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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">vguit</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Воронежского государственного университета инженерных технологий</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the Voronezh State University of Engineering Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-910X</issn><issn pub-type="epub">2310-1202</issn><publisher><publisher-name>VSUET</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20914/2310-1202-2026-2-</article-id><article-id custom-type="elpub" pub-id-type="custom">vguit-3803</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>Пищевые системы</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Food systems</subject></subj-group></article-categories><title-group><article-title>Применение массива химических сенсоров для мониторинга степени зрелости плодов авокадо сорта Хасс</article-title><trans-title-group xml:lang="en"><trans-title>The use of an array of chemical sensors to monitor the degree of maturity of Hass avocado fruits</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-2001-6868</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Раков</surname><given-names>Н. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Rakov</surname><given-names>N. O.</given-names></name></name-alternatives><bio xml:lang="ru"><p>аспирант, базовая кафедра индустрии качества, Стремянный переулок, д. 36, г. Москва, 109992, Россия</p></bio><bio xml:lang="en"><p>109992.), assistant professor, Bakery technology, confectionery, pasta and grain processing industries department, Revolution Av., 19 Voronezh, 394036, Russia</p></bio><email xlink:type="simple">nikitarakovv@yandex.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/0000-0003-2715-9989</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Елисеева</surname><given-names>Л. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Eliseeva</surname><given-names>L. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д.т.н., профессор, базовая кафедра индустрии качества, Стремянный переулок, д. 36, г. Москва, 109992, Россия</p></bio><bio xml:lang="en"><p>, Department of Quality Industry, 36 Stremyanny Lane, Moscow, 109992, Russia</p></bio><email xlink:type="simple">eliseeva-reu@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7812-9195</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кумченко</surname><given-names>Т. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kumchenko</surname><given-names>T. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д.х.н., профессор, кафедра физической и аналитической химии, пр-т Революции, 19, г. Воронеж, 394036, Россия</p></bio><bio xml:lang="en"><p>Dr. Sci. (Chem.), professor, physical and analytical chemistry department, Revolution Av., 19 Voronezh, 394036, Russia</p></bio><email xlink:type="simple">tak1907@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский экономический университет имени Г.В. Плеханова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Voronezh State University of Engineering Technologies</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Российский экономический университет имени Г.В. Плеханова</institution><country>Russian Federation</country></aff><aff xml:lang="en"><institution>Plekhanov Russian University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Воронежский государственный университет инженерных технологий</institution><country>Russian Federation</country></aff><aff xml:lang="en"><institution>Voronezh State University of Engineering Technologies</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>06</month><year>2026</year></pub-date><volume>88</volume><issue>2</issue><fpage>132</fpage><lpage>141</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Раков Н.О., Елисеева Л.Г., Кумченко Т.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Раков Н.О., Елисеева Л.Г., Кумченко Т.А.</copyright-holder><copyright-holder xml:lang="en">Rakov N.O., Eliseeva L.G., Kumchenko T.A.