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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-2025-10-3-237-246</article-id><article-id custom-type="elpub" pub-id-type="custom">meat-492</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>Development of a spectrophotometric approach for assessing pork quality during storage</article-title><trans-title-group xml:lang="ru"><trans-title>Development of a spectrophotometric approach for assessing pork quality during storage</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1537-8482</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Raznichenka</surname><given-names>V. D.</given-names></name><name name-style="western" xml:lang="en"><surname>Raznichenka</surname><given-names>V. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Viktar D. Raznichenka, Engineer-Technologist, Department of the Chief Technologist</p><p>18, Tutarinov str., Slutsk, Minsk region, 223610, Republic of Belarus</p></bio><bio xml:lang="en"><p>Viktar D. Raznichenka, Engineer-Technologist, Department of the Chief Technologist</p><p>18, Tutarinov str., Slutsk, Minsk region, 223610, Republic of Belarus</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/0000-0002-7188-2237</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Shkabrou</surname><given-names>A. U.</given-names></name><name name-style="western" xml:lang="en"><surname>Shkabrou</surname><given-names>A. U.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Aleh U. Shkabrou, Candidate of Technical Sciences, Docent, Head of the Department of Meat and Dairy Products Technologies</p><p>15, Kirov str., Minsk, 220030, Republic of Belarus</p></bio><bio xml:lang="en"><p>Aleh U. Shkabrou, Candidate of Technical Sciences, Docent, Head of the Department of Meat and Dairy Products Technologies</p><p>15, Kirov str., Minsk, 220030, Republic of Belarus</p></bio><email xlink:type="simple">olegshk@tut.by</email><xref ref-type="aff" rid="aff-2"/></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="eastern" xml:lang="ru"><surname>Lazovikava</surname><given-names>L. U.</given-names></name><name name-style="western" xml:lang="en"><surname>Lazovikava</surname><given-names>L. U.</given-names></name></name-alternatives><bio xml:lang="ru"><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, Republic of Belarus</p></bio><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, Republic of Belarus</p></bio><email xlink:type="simple">lyu-azarova@yandex.by</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Slutsk Meat Processing Plant JSC; Belarusian State University of Food and Chemical Technologies</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>Slutsk Meat Processing Plant JSC; Belarusian State University of Food and Chemical Technologies</institution><country>Belarus</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Ministry of Agriculture and Food of the Republic of Belarus</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>Ministry of Agriculture and Food of the Republic of Belarus</institution><country>Belarus</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Belarusian State University of Food and Chemical Technologies</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>Belarusian State University of Food and Chemical Technologies</institution><country>Belarus</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>05</day><month>10</month><year>2025</year></pub-date><volume>10</volume><issue>3</issue><fpage>237</fpage><lpage>246</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Raznichenka V.D., Shkabrou A.U., Lazovikava L.U., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Raznichenka V.D., Shkabrou A.U., Lazovikava L.U.</copyright-holder><copyright-holder xml:lang="en">Raznichenka V.D., Shkabrou A.U., 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/492">https://www.meatjournal.ru/jour/article/view/492</self-uri><abstract><p>The annual growth of meat production, accompanied by significant quality deterioration at all stages of the production chain, drives the development of fast and highly accurate control methods. The work is devoted to the adaptation of the spectrophotometric method for assessing pork quality based on the analysis of muscle tissue extracts. The purpose of the work is to generalize and systematize knowledge about spectrophotometric analysis and the application of this method for pork quality control during storage. The work provides a comparative spectrophotometric assessment of various methods for extracting protein and non-protein components of pork muscle tissue. Aqueous, buffer, NaCl and KCl extracts of muscle tissue were studied, their absorption spectra in the wavelength range of 315–1000 nm were analyzed. It was found that KCl and NaCl extraction ensured the maximum degree of myofibrillar and sarcoplasmic protein extraction, and also formed the most pronounced and stable spectral peaks. Particular attention was paid to the analysis of KCl extracts demonstrating the best resolution and clarity of spectral curves, which is important for a detailed study of changes in muscle tissue