Software</topic><topic>Substrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nikitina, Marina A.</creatorcontrib><creatorcontrib>Chernukha, Irina M.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BIO Web of Conferences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nikitina, Marina A.</au><au>Chernukha, Irina M.</au><au>Solovyev, D.</au><au>Burygin, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Studying growth kinetics of microbial populations using information technology. 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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.</abstract><cop>Les Ulis</cop><pub>EDP Sciences</pub><doi>10.1051/bioconf/20202302004</doi><oa>free_for_read</oa></addata></record> |
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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 |
title | Studying growth kinetics of microbial populations using information technology. Solving the Cauchy problem |
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