Научная статья на тему 'Analysis of rodent’s urine vapors with using THz high resolution spectrometer for revealing the markers of dysbacteriosis '

Analysis of rodent’s urine vapors with using THz high resolution spectrometer for revealing the markers of dysbacteriosis Текст научной статьи по специальности «Биотехнологии в медицине»

CC BY
38
20
i Надоели баннеры? Вы всегда можете отключить рекламу.
i Надоели баннеры? Вы всегда можете отключить рекламу.
iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
i Надоели баннеры? Вы всегда можете отключить рекламу.

Текст научной работы на тему «Analysis of rodent’s urine vapors with using THz high resolution spectrometer for revealing the markers of dysbacteriosis »

THz-O-2

NONLINEAR AND TERAHERTS PHOTONICS

Analysis of rodent's urine vapors with using THz high resolution spectrometer for revealing the markers of dysbacteriosis

V.L.Vaks'2, V.A.Anfertev1, E.G.Domracheva1, M.B.Chernyaevau, T.G, Shcherbatyuk3, E.S.Zhukova3

1 - Institute for Physics of Microstructures RAS, 603950, Russia, Nizhny Novgorod, GSP-105 2- Lobachevsky University, 603022, Russia, Nizhny Novgorod, Gagarina av., 23 3- Nizhny Novgorod research institute for hygiene and occupational pathology», Rospotrebnadzor, Nizhny Novgorod,

603105 Russia, Semashko str., 20 elena@ipmras.ru

Nowadays there is a trend towards diagnosing diseases and pathologies, as well as the impact of therapy on the human body, based on identifying the metabolic profile of the disease, i.e. a set of metabolites - final or intermediate products of metabolism in the living body, specific for a given disease or pathology. The search for biomarkers is possible in exhaled breath, as well as in biological liquids (blood, urine, saliva, etc.), and this is often more informative, because substances may be present in high concentrations [1]. Preclinical trials of approaches to the treatment of diseases, including socially significant ones, such as dysbacteriosis, are carries out on rodents.

The thermal decomposition products content of the line of the urine samples of rats with artificially induced dysbacteriosis was studied in this work. A promising approach for studying multicomponent gas mixtures of various origins, including biological ones, is molecular absorption spectroscopy, in particular, nonstationary spectroscopy in the terahertz (THz) frequency range [2]. The advantages of the THz frequency range (100 GHz-10 THz) is the presence of absorption lines of the rotational spectrum, as well as low-frequency vibrational spectra of molecules. When radiation that has passed through a gaseous sample is detected, absorption lines are recorded in the spectrum, which are an unambiguous characteristic of specific substances. By the presence of these absorption lines, the conclusion about the presence of these substances in the studied multicomponent gas mixture can be done, and, therefore, potential markers of pathologies, diseases and markers that characterize the effects of various effects on a living organism, can be identified. A set of metabolites (see Figure) appeared during thermal decomposition of samples (healthy, with artificially induced dysbacteriosis, with various treatment regimens) was revealed, and the compositions of gaseous products were compared. The presented approach is promising for the development of a non-invasive research method that allows to identify markers that reflect the presence of dysbacteriosis, as well as to assess the impact on the rat's organism during the therapy.

ALT'22

The authors acknowledge the support from Russian Scientific Foundation (grant 21-72-30020, https://rscf.ru/proj-ect/21-72-30020/).

[1] A. Amann, B. de Lacy Costello, M. Miekisch, J. Schubert et al. The human volatilome: volatile organic compounds (VOCs) in exhaled breath, skin emanations, urine, feces and saliva, J. Breath Res. vol.8, P. 034001 (17pp.) (2014).

[2] V. Vaks, V. Anfertev, V. Balakirev, S. Basov, E. Domracheva, A. Illyuk, P. Kupriyanov, S. Pripolzin, M. Chernyaeva. High

resolution terahertz spectroscopy for analytical applications. Phys. Usp. vol. 63, pp. 708-720, (2020).

i Надоели баннеры? Вы всегда можете отключить рекламу.