properties during storage. During meat storage, statistically significant changes in the intensity and geometry of key spectral peaks (λ325–335, λ 355, λ410–415, λ545, λ580, λ610–620, λ635–650) were revealed, which were simultaneous with histostructural transformations of muscle tissue. A high correlation was established between the change in the area of minor peaks and the dynamics of muscle fiber diameter, which allows using spectral characteristics as objective indicators for the degree of changes in muscle tissue at the cellular and molecular levels during storage. The results obtained confirm the feasibility of using spectrophotometric analysis of KCl extracts for an objective assessment of meat quality and monitoring its changes at various stages of storage.</p></abstract><trans-abstract xml:lang="ru"><p>The annual growth of meat production, accompanied by significant quality deterioration at all stages of the production chain, drives the development of fast and highly accurate control methods. The work is devoted to the adaptation of the spectrophotometric method for assessing pork quality based on the analysis of muscle tissue extracts. The purpose of the work is to generalize and systematize knowledge about spectrophotometric analysis and the application of this method for pork quality control during storage. The work provides a comparative spectrophotometric assessment of various methods for extracting protein and non-protein components of pork muscle tissue. Aqueous, buffer, NaCl and KCl extracts of muscle tissue were studied, their absorption spectra in the wavelength range of 315–1000 nm were analyzed. It was found that KCl and NaCl extraction ensured the maximum degree of myofibrillar and sarcoplasmic protein extraction, and also formed the most pronounced and stable spectral peaks. Particular attention was paid to the analysis of KCl extracts demonstrating the best resolution and clarity of spectral curves, which is important for a detailed study of changes in muscle tissue properties during storage. During meat storage, statistically significant changes in the intensity and geometry of key spectral peaks (λ325–335, λ 355, λ410–415, λ545, λ580, λ610–620, λ635–650) were revealed, which were simultaneous with histostructural transformations of muscle tissue. A high correlation was established between the change in the area of minor peaks and the dynamics of muscle fiber diameter, which allows using spectral characteristics as objective indicators for the degree of changes in muscle tissue at the cellular and molecular levels during storage. The results obtained confirm the feasibility of using spectrophotometric analysis of KCl extracts for an objective assessment of meat quality and monitoring its changes at various stages of storage.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>pork</kwd><kwd>meat quality control</kwd><kwd>spectrophotometry</kwd><kwd>extractants</kwd><kwd>absorption spectra</kwd></kwd-group><kwd-group xml:lang="en"><kwd>pork</kwd><kwd>meat quality control</kwd><kwd>spectrophotometry</kwd><kwd>extractants</kwd><kwd>absorption spectra</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">Ritchie, H., Rosado, P., Roser, M. (2019). Meat and Dairy Production. Retrieved from: https://ourworldindata.org/meat-production Accessed 14 April 2025</mixed-citation><mixed-citation xml:lang="en">Ritchie, H., Rosado, P., Roser, M. (2019). Meat and Dairy Production. Retrieved from: https://ourworldindata.org/meat-production Accessed 14 April 2025</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">FAO. (2024). Meat market review. Emerging trends and outlook in 2024. Rome, FAO, 2024.</mixed-citation><mixed-citation xml:lang="en">FAO. (2024). Meat market review. Emerging trends and outlook in 2024. Rome, FAO, 2024.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">FAO. (2022). Voluntary code of conduct for food loss and waste reduction. Rome, FAO, 2022. https://doi.org/10.4060/cb9433en</mixed-citation><mixed-citation xml:lang="en">FAO. (2022). Voluntary code of conduct for food loss and waste reduction. Rome, FAO, 2022. https://doi.org/10.4060/cb9433en</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Aldamatov, N. E., Bredikhin, S. A. (2024). Production of raw materials of animal origin in the world and in Russia. Scientific Journal of the Far Eastern State Technical Fisheries University, 70(4), 8–19. https://doi.org/10.48612/dalrybvtuz/2024-70-01 (In Russian)</mixed-citation><mixed-citation xml:lang="en">Aldamatov, N. E., Bredikhin, S. A. (2024). Production of raw materials of animal origin in the world and in Russia. Scientific Journal of the Far Eastern State Technical Fisheries University, 70(4), 8–19. https://doi.org/10.48612/dalrybvtuz/2024-70-01 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Yushina, Yu. K., Kulikovskii, A. V. Stanovova, I.A. (2016). Unification control methods of the qualitative characteristics of meat and meat products. Vsyo o Myase, 4, 18–21. (In Russian)</mixed-citation><mixed-citation xml:lang="en">Yushina, Yu. K., Kulikovskii, A. V. Stanovova, I.A. (2016). Unification