</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.vestnik-vsuet.ru/vguit/article/view/3803">https://www.vestnik-vsuet.ru/vguit/article/view/3803</self-uri><abstract><p>В статье представлены результаты исследования эффективности использования метода неразрушающего контроля по определению степени зрелости авокадо сорта Хасс с помощью системы сенсоров «электронный нос» на базе многоканального пьезогазоанализатора «МАГ-8». Актуальность исследования обусловлена необходимостью оценки физиологической активности и потенциальных сроков годности климактерических плодов с путем замены субъективных органолептических оценок объективными инструментальными онлайн методами контроля в цепи поставок с целью минимизации потерь скоропортящейся продукции. Целью данного исследования являлась оценка возможности применения разноселективного массива пьезокварцевых сенсоров многоканального газоанализатора «МАГ-8». для разработки экспрессного неразрушающего способа оценки степени зрелости плодов авокадо, позволяющего минимизировать потери продукции на всех этапах цепи поставок. Полученные результаты позволили дифференцировать плоды по стадиям созревания (незрелые, спелые, перезрелые) на основе анализа профилей летучих органических соединений, выделяемых плодами в процессе дозревания. В работе представлены данные, подтверждающие корреляцию принятых органолептических и физико-химических методов (эмиссия этилена, интенсивность дыхания, твердость, содержание сухих веществ, цвет, аромат), оценки степени зрелости плодов авокадо и результатов оценки. Результаты подтвердили наличие статистически значимых корреляций между параметрами сенсорных сигналов и физиологическим статусом плодов. Предложенный подход позволяет оперативно и с высокой воспроизводимостью классифицировать авокадо по степени зрелости и определять потенциальный остаточный срок годности продукции, что открывает перспективы для автоматизации складского мониторинга, оптимизации сроков реализации и снижения экономических издержек при импорте и хранении плодоовощной продукции.</p></abstract><trans-abstract xml:lang="en"><p>The article presents the results of a study of the effectiveness of using the method of non-destructive testing to determine the degree of maturity of Hass avocados using an electronic nose sensor system based on a multichannel piezo gas analyzer MAG-8. The relevance of the study is due to the need to assess the physiological activity and potential shelf life of climacteric fruits by replacing subjective organoleptic assessments with objective instrumental online control methods in the supply chain in order to minimize the loss of perishable products. The purpose of this study was to evaluate the possibility of using a multiselective array of piezoquartz sensors of the multichannel gas analyzer MAG-8. to develop an express non-destructive method for assessing the degree of maturity of avocado fruits, which minimizes product losses at all stages of the supply chain. The obtained results made it possible to differentiate fruits by stages of maturation (immature, ripe, overripe) based on the analysis of profiles of volatile organic compounds (VOCs) released by fruits during maturation. The paper presents data confirming the correlation of the accepted organoleptic and physico-chemical methods (ethylene emission, respiration rate, hardness, dry matter content, color, aroma). assessment of the degree of maturity of avocado fruits and evaluation results. The results confirmed the presence of statistically significant correlations between the parameters of sensory signals and the physiological status of fetuses. The proposed approach makes it possible to quickly and reproducibly classify avocados according to the degree of maturity and determine the potential remaining shelf life of products, which opens up prospects for automating warehouse monitoring, optimizing sales dates and reducing economic costs during import and storage of fruit and vegetable products.)