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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">spfp</journal-id><journal-title-group><journal-title xml:lang="ru">Хранение и переработка сельхозсырья</journal-title><trans-title-group xml:lang="en"><trans-title>Storage and Processing of Farm Products</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-9669</issn><issn pub-type="epub">2658-767X</issn><publisher><publisher-name>РОСБИОТЕХ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.36107/spfp.2026.3.769</article-id><article-id custom-type="elpub" pub-id-type="custom">spfp-769</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>ПРОЕКТИРОВАНИЕ И МОДЕЛИРОВАНИЕ ПРОДУКТОВ ПИТАНИЯ НОВОГО ПОКОЛЕНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DESIGNING AND MODELLING THE NEW GENERATION FOODS</subject></subj-group></article-categories><title-group><article-title>Балансовое моделирование материальных потоков при производстве криостабильного творожного сыра</article-title><trans-title-group xml:lang="en"><trans-title>Mass-Flow Balance Modeling in the Production of Freeze-Stable Cream Cheese</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Арутюнян</surname><given-names>Саргис Симонович</given-names></name><name name-style="western" xml:lang="en"><surname>Arutunyan</surname><given-names>Sargis S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>аспирант</p><p> </p><p> </p></bio><email xlink:type="simple">sargis.arut@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0913-5644</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кондратенко</surname><given-names>Владимир Владимирович</given-names></name><name name-style="western" xml:lang="en"><surname>Kondratenko</surname><given-names>Vladimir V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>старший научный сотрудник лаборатории технологий молочных продуктовSPIN-код: 3383-1774AuthorID: 144819ORCID: 0000-0002-0913-5644Scopus ID: 57111785100ResearcherID: E-3592-2010</p></bio><email xlink:type="simple">v_kondratenko@vnimi.org</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1304-1517</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пряничникова</surname><given-names>Наталия Сергеевна</given-names></name><name name-style="western" xml:lang="en"><surname>Pryanichnikova</surname><given-names>Natalia S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Заместитель директора по научной работеSPIN-код: 4098-877AuthorID: 637827</p></bio><email xlink:type="simple">n_pryanichnikova@vnimi.org</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8967-7074</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Агаркова</surname><given-names>Евгения Юрьевна</given-names></name><name name-style="western" xml:lang="en"><surname>Agarkova</surname><given-names>Evgeniya Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>старший научный сотрудник лаборатории технологий молочных продуктовSPIN-код: 3149-6765AuthorID: 564102</p></bio><email xlink:type="simple">e_agarkova@vnimi.org</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5712-2020</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рябова</surname><given-names>Анастасия Евгеньевна</given-names></name><name name-style="western" xml:lang="en"><surname>Ryabova</surname><given-names>Anastasia E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Заместитель директора по образованиюSPIN-код: 8425-8422AuthorID: 671618</p></bio><email xlink:type="simple">a_ryabova@vnimi.org</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Всероссийский научно-исследовательский институт молочной промышленности</institution><country>Россия</country></aff><aff xml:lang="en"><institution>All-Russian Dairy Research Institute</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>30</day><month>09</month><year>2026</year></pub-date><volume>34</volume><issue>3</issue><elocation-id>769</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Арутюнян С.С., Кондратенко В.В., Пряничникова Н.С., Агаркова Е.Ю., Рябова А.Е., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Арутюнян С.С., Кондратенко В.В., Пряничникова Н.С., Агаркова Е.Ю., Рябова А.Е.</copyright-holder><copyright-holder xml:lang="en">Arutunyan S.S., Kondratenko V.V., Pryanichnikova N.S., Agarkova E.Y., Ryabova A.E.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://www.spfs-journal.ru/jour/article/view/769">https://www.spfs-journal.ru/jour/article/view/769</self-uri><abstract><sec><title>Введение</title><p>Введение. Актуальность обусловлена необходимостью обоснования эффективности локализации производства высокобелковых молочных продуктов, устойчивых к однократному воздействию отрицательных температур при транспортировке потребителю.