control methods of the qualitative characteristics of meat and meat products. Vsyo o Myase, 4, 18–21. (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Anagnostou, G., Ferragina, A., Crofton, E. C., Frias Celayeta, J. M., Hamill, R. M. (2025). The development of optical sensing techniques as digital tools to predict the sensory quality of red meat: A review. Applied Sciences, 15(4), Article 1719. https://doi.org/10.3390/app15041719</mixed-citation><mixed-citation xml:lang="en">Anagnostou, G., Ferragina, A., Crofton, E. C., Frias Celayeta, J. M., Hamill, R. M. (2025). The development of optical sensing techniques as digital tools to predict the sensory quality of red meat: A review. Applied Sciences, 15(4), Article 1719. https://doi.org/10.3390/app15041719</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Elangovan, P., Dhurairajan, V., Nath, M. K., Yogarajah, P., Condell, J. (2024). A novel approach for meat quality assessment using an ensemble of compact convolutional neural networks. Applied Sciences, 14(14), Article 5979. https://doi.org/10.3390/app14145979</mixed-citation><mixed-citation xml:lang="en">Elangovan, P., Dhurairajan, V., Nath, M. K., Yogarajah, P., Condell, J. (2024). A novel approach for meat quality assessment using an ensemble of compact convolutional neural networks. Applied Sciences, 14(14), Article 5979. https://doi.org/10.3390/app14145979</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Shi, Y., Wang, X., Borhan, M. S., Young, J., Newman, D., Berg, E. et al. (2021). A review on meat quality evaluation methods based on non-destructive computer vision and artificial intelligence technologies. Food Science of Animal Resources, 41(4), 563–588. https://doi.org/10.5851/kosfa.2021.e25</mixed-citation><mixed-citation xml:lang="en">Shi, Y., Wang, X., Borhan, M. S., Young, J., Newman, D., Berg, E. et al. (2021). A review on meat quality evaluation methods based on non-destructive computer vision and artificial intelligence technologies. Food Science of Animal Resources, 41(4), 563–588. https://doi.org/10.5851/kosfa.2021.e25</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Chen, J., Zhang, J., Wang, N., Xiao, B., Sun, X., Li, J. et al. (2024). Critical review and recent advances of emerging realtime and non-destructive strategies for meat spoilage monitoring. Food Chemistry, 445, Article 138755. https://doi.org/10.1016/j.foodchem.2024.138755</mixed-citation><mixed-citation xml:lang="en">Chen, J., Zhang, J., Wang, N., Xiao, B., Sun, X., Li, J. et al. (2024). Critical review and recent advances of emerging realtime and non-destructive strategies for meat spoilage monitoring. Food Chemistry, 445, Article 138755. https://doi.org/10.1016/j.foodchem.2024.138755</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Jia, W., van Ruth, S., Scollan, N., Koidis, A. (2022). Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends. Current Research in Food Science, 5, 1017–1027. https://doi.org/10.1016/j.crfs.2022.05.016</mixed-citation><mixed-citation xml:lang="en">Jia, W., van Ruth, S., Scollan, N., Koidis, A. (2022). Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends. Current Research in Food Science, 5, 1017–1027. https://doi.org/10.1016/j.crfs.2022.05.016</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Qu, C., Li, Y., Du, S., Geng, Y., Su, M., Liu, H. (2022). Raman spectroscopy for rapid fingerprint analysis of meat quality and security: Principles, progress and prospects. Food Research International, 161, Article 111805. https://doi.org/10.1016/j.foodres.2022.111805</mixed-citation><mixed-citation xml:lang="en">Qu, C., Li, Y., Du, S., Geng, Y., Su, M., Liu, H. (2022). Raman spectroscopy for rapid fingerprint analysis of meat quality and security: Principles, progress and prospects. Food Research International, 161, Article 111805. https://doi.org/10.1016/j.foodres.2022.111805</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Power, A. C., Chapman, J., Chandra, S., Cozzolino, D. (2019). Ultraviolet-visible spectroscopy for food quality analysis. Chapter in a book: Evaluation Technologies for Food Quality. Duxford, United Kingdom: Woodhead Publishing, 2019. https://doi.org/10.1016/B978-0-12-814217-2.00006-8</mixed-citation><mixed-citation xml:lang="en">Power, A. C., Chapman, J., Chandra, S., Cozzolino, D. (2019). Ultraviolet-visible spectroscopy for food quality analysis. Chapter in a book: Evaluation Technologies for Food Quality. Duxford, United Kingdom: Woodhead Publishing, 2019. https://doi.org/10.1016/B978-0-12-814217-2.00006-8</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Peyvasteh, M., Popov, A., Bykov, A., Meglinski, I. (2020). Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis. Journal of Physics Communications, 4(9), Article 095011. https://doi.org/10.1088/2399-6528/abb322</mixed-citation><mixed-citation xml:lang="en">Peyvasteh, M., Popov, A., Bykov, A., Meglinski, I. (2020). Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis. Journal of Physics Communications, 4(9), Article 095011. https://doi.org/10.1088/2399-6528/abb322</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Ayaz, H., Ahmad, M., Mazzara, M., Sohaib, A. (2020). Hyperspectral imaging for minced meat classification using nonlinear deep features. Applied Sciences, 10(21), Article 7783. https://doi.org/10.3390/app10217783</mixed-citation><mixed-citation xml:lang="en">Ayaz, H., Ahmad, M., Mazzara, M., Sohaib, A. (2020). Hyperspectral imaging for minced meat classification using nonlinear deep features. Applied Sciences, 10(21), Article 7783. https://doi.org/10.3390/app10217783</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, W., Peng, Y. (2018). Hyperspectral imaging for assessing quality and safety of meat. Chapter in a book: Hyperspectral Imaging in Agriculture, Food and Environment. IntechOpen, 2018. https://doi.org/10.5772/intechopen.74371</mixed-citation><mixed-citation xml:lang="en">Wang, W., Peng, Y. (2018). Hyperspectral imaging for assessing quality and safety of meat. Chapter in a book: Hyperspectral Imaging in Agriculture, Food and Environment. IntechOpen, 2018. https://doi.org/10.5772/intechopen.74371</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Pchelkina, V. A., Chernukha, I. M., Fedulova, L. V., Ilyin, N. A. (2022). Raman spectroscopic techniques for meat analysis: A review. Theory and Practice of Meat Processing, 7(2), 97–111. https://doi.org/10.21323/2414-438X-2022-7-2-97-111</mixed-citation><mixed-citation xml:lang="en">Pchelkina, V. A., Chernukha, I. M., Fedulova, L. V., Ilyin, N. A. (2022). Raman spectroscopic techniques for meat analysis: A review. Theory and Practice of Meat Processing, 7(2), 97–111. https://doi.org/10.21323/2414-438X-2022-7-2-97-111</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Shoko, P. T., Blanch, E. W., Torley, P. J., Pillidge, C. (2024). Raman spectroscopy for the differentiation of muscles and tissues in meat using chicken as a model system. Journal of Raman Spectroscopy, 55(11), 1146–1155. https://doi.org/10.1002/jrs.6725</mixed-citation><mixed-citation xml:lang="en">Shoko, P. T., Blanch, E. W., Torley, P. J., Pillidge, C. (2024). Raman spectroscopy for the differentiation of muscles and tissues in meat using chicken as a model system. Journal of Raman Spectroscopy, 55(11), 1146–1155. https://doi.org/10.1002/jrs.6725</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Nechiporenko, A. P., Orehova, S. M., Plotnikova, L. V., Plotnikov, P. P. (2019). Diffuse-reflection electron spectroscopy in the study of muscle tissue of wild and domestic animals. Proceedings of Universities. Applied Chemistry and Biotechnology, 9(3), 489–499. https://doi.org/10.21285/2227-2925-2019-9-3-489-499 (In Russian)</mixed-citation><mixed-citation xml:lang="en">Nechiporenko, A. P., Orehova, S. M., Plotnikova, L. V., Plotnikov, P. P. (2019). Diffuse-reflection electron spectroscopy in the study of muscle tissue of wild and domestic animals. Proceedings of Universities. Applied Chemistry and Biotechnology, 9(3), 489–499. https://doi.org/10.21285/2227-2925-2019-9-3-489-499 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Wu, X., Liang, X., Wang, Y., Wu, B., Sun, J. (2022). Non-destructive techniques for the analysis and evaluation of meat quality and safety: A review. Foods, 11(22), Article 3713. https://doi.org/10.3390/foods11223713</mixed-citation><mixed-citation xml:lang="en">Wu, X., Liang, X., Wang, Y., Wu, B., Sun, J. (2022). Non-destructive techniques for the analysis and evaluation of meat quality and safety: A review. Foods, 11(22), Article 3713. https://doi.org/10.3390/foods11223713</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Tang, X., Xie, L., Liu, S., Chen, Z., Rao, L., Chen, L. et al. (2022). Extensive evaluation of prediction performance for 15 pork quality traits using large scale VIS/NIRS data. Meat Science, 192, Article 108902. https://doi.org/10.1016/j.meatsci.2022.108902</mixed-citation><mixed-citation xml:lang="en">Tang, X., Xie, L., Liu, S., Chen, Z., Rao, L., Chen, L. et al. (2022). Extensive evaluation of prediction performance for 15 pork quality traits using large scale VIS/NIRS data. Meat Science, 192, Article 108902. https://doi.org/10.1016/j.meatsci.2022.108902</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Leder, P. J. S., Porcu, O. M. (2018). The importance of UV–VIS spectroscopy: Application in food products characterization. Scholarly Journal of Food Nutrition, 1(3), 59–62. https://doi.org/10.32474/SJFN.2018.01.000111</mixed-citation><mixed-citation xml:lang="en">Leder, P. J. S., Porcu, O. M. (2018). The importance of UV–VIS spectroscopy: Application in food products characterization. Scholarly Journal of Food Nutrition, 1(3), 59–62. https://doi.org/10.32474/SJFN.2018.01.000111</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, D., Luan, Y., Wang, X., Jia, W. (2024). Progress in non-destructive analysis of meat quality by near-infrared spectroscopy. Meat Research, 38(5), 61–70. https://doi.org/10.7506/rlyj1001-8123-20240513-118</mixed-citation><mixed-citation xml:lang="en">Wang, D., Luan, Y., Wang, X., Jia, W. (2024). Progress in non-destructive analysis of meat quality by near-infrared spectroscopy. Meat