</p></trans-abstract><kwd-group xml:lang="ru"><kwd>авокадо</kwd><kwd>контроль качества</kwd><kwd>степень зрелости</kwd><kwd>летучие ароматические вещества</kwd><kwd>газовые сенсоры</kwd><kwd>оцифровка паттерна летучих соединений</kwd></kwd-group><kwd-group xml:lang="en"><kwd>avocado</kwd><kwd>quality control</kwd><kwd>degree of maturity</kwd><kwd>volatile aromatic substances</kwd><kwd>gas sensors</kwd><kwd>digitization of the pattern of volatile compounds</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">Николаева М.А., Елисеева Л.Г., Раков Н.О. и др. Пищевая ценность и товарное качество плодов авокадо // Пищевая промышленность. 2025. № 4. С. 78–82. doi: 10.52653/PPI.2025.4.4.014</mixed-citation><mixed-citation xml:lang="en">Nikolaeva M.A., Eliseeva L.G., Rakov N.O. et al. Nutritional value and commercial quality of avocado fruits. Food Industry. 2025. no. 4. pp. 78–82. doi: 10.52653/PPI.2025.4.4.014 (in Russian).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Елисеева Л.Г., Николаева М.А., Токарев П.И. и др. Состояние и перспективы развития рынка авокадо // Технология и товароведение инновационных пищевых продуктов. 2025. № 2 (91). С. 97–105. doi: 10.33979/2219-8466-2025-91-2-97-105</mixed-citation><mixed-citation xml:lang="en">Eliseeva L.G., Nikolaeva M.A., Tokarev P.I. et al. State and prospects for the development of the avocado market. Technology and Merchandising of Innovative Food Products. 2025. no. 2 (91). pp. 97–105. doi: 10.33979/2219-8466-2025-91-2-97-105 (in Russian).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Sa I., Ge Z., Dayoub F., Upcroft B. et al. DeepFruits: a fruit detection system using deep neural networks // Sensors. 2016. Vol. 16. No. 8. Article 1222. doi: 10.3390/s16081222</mixed-citation><mixed-citation xml:lang="en">Sa I., Ge Z., Dayoub F., Upcroft B. et al. DeepFruits: a fruit detection system using deep neural networks. Sensors. 2016. vol. 16. no. 8. article 1222. doi: 10.3390/s16081222.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Wang J., Teng B., Yu Y. et al. Prediction of shelf life and quality of fruits using data fusion and machine learning: a review // Trends in Food Science &amp; Technology. 2022. Vol. 125. P. 200–215.</mixed-citation><mixed-citation xml:lang="en">Wang J., Teng B., Yu Y. et al. Prediction of shelf life and quality of fruits using data fusion and machine learning: a review. Trends in Food Science &amp; Technology. 2022. vol. 125. pp. 200–215. doi: 10.1016/j.tifs.2022.05.008.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Kuchmenko T.A. Electronic nose based on nanoweights, expectation and reality // Pure and Applied Chemistry. 2017. Vol. 89. No. 10. P. 1587–1601. doi: 10.1515/pac-2016-1108</mixed-citation><mixed-citation xml:lang="en">Kuchmenko T.A. Electronic nose based on nanoweights, expectation and reality. Pure and Applied Chemistry. 2017. vol. 89. no. 10. pp. 1587–1601. doi: 10.1515/pac-2016-1108.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Kuchmenko T.A., Lvova L.B. A perspective on recent advances in piezoelectric chemical sensors for environmental monitoring and foodstuffs analysis // Chemosensors. 2019. Vol. 7. No. 3. Article 39. doi: 10.3390/chemosensors7030039</mixed-citation><mixed-citation xml:lang="en">Kuchmenko T.A., Lvova L.B. A perspective on recent advances in piezoelectric chemical sensors for environmental monitoring and foodstuffs analysis. Chemosensors. 2019. vol. 7. no. 3. article 39. doi: 10.3390/chemosensors7030039.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Ле-Дейген И.М., Фам Тхи Лан, Скуредина А.А., Марков П.О. и др. Механизм образования комплексов типа «гость-хозяин» между рутином и 2-гидроксипропил-бета-циклодекстрином // Вестник Московского университета. Сер. 2. Химия. 2025. Т. 66. № 1. С. 67–71.</mixed-citation><mixed-citation xml:lang="en">Le-Deigen I.M., Pham Thi Lan, Skuredina A.A., Markov P.O. et al. Mechanism of formation of "guest-host" complexes between rutin and 2-hydroxypropyl-beta-cyclodextrin. Bulletin of Moscow University. Series 2. Chemistry. 