Publication:
Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis

Дата
2020
Авторы
Peyvasteh, M.
Popov, A.
Bykov, A.
Meglinski, I.
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Научные группы
Организационные подразделения
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Организационная единица
Инженерно-физический институт биомедицины
Цель ИФИБ и стратегия развития – это подготовка высококвалифицированных кадров на базе передовых исследований и разработок новых перспективных методов и материалов в области инженерно-физической биомедицины. Занятие лидерских позиций в биомедицинских технологиях XXI века и внедрение их в образовательный процесс, что отвечает решению практикоориентированной задачи мирового уровня – диагностике и терапии на клеточном уровне социально-значимых заболеваний человека.
Выпуск журнала
Аннотация
© 2020 The Author(s). Published by IOP Publishing Ltd.Increasing concerns about adulterated meat encouraged industry looking for new non-invasive methods for rapid accurate meat quality assessment. Main meat chromophores (myoglobin, oxymyoglobin, fat, water, collagen) are characterized by close comparable absorption in visible to nearinfrared (NIR) spectral region. Therefore, structural and compositional variations in meat may lead to relative differences in the absorption of light. Utilizing typical fiber-optic probes and integrating sphere, a degradation of pork samples freshness was observed at room temperature referring to the relative changes in absorbance of main meat chromophores. The application of principal component analysis (PCA) used for examination of measured absorbance spectra revealed more detailed substages of freshness, which are not observed by the conventional analysis of the reflectance spectra. The results show a great potential of the combined application of optical-NIR spectroscopy with complementary use of PCA approach for assessing meat quality and monitoring relative absorbance alternation of oxymyoglobin and myoglobin in visible, and fat, water, collagen in NIR spectral ranges.
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Цитирование
Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis / Peyvasteh, M. [et al.] // Journal of Physics Communications. - 2020. - 4. - № 9. - P. 1-11. - 10.1088/2399-6528/abb322
URI
https://www.doi.org/10.1088/2399-6528/abb322
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85090917427&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000570422100001
 https://openrepository.mephi.ru/handle/123456789/22333
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