Research, 38(5), 61–70. https://doi.org/10.7506/rlyj1001-8123-20240513-118</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng, X., Chen, L., Li, X., Zhang, D. (2023). Non-destructive detection of meat quality based on multiple spectral dimension reduction methods by near-infrared spectroscopy. Foods, 12(2), Article 300. https://doi.org/10.3390/foods12020300</mixed-citation><mixed-citation xml:lang="en">Zheng, X., Chen, L., Li, X., Zhang, D. (2023). Non-destructive detection of meat quality based on multiple spectral dimension reduction methods by near-infrared spectroscopy. Foods, 12(2), Article 300. https://doi.org/10.3390/foods12020300</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Cheng, L.J., Liu, G.S., He, J.G. (2021). Development of a novel quantitative function between spectral value and metmyoglobin content in Tan mutton. Food Chemistry, 342, Article 128351. https://doi.org/10.1016/j.foodchem.2020.128351</mixed-citation><mixed-citation xml:lang="en">Cheng, L.J., Liu, G.S., He, J.G. (2021). Development of a novel quantitative function between spectral value and metmyoglobin content in Tan mutton. Food Chemistry, 342, Article 128351. https://doi.org/10.1016/j.foodchem.2020.128351</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Barra, I., Briak, H., Kebede, F. (2022). The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils. Vibrational Spectroscopy, 121, Article 103409. https://doi.org/10.1016/j.vibspec.2022.103409</mixed-citation><mixed-citation xml:lang="en">Barra, I., Briak, H., Kebede, F. (2022). The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils. Vibrational Spectroscopy, 121, Article 103409. https://doi.org/10.1016/j.vibspec.2022.103409</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Tsagkaris, A. S., Bechynska, K., Ntakoulas, D. D., Pasias, I. N., Weller, P., Proestos, C. et al. (2023). Investigating the impact of spectral data pre-processing to assess honey botanical origin through Fourier transform infrared spectroscopy (FTIR). Journal of Food Composition and Analysis, 119, Article 105276. https://doi.org/10.1016/j.jfca.2023.105276</mixed-citation><mixed-citation xml:lang="en">Tsagkaris, A. S., Bechynska, K., Ntakoulas, D. D., Pasias, I. N., Weller, P., Proestos, C. et al. (2023). Investigating the impact of spectral data pre-processing to assess honey botanical origin through Fourier transform infrared spectroscopy (FTIR). Journal of Food Composition and Analysis, 119, Article 105276. https://doi.org/10.1016/j.jfca.2023.105276</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Lavrinenko, I. A., Vashanov, G. A., Ruban, M. K. (2013). Analysis of the contribution of chromophores in side groups of amino acids to the absorption spectrum of hemoglobin. Journal of Applied Spectroscopy, 80(6), 899–904. https://doi.org/10.1007/s10812-014-9862-4</mixed-citation><mixed-citation xml:lang="en">Lavrinenko, I. A., Vashanov, G. A., Ruban, M. K. (2013). Analysis of the contribution of chromophores in side groups of amino acids to the absorption spectrum of hemoglobin. Journal of Applied Spectroscopy, 80(6), 899–904. https://doi.org/10.1007/s10812-014-9862-4</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Feng, Y.-H., Zhang, S. -S., Sun, B.-Z., Xie, P., Wen, K.-X., Xu, C.-C. (2020). Changes in physical meat traits, protein solubility, and the microstructure of different beef muscles during post-mortem aging. Foods, 9(6), Article 806. https://doi.org/10.3390/foods9060806</mixed-citation><mixed-citation xml:lang="en">Feng, Y.-H., Zhang, S. -S., Sun, B.-Z., Xie, P., Wen, K.-X., Xu, C.-C. (2020). Changes in physical meat traits, protein solubility, and the microstructure of different beef muscles during post-mortem aging. Foods, 9(6), Article 806. https://doi.org/10.3390/foods9060806</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Qiu, Z., Shi, Y., Zheng, Y., Shi, W., Zhang, L., Yin, M. et al. (2025). Comparison of in vitro digestive characteristics of proteins from different sources in simulated elderly gastrointestinal conditions. Food Chemistry, 463(3), Article 141299. https://doi.org/10.1016/j.foodchem.2024.141299</mixed-citation><mixed-citation xml:lang="en">Qiu, Z., Shi, Y., Zheng, Y., Shi, W., Zhang, L., Yin, M. et al. (2025). Comparison of in vitro digestive characteristics of proteins from different sources in simulated elderly gastrointestinal conditions. Food Chemistry, 463(3), Article 141299. https://doi.org/10.1016/j.foodchem.2024.141299</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Chen, K., Zhang, Q., Yang, S., Zhang, S., Chen, G. (2024). Comparative study on the impact of different extraction technologies on structural characteristics, physicochemical properties, and biological activities of polysaccharides from seedless chestnut rose (Rosa sterilis) fruit. Foods, 13(5), Article 772. https://doi.org/10.3390/foods13050772</mixed-citation><mixed-citation xml:lang="en">Chen, K., Zhang, Q., Yang, S., Zhang, S., Chen, G. (2024). Comparative study on the impact of different extraction technologies on structural characteristics, physicochemical properties, and