2025. vol. 66. no. 1. pp. 67–71. (in Russian).</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Краснюк И.И., Беляцкая А.В., Краснюк И.И., Степанова О.И. и др. Перспективы применения твердых дисперсий с поливинилпирролидоном в медицине и фармации // Фармация. 2016. № 6. С. 7–11.</mixed-citation><mixed-citation xml:lang="en">Krasnyuk I.I., Belyatskaya A.V., Krasnyuk I.I., Stepanova O.I. et al. Prospects for the use of solid dispersions with polyvinylpyrrolidone in medicine and pharmacy. Pharmacy. 2016. no. 6. pp. 7–11. (in Russian).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Balasooriya I.L., Chen J., Korale Gedara S.M., Han Y. et al. Applications of nano hydroxyapatite as adsorbents: a review // Nanomaterials. 2022. Vol. 12. No. 14. Article 2324. doi: 10.3390/nano12142324</mixed-citation><mixed-citation xml:lang="en">Balasooriya I.L., Chen J., Korale Gedara S.M., Han Y. et al. Applications of nano hydroxyapatite as adsorbents: a review. Nanomaterials. 2022. vol. 12. no. 14. article 2324. doi: 10.3390/nano12142324.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">López-de-Dicastillo C., López-Carballo G., Vázquez P. et al. Designing an oxygen scavenger multilayer system including volatile organic compound (VOC) adsorbents for potential use in food packaging // Polymers. 2023. Vol. 15. No. 19. Article 3899. doi: 10.3390/polym15193899</mixed-citation><mixed-citation xml:lang="en">López-de-Dicastillo C., López-Carballo G., Vázquez P. et al. Designing an oxygen scavenger multilayer system including volatile organic compound (VOC) adsorbents for potential use in food packaging. Polymers. 2023. vol. 15. no. 19. article 3899. doi: 10.3390/polym15193899.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Tarighat M.A., Behroozi A., Abdi G., Proestos C. Multivariate simultaneous determination of some PAHs in Persian Gulf oil-contaminated algae and water samples using miniaturized Triton X-100-mediated Fe₃O₄ nanoadsorbent and UV-Vis detection // Separations. 2023. Vol. 10. No. 6. Article 334. doi: 10.3390/separations10060334</mixed-citation><mixed-citation xml:lang="en">Tarighat M.A., Behroozi A., Abdi G., Proestos C. Multivariate simultaneous determination of some PAHs in Persian Gulf oil-contaminated algae and water samples using miniaturized Triton X-100-mediated Fe₃O₄ nanoadsorbent and UV-Vis detection. Separations. 2023. vol. 10. no. 6. article 334. doi: 10.3390/separations10060334.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Chen J., Zhu F. Characterization of physicochemical properties, fatty acids, flavor volatiles and phenolic compounds of avocado varieties // Food Chemistry. 2025. Vol. 482. Article 143533. doi: 10.1016/j.foodchem.2025.143533</mixed-citation><mixed-citation xml:lang="en">Chen J., Zhu F. Characterization of physicochemical properties, fatty acids, flavor volatiles and phenolic compounds of avocado varieties. Food Chemistry. 2025. vol. 482. article 143533. doi: 10.1016/j.foodchem.2025.143533.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Mahendran T., Brennan J.G., Hariharan G. Aroma volatiles components of 'Fuerte' avocado (Persea americana Mill.) stored under different modified atmospheric conditions // Journal of Essential Oil Research. 2019. Vol. 31. No. 1. P. 34–42. doi: 10.1080/10412905.2018.1495108</mixed-citation><mixed-citation xml:lang="en">Mahendran T., Brennan J.G., Hariharan G. Aroma volatiles components of 'Fuerte' avocado (Persea americana Mill.) stored under different modified atmospheric conditions. Journal of Essential Oil Research. 2019. vol. 31. no. 1. pp. 34–42. doi: 10.1080/10412905.2018.1495108.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Baietto M., Wilson A.D. Electronic-nose applications for fruit identification, ripeness, and quality grading // Sensors. 2015. Vol. 15. No. 1. P. 899–931. doi: 10.3390/s150100899</mixed-citation><mixed-citation xml:lang="en">Baietto M., Wilson A.D. Electronic-nose applications for fruit identification, ripeness, and quality grading. Sensors. 