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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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">meat</journal-id><journal-title-group><journal-title xml:lang="en">Theory and practice of meat processing</journal-title><trans-title-group xml:lang="ru"><trans-title>Теория и практика переработки мяса</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2414-438X</issn><issn pub-type="epub">2414-441X</issn><publisher><publisher-name>ФГБНУ «Федеральный научный центр пищевых систем им. В.М. Горбатова» РАН</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21323/2414-438X-2023-8-2-152-161</article-id><article-id custom-type="elpub" pub-id-type="custom">meat-267</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Optical-spectroscopic analysis of colorimetric changes in meat during its storage</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7188-2237</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Shkabrou</surname><given-names>A. U.</given-names></name></name-alternatives><bio xml:lang="en"><p>Aleh U. Shkabrou, Candidate of Technical Sciences, Docent, Dean of the Chemico-Technological Faculty</p><p>3, Shmidt Avenue, Mogilev, 212027</p><p>Tel.:+375–292–44–18–89</p></bio><email xlink:type="simple">olegshk@tut.by</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4298-0927</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Chernukha</surname><given-names>I. M.</given-names></name></name-alternatives><bio xml:lang="en"><p>Irina M. Chernukha, Doctor of Technical Sciences, Professor, Academician of RAS, Principal Researcher</p><p>26, Talalikhina str., Moscow, 109316</p><p>Tel. +7–495–676–95–11 (109)</p></bio><email xlink:type="simple">imcher@inbox.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/0000-0002-1537-8482</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Raznichenka</surname><given-names>V. D.</given-names></name></name-alternatives><bio xml:lang="en"><p>Victar D.  Raznichenka, Postgraduate Student</p><p>3, Shmidt Avenue, Mogilev, 212027</p><p>Tel.: +375–259–06–11–53</p></bio><email xlink:type="simple">rotcivetec@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/0009-0002-7980-9103</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Lazovikava</surname><given-names>L. U.</given-names></name></name-alternatives><bio xml:lang="en"><p>Lyubou U. Lazovikava, Candidate of Technical Sciences, Docent, Docent, Department of Technology of Public Catering and Meat Products</p><p>3, Shmidt Avenue, Mogilev, 212027</p><p> Tel.:+375–295–45–74–27</p></bio><email xlink:type="simple">lyu-azarova@yandex.by</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Belarusian State University of Food and Chemical Technologies</institution><country>Belarus</country></aff><aff xml:lang="en" id="aff-2"><institution>V. M. Gorbatov Federal Research Center for Food Systems</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>08</day><month>07</month><year>2023</year></pub-date><volume>8</volume><issue>2</issue><fpage>152</fpage><lpage>161</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Shkabrou A.U., Chernukha I.M., Raznichenka V.D., Lazovikava L.U., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Shkabrou A.U., Chernukha I.M., Raznichenka V.D., Lazovikava L.U.</copyright-holder><copyright-holder xml:lang="en">Shkabrou A.U., Chernukha I.M., Raznichenka V.D., Lazovikava L.U.</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.meatjournal.ru/jour/article/view/267">https://www.meatjournal.ru/jour/article/view/267</self-uri><abstract><p>The colorimetric and spectral characteristics of meat and their changes during the period of storage were researched. It was shown that spectral methods of analysis can potentially be used to assess the properties of meat during its storage in order to define the degree of autolytic changes which occur in the meat along with its histological-structural and proteomic changes. The work studies the quality characteristics of meat on the base of an array of its parameters and a correlation between them. Considerable attention is paid to the determination of colorimetric and spectral characteristics of autolytic and other changes in meat during its storage. The possibility of using the method of optical spectrometry for assessing the quality of meat is considered. The data obtained by processing the absorption spectra of aqueous extracts from muscle tissue confirm the promising prospects of using this method in a comprehensive study of the raw meat materials properties. The work proves possibility of classifying raw meat according to the degree of its autolysis for further assessment of its colorimetric characteristics, the value of extinction coefficients and the relative area of peaks at the wavelength λ415, λ525, λ542, λ555, and λ582.</p></abstract><kwd-group xml:lang="en"><kwd>autolysis of meat</kwd><kwd>colorimetric characteristics</kwd><kwd>spectrophotometric analysis</kwd><kwd>fractional composition of proteins</kwd><kwd>microstructure of meat</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">Tomasevic, I.B. (2018). Computer vision system for color measurements of meat and meat products: A review. Theory and Practice of Meat Processing, 4(4), 4–15. https://doi.org/10.21323/2414-438X-2018-3-4-4-15 (In Russian)</mixed-citation><mixed-citation xml:lang="en">Tomasevic, I.B. (2018). 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