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Computer Research and Modeling, 2023, Volume 15, Issue 3, Pages 739–756
DOI: https://doi.org/10.20537/2076-7633-2023-15-3-739-756
(Mi crm1086)
 

This article is cited in 1 scientific paper (total in 1 paper)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

Modeling of the macromolecular composition dynamics of microalgae batch culture

A. S. Lelekov, R. P. Trenkenshu

A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2 Nachimova ave., Sevastopol, 299011, Russia
Full-text PDF (424 kB) Citations (1)
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Abstract: The work focuses on mathematical modeling of light influence mechanisms on macromolecular composition of microalgae batch culture. It is shown that even with a single limiting factor, the growth of microalgae is associated with a significant change in the biochemical composition of the biomass in any part of the batch curve. The well-known qualitative models of microalgae are based on concepts of enzymatic kinetics and do not take into account the possible change of the limiting factor during batch culture growth. Such models do not allow describing the dynamics of the relative content of biochemical components of cells. We proposed an alternative approach which is based on generally accepted two-stage photoautotrophic growth of microalgae. Microalgae biomass can be considered as the sum of two macromolecular components — structural and reserve. At the first stage, during photosynthesis a reserve part of biomass is formed, from which the biosynthesis of cell structures occurs at the second stage. Model also assumes the proportionality of all biomass structural components which greatly simplifies mathematical calculations and experimental data fitting. The proposed mathematical model is represented by a system of two differential equations describing the synthesis of reserve biomass compounds at the expense of light and biosynthesis of structural components from reserve ones. The model takes into account that a part of the reserve compounds is spent on replenishing the pool of macroergs. The rates of synthesis of structural and reserve forms of biomass are given by linear splines. Such approach allows us to mathematically describe the change in the limiting factor with an increase in the biomass of the enrichment culture of microalgae. It is shown that under light limitation conditions the batch curve must be divided into several areas: unlimited growth, low cell concentration and optically dense culture. The analytical solutions of the basic system of equations describing the dynamics of macromolecular biomass content made it possible to determine species-specific coefficients for various light conditions. The model was verified on the experimental data of biomass growth and dynamics of chlorophyll a content of the red marine microalgae Pîrphóridium purpuråum batch culture.
Keywords: mathematical model, growth rates, biochemical composition, light intensity, linear splines, light absorption coefficient, chlorophyll a.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation 121030300149-0
The work is carried out within the framework of the state task of the A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, state no. registration 121030300149-0.
Received: 29.08.2022
Accepted: 16.01.2023
Document Type: Article
UDC: 57.032:033
Language: Russian
Citation: A. S. Lelekov, R. P. Trenkenshu, “Modeling of the macromolecular composition dynamics of microalgae batch culture”, Computer Research and Modeling, 15:3 (2023), 739–756
Citation in format AMSBIB
\Bibitem{LelTre23}
\by A.~S.~Lelekov, R.~P.~Trenkenshu
\paper Modeling of the macromolecular composition dynamics of microalgae batch culture
\jour Computer Research and Modeling
\yr 2023
\vol 15
\issue 3
\pages 739--756
\mathnet{http://mi.mathnet.ru/crm1086}
\crossref{https://doi.org/10.20537/2076-7633-2023-15-3-739-756}
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  • https://www.mathnet.ru/eng/crm/v15/i3/p739
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Computer Research and Modeling
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