2015. vol. 15. no. 1. pp. 899–931. doi: 10.3390/s150100899.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Sanaeifar A., ZakiDizaji H., Jafari A., de la Guardia M. Early detection of contamination and defect in foodstuffs by electronic nose: a review // Trends in Analytical Chemistry. 2017. Vol. 97. P. 257–271. doi: 10.1016/j.trac.2017.09.014</mixed-citation><mixed-citation xml:lang="en">Sanaeifar A., ZakiDizaji H., Jafari A., de la Guardia M. Early detection of contamination and defect in foodstuffs by electronic nose: a review. Trends in Analytical Chemistry. 2017. vol. 97. pp. 257–271. doi: 10.1016/j.trac.2017.09.014.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Rodríguez P., Soto I., Villamizar J., Rebolledo A. Fatty acids and minerals as markers useful to classify Hass avocado quality: ripening patterns, internal disorders, and sensory quality // Horticulturae. 2023. Vol. 9. No. 4. Article 460. doi: 10.3390/horticulturae9040460</mixed-citation><mixed-citation xml:lang="en">Rodríguez P., Soto I., Villamizar J., Rebolledo A. Fatty acids and minerals as markers useful to classify Hass avocado quality: ripening patterns, internal disorders, and sensory quality. Horticulturae. 2023. vol. 9. no. 4. article 460. doi: 10.3390/horticulturae9040460.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Hu J., Liu D., Zhu Y., Chen Z. et al. Establishing a maturity prediction model for respiratory fruits via ethylene-regulated physiology: a case investigation of avocado // Food Bioscience. 2024. Vol. 59. Article 104097. doi: 10.1016/j.fbio.2024.104097</mixed-citation><mixed-citation xml:lang="en">Hu J., Liu D., Zhu Y., Chen Z. et al. Establishing a maturity prediction model for respiratory fruits via ethylene-regulated physiology: a case investigation of avocado. Food Bioscience. 2024. vol. 59. article 104097. doi: 10.1016/j.fbio.2024.104097.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Pateraki A., Pollo B.J., Augusto F., Psillakis E. Vacuum-assisted headspace solid-phase microextraction for volatile profiling of avocado puree: application to post-harvest ripening // Journal of Chromatography Open. 2025. Vol. 8. Article 100274. doi: 10.1016/j.jcoa.2025.100274</mixed-citation><mixed-citation xml:lang="en">Pateraki A., Pollo B.J., Augusto F., Psillakis E. Vacuum-assisted headspace solid-phase microextraction for volatile profiling of avocado puree: application to post-harvest ripening. Journal of Chromatography Open. 2025. vol. 8. article 100274. doi: 10.1016/j.jcoa.2025.100274.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Betancourt-Arango E., Arango-Muñoz Y., Osorio-Tobón J.F. et al. Volatilomic analysis in peel, pulp and seed of Hass avocado (Persea americana Mill.) by gas chromatography with mass spectrometry // Food Science &amp; Nutrition. 2025. Vol. 13. Article e70489. doi: 10.1002/fsn3.70489</mixed-citation><mixed-citation xml:lang="en">Betancourt-Arango E., Arango-Muñoz Y., Osorio-Tobón J.F. et al. Volatilomic analysis in peel, pulp and seed of Hass avocado (Persea americana Mill.) by gas chromatography with mass spectrometry. Food Science &amp; Nutrition. 2025. vol. 13. article e70489. doi: 10.1002/fsn3.70489.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Yahia E.M., Ramos-Aguilar A.L., Ornelas-Paz J. et al. Identification and characterization of phytochemicals in avocado (Persea americana Mill, var. Hass) fruit at different maturation and ripening stages // Journal of Food Quality. 2025. Vol. 2025. Article 7181926. doi: 10.1155/jfq/7181926</mixed-citation><mixed-citation xml:lang="en">Yahia E.M., Ramos-Aguilar A.L., Ornelas-Paz J. et al. Identification and characterization of phytochemicals in avocado (Persea americana Mill, var. Hass) fruit at different maturation and ripening stages. Journal of Food Quality. 2025. vol. 2025. article 7181926. doi: 10.1155/jfq/7181926</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru"></mixed-citation><mixed-citation xml:lang="en"></mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
