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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/VJGB-23-101</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-3988</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЭКОЛОГИЧЕСКАЯ КОМПЬЮТЕРНАЯ БИОЛОГИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECOLOGICAL COMPUTATIONAL BIOLOGY</subject></subj-group></article-categories><title-group><article-title>Математическая модель системы жизнеобеспечения  на основе водорослей, замкнутая по кислороду  и углекислому газу</article-title><trans-title-group xml:lang="en"><trans-title>Alga-based mathematical model  of a life support system  closed in oxygen and carbon dioxide</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4993-6358</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Семёнов</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Semyonov</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Красноярск</p></bio><bio xml:lang="en"><p>Krasnoyarsk</p></bio><email xlink:type="simple">semenov@ibp.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8649-5419</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дегерменджи</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Degermendzhi</surname><given-names>A. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Красноярск</p></bio><bio xml:lang="en"><p>Krasnoyarsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт биофизики Сибирского отделения Российской академии наук, Федеральный исследовательский центр «Красноярский научный центр СО РАН»<country>Россия</country></aff><aff xml:lang="en">Institute of Biophysics of the Siberian Branch of the Russian Academy of Sciences, Federal Research Center “Krasnoyarsk Science Center SB RAS”<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>11</day><month>12</month><year>2023</year></pub-date><volume>27</volume><issue>7</issue><fpage>878</fpage><lpage>883</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Семёнов Д.А., Дегерменджи А.Г., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Семёнов Д.А., Дегерменджи А.Г.</copyright-holder><copyright-holder xml:lang="en">Semyonov D.A., Degermendzhi A.G.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vavilov.elpub.ru/jour/article/view/3988">https://vavilov.elpub.ru/jour/article/view/3988</self-uri><abstract><p>Целью исследования было сравнить методы количественного анализа, применявшиеся на ранних этапах создания прототипов замкнутых систем, с современными подходами анализа данных. В качестве примера рассмотрена математическая модель устойчивого сосуществования двух микроводорослей в смешанной проточной культуре, предложенная Болсуновским и Дегерменджи в 1982 г. Модель построена на основе детального теоретического описания взаимодействия видов и субстрата (в данном случае освещенности). Возможность управления соотношением видов позволяет регулировать ассимиляционный коэффициент (AQ), т. е. отношение поглощенного углекислого газа к выделенному кислороду. Задача управления ассимиляционным коэффициентом системы жизнеобеспечения до сих пор актуальна, микроводоросли рассматриваются как перспективные генераторы кислорода и в современных работах. При этом акцент в них сделан на эмпирических методах моделирования, в частности на анализе больших данных; также работы не выходят за пределы задачи управления монокультурой микроводорослей. В настоящем исследовании мы обращаем внимание на три результата, по нашему мнению, удачно дополняющих современные методы. Во-первых, модель позволяет использовать результаты экспериментов с монокультурами, во-вторых, предсказывает преобразование данных к виду, удобному для дальнейшего анализа, в том числе для вычисления AQ. В-третьих, модель позволяет гарантировать устойчивость полученного приближения и в дальнейшем искать решение как малую поправку эмпирическими методами.</p></abstract><trans-abstract xml:lang="en"><p>The purpose of the study was to compare quantitative analysis methods used in the early stages of closed-loop system prototyping with modern data analysis approaches. As an example, a mathematical model of the stable coexistence of two microalgae in a mixed flow culture, proposed by Bolsunovsky and Degermendzhi in 1982, is considered. The model is built on the basis of a detailed theoretical description of the interaction between species and substrate (in this case, illumination). The ability to control the species ratio allows you to adjust the assimilation quotient (AQ), that is, the ratio of carbon dioxide absorbed to oxygen released. The problem of controlling the assimilation coefficient of a life support system is still relevant; in modern works, microalgae are considered as promising oxygen generators. At the same time, modern works place emphasis on empirical modeling methods, in particular, on the analysis of big data, and the work does not go beyond the task of managing a monoculture of microalgae. In our work, we pay attention to three results that, in our opinion, successfully complement modern methods. Firstly, the model allows the use of results from experiments with monocultures. Secondly, the model predicts the transformation of data into a form convenient for further analysis, including for calculating AQ. Thirdly, the model allows us to guarantee the stability of the resulting approximation and further refine the solution by small corrections using empirical methods.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>система жизнеобеспечения (СЖО)</kwd><kwd>математическая модель</kwd><kwd>смешанная культура двух водорослей</kwd></kwd-group><kwd-group xml:lang="en"><kwd>life support system (LSS)</kwd><kwd>mathematical model</kwd><kwd>mixed culture of two algae</kwd></kwd-group><funding-group xml:lang="en"><funding-statement>The study was supported by the Russian Science Foundation grant No. 23-44-00059, https://rscf.ru/project/23-44-00059/</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Belyanin V.N., Bolsunovskiy A.Ya. Regulation of species range in a two-component algae community in an experiment. In: Parametric Control of Microalgal Biosynthesis. 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