Terahertz spectroscopy of diabetic and non-diabetic human blood plasma pellets

Lykina, A.A.; Nazarov, M.M.; Konnikova, M.R.; Mustafin, I.A.; Vaks, V.L.; Anfertev, V.A.; Domracheva, E.G.; Chernyaeva, M.B.; Kistenev, Y.V.; Vrazhnov, D.A.; Prischepa, V.V.; Kononova, Y.A.; Korolev, D.V.; Cherkasova, O.P.; Shkurinov, A.P.; Babenko, A.Y.; Smolyanskaya, O.A.

Авторы: Lykina Anastasiya A., Nazarov Maksim M., Konnikova Maria R., Mustafin Ilia A., Vaks Vladimir L., Anfertev Vladimir A., Domracheva Elena G., Chernyaeva Mariya B., Kistenev Yuri V., Vrazhnov Denis A., Prischepa Vladimir V., Kononova Yulia A., Korolev Dmitry V., Cherkasova Olga P., Shkurinov Alexander P., Babenko Alina Y., Smolyanskaya Olga A.
Журнал: Journal of Biomedical Optics
Том: 26
Номер: 04
Год издания: 2021
Издательство: SPIE, the International Society for Optical Engineering
Местоположение издательства: Bellingham, WA, United States
Первая страница: 043006
DOI: 10.1117/1.jbo.26.4.043006
Аннотация: Significance: The creation of fundamentally new approaches to storing various biomaterial andestimation parameters, without irreversible loss of any biomaterial, is a pressing challenge inclinical practice. We present a technology for studying samples of diabetic and non-diabetichuman blood plasma in the terahertz (THz) frequency range.Aim: The main idea of our study is to propose a method for diagnosis and storing the samples ofdiabetic and non-diabetic human blood plasma and to study these samples in the THz frequencyrange.Approach: Venous blood from patients with type 2 diabetes mellitus and conditionally healthyparticipants was collected. To limit the impact of water in the THz spectra, lyophilization ofliquid samples and their pressing into a pellet were performed. These pellets were analyzed usingTHz time-domain spectroscopy. The differentiation between the THz spectral data was conductedusing multivariate statistics to classify non-diabetic and diabetic groups’ spectra.Results:We present the density-normalized absorption and refractive index for diabetic and nondiabeticpellets in the range 0.2 to 1.4 THz. Over the entire THz frequency range, the normalizedindex of refraction of diabetes pellets exceeds this indicator of non-diabetic pellet on average by9% to 12%. The non-diabetic and diabetic groups of the THz spectra are spatially separated inthe principal component space.Conclusion: We illustrate the potential ability in clinical medicine to construct a predictive ruleby supervised learning algorithms after collecting enough experimental data
Добавил в систему: Шкуринов Александр Павлович

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Terahertz spectroscopy of diabetic and non-diabetic human blood plasma pelletsстатья

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