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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.2026.1.667</article-id><article-id custom-type="elpub" pub-id-type="custom">spfp-667</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>Многокритериальная оптимизация рецептуры мягких вафель на основе  ржаной муки и яблочной клетчатки с применением симплекс-центроидного планирования</article-title><trans-title-group xml:lang="en"><trans-title>Multicriteria Optimization of Soft Wafer Formulation Based on Rye Flour and Apple Fiber Using Simplex-Centroid Design</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7418-2773</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Саитова</surname><given-names>Маргарита Эдуардовна</given-names></name><name name-style="western" xml:lang="en"><surname>Margarita</surname><given-names>Saitova E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Доцент кафедры  индустрии питания, гостиничного бизнеса и сервиса, к.т.н.</p></bio><email xlink:type="simple">saitovame@mgupp.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/0000-0003-0708-1694</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Молчанова</surname><given-names>Елена Николаевна</given-names></name><name name-style="western" xml:lang="en"><surname>Molchanova</surname><given-names>Elena N</given-names></name></name-alternatives><bio xml:lang="ru"><p>Профессор кафедры  индустрии питания, гостиничного бизнеса и сервиса, к.б.н., доцент</p><p>Профиль в elibrary:  <ext-link xlink:href="https://www.elibrary.ru/author_items.asp?authorid=629682" ext-link-type="uri">https://www.elibrary.ru/author_items.asp?authorid=629682</ext-link></p></bio><email xlink:type="simple">melena2004@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Российский биотехнологический университет</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>19</day><month>06</month><year>2026</year></pub-date><volume>34</volume><issue>1</issue><elocation-id>667</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Саитова М.Э., Молчанова Е.Н., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Саитова М.Э., Молчанова Е.Н.</copyright-holder><copyright-holder xml:lang="en">Margarita S.E., Molchanova E.N.</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.spfp-mgupp.ru/jour/article/view/667">https://www.spfp-mgupp.ru/jour/article/view/667</self-uri><abstract><sec><title>Введение</title><p>Введение. Традиционные мягкие вафли отличаются низкой биологической ценностью и недостаточным содержанием пищевых волокон. Несмотря на высокий нутриентный потенциал ржаной муки, систематические исследования её применения в качестве основного компонента рецептуры мягких вафель отсутствуют. Основная проблема заключается в технологической сложности замещения пшеничной муки ржаной без потери структурно-механических и сенсорных свойств изделий. </p></sec><sec><title>Цель</title><p>Цель. Оптимизация рецептуры мягких вафель с добавлением ржаной муки для получения продукта с повышенным содержанием пищевых волокон и привлекательными органолептическими характеристиками.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы.  Эксперимент включал 7 вариантов состава, полученных методом симплекс-центроидного планирования с границами варьирования: ржаная мука 40–70 %, пшеничная мука 25–55 %, яблочная клетчатка 5–35 %. Качество образцов оценивали по содержанию пищевых волокон (расчетный метод) и органолептическим показателям. Статистическую обработку и построение моделей «состав-свойство» проводили в Statistica 12.0 с использованием дисперсионного анализа (α = 0,05). Оптимальный состав подбирали с помощью инструмента Excel «Поиск решения».</p></sec><sec><title>Результаты</title><p>Результаты. Получена статистически значимая линейная модель зависимости качества мягких вафель от рецептурного состава (p = 0,003; R2 = 0,944). Установлено, что достижение целевого уровня пищевых волокон (6 %) невозможно без введения яблочной клетчатки. Однако её концентрация свыше 20 % приводила к резкому снижению органолептической оценки готовых изделий. Определено оптимальное соотношение компонентов смеси: ржаная мука - 46,0 %, пшеничная мука - 37,3 %, яблочная клетчатка - 16,7 %. Данный состав обеспечивал содержание пищевых волокон 6 % (в 3,8 раза выше, чем в мягких вафлях из муки пшеничной) и органолептическую оценку 8,5 балла. Валидация модели подтвердила высокую точность прогноза (отклонение экспертной оценки от расчетной - 0,2 балла).</p></sec><sec><title>Выводы</title><p>Выводы. Обоснована возможность создания мягких вафель с использованием ржаной муки и яблочной клетчатки, соответствующих критерию «высокое содержание пищевых волокон» (ТР ТС 022/2011). Разработанный методологический подход позволяет эффективно балансировать между функциональной ценностью и потребительскими свойствами мучных кондитерских изделий.</p></sec><sec><title> </title><p> </p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Traditional soft waffles have low biological value and insufficient dietary fiber. Despite the high nutritional potential of rye flour, systematic studies on its use as a key ingredient in soft waffle recipes are lacking. The main challenge lies in the technological complexity of replacing wheat flour with rye flour without compromising the structural, mechanical, and sensory properties of the product..</p></sec><sec><title>Purpose</title><p>Purpose.  Optimization of the soft waffle recipe with the addition of rye flour to obtain a product with increased dietary fiber content and attractive organoleptic characteristics..</p></sec><sec><title>Materials and  Methods</title><p>Materials and  Methods. The experiment included seven composition variants obtained using the simplex-centroid design method with variation boundaries: rye flour 40-70%, wheat flour 25-55%, and apple fiber 5-35%. Sample quality was assessed based on dietary fiber content (calculated) and organoleptic properties. Statistical processing and construction of composition-property models were performed in Statistica 12.0 using ANOVA (α = 0.05). The optimal composition was selected using the Excel Solver tool.</p></sec><sec><title>Results</title><p>Results. A statistically significant linear model of the relationship between the quality of soft wafers and the recipe composition was obtained (p = 0.003; R2 = 0.944). It was found that achieving the target level of dietary fiber (6%) is impossible without the addition of apple fiber. However, its concentration above 20% led to a sharp decrease in the organoleptic assessment of the finished products. The optimal ratio of the mixture components was determined: rye flour - 46.0%, wheat flour - 37.3%, apple fiber - 16.7%. This composition provided a dietary fiber content of 6% (3.8 times higher than in soft wafers made from wheat flour) and an organoleptic rating of 8.5 points. Validation of the model confirmed the high accuracy of the forecast (deviation of the expert estimate from the calculated one is 0.2 points).</p></sec><sec><title>Conclusion</title><p>Conclusion. The feasibility of creating soft wafers using rye flour and apple fiber that meet the "high dietary fiber content" criterion (TR CU 022/2011) has been substantiated. The developed methodological approach enables an effective balance between the functional value and consumer properties of flour confectionery products.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>мягкие вафли</kwd><kwd>ржаная мука</kwd><kwd>яблочная клетчатка</kwd><kwd>симплекс-центроидное планирование</kwd><kwd>оптимизация рецептуры</kwd><kwd>пищевые волокна</kwd></kwd-group><kwd-group xml:lang="en"><kwd>soft waffles</kwd><kwd>rye flour</kwd><kwd>apple fiber</kwd><kwd>simplex-centroid planning</kwd><kwd>recipe optimization</kwd><kwd>dietary fiber</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Артемова, Е., &amp; Гольцова, Е. (2023). Комплексная оценка качества бисквитов с мукой зерновых культур. 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