</p></sec><sec><title>Цель</title><p>Цель. Разработать сбалансированную математическую модель сырьевых потоков технологии получения криостабильного творожного сыра из молока, обеспечивающей научно обоснованный выбор рецептурно-технологических параметров для производства в приарктических регионах Дальнего Востока. </p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В работе использованы классические уравнения материального баланса сепарирования молока и закономерности перехода белка при производстве творога. На основе закона сохранения массы, второго закона Рауля (Raoult) с поправкой Вант-Гоффа (van't Hoff ), метода линейного программирования, степенного закона Оствальда - де Вейла (Ostwald - de Waele) и системы Атуотера (Atwater) разработана инвариантная математическая модель, реализованная в виде программного обеспечения в среде Wolfram Mathematica 10.2. </p></sec><sec><title>Результаты</title><p>Результаты. Рассмотрены два сценария использования сливок, получаемых при сепарировании: частичное (сценарий а) и полное (сценарий б), при варьировании доли творога в бинарной системе «творог – сливки» (T) 65…85 %) и жирности сливок ()  10…85 %. Установлены нелинейные закономерности влияния факторов T и  на выход творожного сыра, сыворотки и вторичных сливок, массовые доли белка и жира, криоскопическую депрессию и динамическую вязкость продукта; определена фундаментальная граница перехода между сценариями (T = 65 % при  = 44,48 %) и терминальная область, в которой решения по сценарию б) не существуют без внесения молочно-белкового концентрата. </p></sec><sec><title>Выводы</title><p>Выводы: ключевым лимитирующим фактором технологии является доля творога в бинарной смеси, тогда как жирность сливок выступает дополняющим фактором. Разработанная модель и программное обеспечение позволяют целенаправленно проектировать рецептуру и режимы производства творожного сыра с заданными выходом, составом и криостабильностью.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. The study is motivated by the need to justify the efficiency of localizing the production of high-protein dairy products capable of withstanding a single exposure to sub-zero temperatures during transport to the consumer.</p></sec><sec><title>Purpose</title><p>Purpose. To develop a balanced mathematical model of raw material flows for the production of cryostable curd cheese from milk, enabling the scientifically grounded selection of formulation and processing parameters for production in the sub-Arctic regions of the Russian Far East.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. The study employs classical material balance equations for milk separation and established patterns of protein transfer during curd production. An invariant mathematical model was developed and implemented as software in the Wolfram Mathematica 10.2 environment using principle of mass conservation, Raoult's second law (with the van't Hoff correction), linear programming, the Ostwald - de Waele power law, and the Atwater system.</p></sec><sec><title>Results</title><p>Results. Two scenarios for utilizing the cream obtained during separation were analyzed: partial (Scenario A) and complete (Scenario B) utilization. Variables included the proportion of curd in the binary "curd–cream" system (T = 65…85 %) and the cream fat content ( =10…85 %). Non-linear relationships were established regarding the impact of factors T and  on the yields of curd cheese, whey, and secondary cream; on protein and fat mass fractions; and on the product's cryoscopic depression and dynamic viscosity. A fundamental transition boundary between the scenarios was identified (T = 65 % при  = 44,48 %), along with a terminal region where solutions for Scenario B do not exist without the addition of milk protein concentrate.</p></sec><sec><title>Conclusion</title><p>Conclusion. The proportion of curd in the binary mixture is the key limiting factor of the technology, whereas cream fat content acts as a supplementary factor. The developed model and Powersoftware enable the targeted design of the formulation and production parameters for curd cheese with specified yield, composition, and cryostability.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>творожный сыр</kwd><kwd>материальный баланс</kwd><kwd>криоскопическая депрессия</kwd><kwd>молочно-белковый концентрат</kwd><kwd>криомодуляторы-полиолы</kwd><kwd>математическое моделирование</kwd><kwd>приарктические регионы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>cream cheese</kwd><kwd>mass balance</kwd><kwd>cryoscopic depression</kwd><kwd>milk protein concentrate</kwd><kwd>cryomodulators-polyols</kwd><kwd>mathematical modeling</kwd><kwd>subarctic regions</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследования проведены в рамках государственного задания Министерства науки и высшего образования Российской Федерации FNSS-2025-0003 «Развить принципы интегральных процессовых и методологических наукоемких решений для повышения эффективности и экологичности промышленных технологий переработки молока в условиях последовательного ряда переделов»</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">Иванов, В. 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