biological activities of polysaccharides from seedless chestnut rose (Rosa sterilis) fruit. Foods, 13(5), Article 772. https://doi.org/10.3390/foods13050772</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Al-Behadili, W. K. H., Jawad, Y. M., Whaab, W. S. A. (2023). Effect of solvent on intensity of absorption and fluorescence of Eosin Y Dye and spectral properties of Eosin Y Dye. Journal of Medicinal and Chemical Sciences, 6(2), 322–334. https://doi.org/10.26655/JMCHEMSCI.2023.2.13</mixed-citation><mixed-citation xml:lang="en">Al-Behadili, W. K. H., Jawad, Y. M., Whaab, W. S. A. (2023). Effect of solvent on intensity of absorption and fluorescence of Eosin Y Dye and spectral properties of Eosin Y Dye. Journal of Medicinal and Chemical Sciences, 6(2), 322–334. https://doi.org/10.26655/JMCHEMSCI.2023.2.13</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Zaukuu, J.-L. Z., Gillay, Z., Kovacs, Z. (2021). Standardized extraction techniques for meat analysis with the electronic tongue: A case study of poultry and red meat adulteration. Sensors, 21(2), Article 481. https://doi.org/10.3390/s21020481</mixed-citation><mixed-citation xml:lang="en">Zaukuu, J.-L. Z., Gillay, Z., Kovacs, Z. (2021). Standardized extraction techniques for meat analysis with the electronic tongue: A case study of poultry and red meat adulteration. Sensors, 21(2), Article 481. https://doi.org/10.3390/s21020481</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Nechiporenko, A. P., Orekhova, S. M., Sitnikova, V. E., Gromova, D. A., Bushueva, A. V., Uspenskaya, M. V. (2021). Fourier spectroscopy of sarcoplasmic, myofibrillar, and connective tissue proteins of pork muscle tissue. Processes and Food Production Equipment, 1, 3–14. https://doi.org/10.17586/2310-1164-2021-14-1-3-14 (In Russian)</mixed-citation><mixed-citation xml:lang="en">Nechiporenko, A. P., Orekhova, S. M., Sitnikova, V. E., Gromova, D. A., Bushueva, A. V., Uspenskaya, M. V. (2021). Fourier spectroscopy of sarcoplasmic, myofibrillar, and connective tissue proteins of pork muscle tissue. Processes and Food Production Equipment, 1, 3–14. https://doi.org/10.17586/2310-1164-2021-14-1-3-14 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Haque, Md. A., Timilsena, Y. P., Adhikari, B. (2016). Food proteins, structure, and function. Chapter in a book: Reference Module in Food Science. Elsevier, 2016. https://doi.org/10.1016/B978-0-08-100596-5.03057-2</mixed-citation><mixed-citation xml:lang="en">Haque, Md. A., Timilsena, Y. P., Adhikari, B. (2016). Food proteins, structure, and function. Chapter in a book: Reference Module in Food Science. Elsevier, 2016. https://doi.org/10.1016/B978-0-08-100596-5.03057-2</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Khismatullina, Z.N. (2013). Methods for fractionating a protein mixture into individual proteins. Herald of Technological University, 16(21), 212–217. (In Russian)</mixed-citation><mixed-citation xml:lang="en">Khismatullina, Z.N. (2013). Methods for fractionating a protein mixture into individual proteins. Herald of Technological University, 16(21), 212–217. (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Perry, S. V., Corsi, A. (1958). Extraction of proteins other than myosin from the isolated rabbit myofibril. Biochemical Journal, 68(1), 5–12. https://doi.org/10.1042/bj0680005</mixed-citation><mixed-citation xml:lang="en">Perry, S. V., Corsi, A. (1958). Extraction of proteins other than myosin from the isolated rabbit myofibril. Biochemical Journal, 68(1), 5–12. https://doi.org/10.1042/bj0680005</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Jiao, X., Li, X., Zhang, N., Yan, B., Huang, J., Zhao, J. (2024). Solubilization of fish myofibrillar proteins in NaCl and KCl solutions: A DIA-based proteomics analysis. Food Chemistry, 445, Article 138662. https://doi.org/10.1016/j.foodchem.2024.138662</mixed-citation><mixed-citation xml:lang="en">Jiao, X., Li, X., Zhang, N., Yan, B., Huang, J., Zhao, J. (2024). Solubilization of fish myofibrillar proteins in NaCl and KCl solutions: A DIA-based proteomics analysis. Food Chemistry, 445, Article 138662. https://doi.org/10.1016/j.foodchem.2024.138662</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Vasilevskaya, E. R., Aryuzina, M. A., Vetrova, E. S. (2021). Saline extraction as a method of obtaining a mixture of biologically active com pounds of protein nature from a porcine pancreas. Food Systems, 4(2), 97–105. https://doi.org/10.21323/2618-9771-2020-4-2-97-105 (In Russian)</mixed-citation><mixed-citation xml:lang="en">Vasilevskaya, E. R., Aryuzina, M. A., Vetrova, E. S. (2021). Saline extraction as a method of obtaining a mixture of biologically active com pounds of protein nature from a porcine pancreas. Food Systems, 4(2), 97–105. https://doi.org/10.21323/2618-9771-2020-4-2-97-105 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Munasinghe, D. M. S., Sakai, T. (2004). Sodium chloride as a preferred protein extractant for pork lean meat. Meat Science, 67(4), 697–703. https://doi.org/10.1016/j.meatsci.2004.02.001</mixed-citation><mixed-citation xml:lang="en">Munasinghe, D. M. S., Sakai, T. (2004). Sodium chloride as a preferred protein extractant for pork lean meat. Meat Science, 67(4), 697–703. https://doi.org/10.1016/j.meatsci.2004.02.001</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Rinnan, A., Norgaard, L., van den Berg, F., Thygesen, J., Bro, R., Engelsen, S. B. (2009). Data pre-processing. Chapter in a book: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis. Academic Press, 2009. https://doi.org/10.1016/B978-0-12-374136-3.00002-X</mixed-citation><mixed-citation xml:lang="en">Rinnan, A., Norgaard, L., van den Berg, F., Thygesen, J., Bro, R., Engelsen, S. B. (2009). Data pre-processing. Chapter in a book: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis. Academic Press, 2009. https://doi.org/10.1016/B978-0-12-374136-3.00002-X</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Czarnecki, M. A. (2015). Resolution enhancement in second-derivative spectra. Applied Spectroscopy, 69(1), 67–74. https://doi.org/10.1366/14-07568</mixed-citation><mixed-citation xml:lang="en">Czarnecki, M. A. (2015). Resolution enhancement in second-derivative spectra. Applied Spectroscopy, 69(1), 67–74. https://doi.org/10.1366/14-07568</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Ramanathan, R., Suman, S. P., Faustman, C. (2020). Biomolecular interactions governing fresh meat color in post-mortem skeletal muscle: A review. Journal of Agricultural and Food Chemistry, 68(46), 12779–12787. https://doi.org/10.1021/acs.jafc.9b08098</mixed-citation><mixed-citation xml:lang="en">Ramanathan, R., Suman, S. P., Faustman, C. (2020). Biomolecular interactions governing fresh meat color in post-mortem skeletal muscle: A review. Journal of Agricultural and Food Chemistry, 68(46), 12779–12787. https://doi.org/10.1021/acs.jafc.9b08098</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Shkabrov, O. V., Reznichenko, V. D., Chernukha, I. M., Bolashenko, T. N., Lazovikova, L. V. (2023). Mechanics of meat color formation and methods of its registration. VESTNIK BGUT: Scientific and Methodical Journal, 2(35), 44–63. (In Russian)</mixed-citation><mixed-citation xml:lang="en">Shkabrov, O. V., Reznichenko, V. D., Chernukha, I. M., Bolashenko, T. N., Lazovikova, L. V. (2023). Mechanics of meat color formation and methods of its registration. VESTNIK BGUT: Scientific and Methodical Journal, 2(35), 44–63. (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Hasegawa, Y., Kawasaki, T., Maeda, N., Yamada, M., Takahashi, N., Watanabe, T. et al. (2021). Accumulation of lipofuscin in broiler chicken with wooden breast. Animal Science Journal, 92(1), Article e13517. https://doi.org/10.1111/asj.13517</mixed-citation><mixed-citation xml:lang="en">Hasegawa, Y., Kawasaki, T., Maeda, N., Yamada, M., Takahashi, N., Watanabe, T. et al. (2021). Accumulation of lipofuscin in broiler chicken with wooden breast. Animal Science Journal, 92(1), Article e13517. https://doi.org/10.1111/asj.13517</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Ahmmed, E., Mondal, A., Saha, N.C., Dhara, K., Chattopadhyay, P. (2021). A deoxygenation-switch-based red-emitting fluorogenic light-up probe for the detection of highly toxic free bilirubin in human blood serum. Analytical Methods, 13(46), 5651–5659. https://doi.org/10.1039/d1ay01717a</mixed-citation><mixed-citation xml:lang="en">Ahmmed, E., Mondal, A., Saha, N.C., Dhara, K., Chattopadhyay, P. (2021). A deoxygenation-switch-based red-emitting fluorogenic light-up probe for the detection of highly toxic free bilirubin in human blood serum. Analytical Methods, 13(46), 5651–5659. https://doi.org/10.1039/d1ay01717a</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Santacruz-Perez, C., Tonolli, P. N., Ravagnani, F. G., Baptista, M. S. (2018). Photochemistry of lipofuscin and the interplay of uva and visible light in skin photosensitivity. Chapter in a book: Photochemistry and Photophysics — Fundamentals to Applications. London, UK: IntechOpen, 2018. https://doi.org/10.5772/intechopen.76641</mixed-citation><mixed-citation xml:lang="en">Santacruz-Perez, C., Tonolli, P. N., Ravagnani, F. G., Baptista, M. S. (2018). Photochemistry of lipofuscin and the interplay of uva and visible light in skin photosensitivity. Chapter in a book: Photochemistry and Photophysics — Fundamentals to Applications. London, UK: IntechOpen, 2018. https://doi.org/10.5772/intechopen.76641</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">McEwen, M., Reynolds, K. (2006). Noninvasive detection of bilirubin using pulsatile absorption. Australasian Physical and Engineering Sciences in Medicine, 29(1), 78–83.</mixed-citation><mixed-citation xml:lang="en">McEwen, M., Reynolds, K. (2006). Noninvasive detection of bilirubin using pulsatile absorption. Australasian Physical and Engineering Sciences in Medicine, 29(1), 78–83.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Wajda, A., Dybas, J., Kachamakova-Trojanowska, N., Pacia, M.Z., Wilkosz, N., Bułat, K. et al. (2024). Raman imaging unveils heme uptake in endothelial cells. Scientific Reports, 14(1), Article 20684. https://doi.org/10.1038/s41598-024-71600-2</mixed-citation><mixed-citation xml:lang="en">Wajda, A., Dybas, J., Kachamakova-Trojanowska, N., Pacia, M.Z., Wilkosz, N., Bułat, K. et al. (2024). Raman imaging unveils heme uptake in endothelial cells. Scientific Reports, 14(1), Article 20684. https://doi.org/10.1038/s41598-024-71600-2</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Schweitzer-Stenner, R. (2014). Cytochrome c: A multifunctional protein combining conformational rigidity with flexibility. New Journal of Science, 2014, Article 484538. https://doi.org/10.1155/2014/484538</mixed-citation><mixed-citation xml:lang="en">Schweitzer-Stenner, R. (2014). Cytochrome c: A multifunctional protein combining conformational rigidity with flexibility. New Journal of Science, 2014, Article 484538. https://doi.org/10.1155/2014/484538</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Espitia-Almeida, F., Diaz-Uribe, C., Vallejo, W., Gómez-Camargo, D., Bohórquez, A.R.R., CLinares-Flores, C. (2021). Photophysical study and in vitro approach against leishmania panamensis of dicloro-5,10,15,20-Tetrakis(4-bromophenyl)porphyrinato Sn(IV). F1000 Research, 10, Article 379. https://doi.org/10.12688/f1000research.52433.3</mixed-citation><mixed-citation xml:lang="en">Espitia-Almeida, F., Diaz-Uribe, C., Vallejo, W., Gómez-Camargo, D., Bohórquez, A.R.R., CLinares-Flores, C. (2021). Photophysical study and in vitro approach against leishmania panamensis of dicloro-5,10,15,20-Tetrakis(4-bromophenyl)porphyrinato Sn(IV). F1000 Research, 10, Article 379. https://doi.org/10.12688/f1000research.52433.3</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Orehova, S., Nechiporenko, U., Vasileva, I., Nechiporenko, A. (2011). Electronic spectrum of pork and beef muscle tissue surface samples subjected to electron-radiation processing. Processing 6th Baltic Conference on Food Science and Technology: Innovations for Food Science and Production (FOODBALT-2011). Latvia, Jelgava, 2011.</mixed-citation><mixed-citation xml:lang="en">Orehova, S., Nechiporenko, U., Vasileva, I., Nechiporenko, A. (2011). Electronic spectrum of pork and beef muscle tissue surface samples subjected to electron-radiation processing. Processing 6th Baltic Conference on Food Science and Technology: Innovations for Food Science and Production (FOODBALT-2011). Latvia, Jelgava, 2011.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Domínguez, R., Pateiro, M., Gagaoua, M., Barba, F. J., Zhang, W., Lorenzo, J. M. (2019). A Comprehensive review on lipid oxidation in meat and meat products. Antioxidants, 8(10), Article 429. https://doi.org/10.3390/antiox8100429</mixed-citation><mixed-citation xml:lang="en">Domínguez, R., Pateiro, M., Gagaoua, M., Barba, F. J., Zhang, W., Lorenzo, J. M. (2019). A Comprehensive review on lipid oxidation in meat and meat products. Antioxidants, 8(10), Article 429. https://doi.org/10.3390/antiox8100429</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">De Ruyck, J., Famerée, M., Wouters, J., Perpète, E. A., Preat, J., Jacquemin, D. (2007). Towards the understanding of the absorption spectra of NAD(P)H/NAD(P)+ as a common indicator of dehydrogenase enzymatic activity. Chemical Physics Letters, 450(1–3), 119–122. https://doi.org/10.1016/j.cplett.2007.10.092</mixed-citation><mixed-citation xml:lang="en">De Ruyck, J., Famerée, M., Wouters, J., Perpète, E. A., Preat, J., Jacquemin, D. (2007). Towards the understanding of the absorption spectra of NAD(P)H/NAD(P)+ as a common indicator of dehydrogenase enzymatic activity. Chemical Physics Letters, 450(1–3), 119–122. https://doi.org/10.1016/j.cplett.2007.10.092</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Mitacek, R. M., Ke, Y., Prenni, J. E., Jadeja, R., VanOverbeke, D.L., Mafi, G.G. et al. (2019). Mitochondrial degeneration, depletion of NADH, and oxidative stress decrease color stability of wet-aged beef longissimus steaks. Journal of Food Science, 84(1), 38–50. https://doi.org/10.1111/1750-3841.14396</mixed-citation><mixed-citation xml:lang="en">Mitacek, R. M., Ke, Y., Prenni, J. E., Jadeja, R., VanOverbeke, D.L., Mafi, G.G. et al. (2019). Mitochondrial degeneration, depletion of NADH, and oxidative stress decrease color stability of wet-aged beef longissimus steaks. Journal of Food Science, 84(1), 38–50. https://doi.org/10.1111/1750-3841.14396</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Ramanathan, R., Mafi, G. G., Yoder, L., Perry, M., Pfeiffer, M., VanOverbeke, D. L. et al. (2020). Biochemical changes of postmortem meat during the aging process and strategies to improve the meat quality. Chapter in a book: Meat Quality Analysis. Academic Press, 2020. https://doi.org/10.1016/b978-0-12-819233-7.00005-7</mixed-citation><mixed-citation xml:lang="en">Ramanathan, R., Mafi, G. G., Yoder, L., Perry, M., Pfeiffer, M., VanOverbeke, D. L. et al. (2020). Biochemical changes of postmortem meat during the aging process and strategies to improve the meat quality. Chapter in a book: Meat Quality Analysis. Academic Press, 2020. https://doi.org/10.1016/b978-0-12-819233-7.00005-7</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>
