Terahertz nonstationary high-resolution spectroscopy: state-of-the-art and trends of development

被引：0
|
作者：
Vaks, Vladimir l. [1 ,2 ]
Domracheva, Elena G. [1 ,2 ]
Chernyaeva, Mariya B. [1 ,2 ]
Anfertev, Vladimir A. [1 ,2 ]
Yablokov, Anton A. [1 ,2 ]
机构：
[1] Russian Acad Sci, Inst Phys Microstruct, Nizhnii Novgorod, Russia
[2] Lobachevsky State Univ Nizhny Novgorod, Nizhnii Novgorod, Russia
来源：
JOURNAL OF OPTICAL TECHNOLOGY | 2024年 / 91卷 / 01期
基金：
俄罗斯科学基金会;
关键词：
Tissue;
D O I：
10.1364/JOT.91.000023
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Subject of study. The subject of this study was the chemical composition of multicomponent gas mixtures of biological origin. Aim of study. . This study aimed to construct the metabolic profiles of diseases by studying biological samples (tissues of ear-nose-throat organs, urine) with high-resolution terahertz (THz) spectroscopy. Method. Spectroscopy based on nonstationary effects, such as inducing and decaying the free dumping polarization in a gas sample during the interaction of radiation and gas molecules, is a highly sensitive method for investigating multi- component gas mixtures. A spectrometer based on these principles operates in the modes with the phase switching or fast sweeping of the probing radiation. Main results. Some experimental results of using high-resolution THz spectroscopy for medical diagnostics and treatment control are presented in this paper. The multicomponent gas mixtures, such as vapors or thermal decomposition products of various samples [biological liquids (urine) and pathological tissues of living organisms], were studied using THz nonstationary spectrometers for developing diagnostic methods. The results of experimental data analysis reveal the markers for specified diseases of living organisms (diabetes, pathology tissues of ear-nose-throat organs) or substances appearing during therapeutic treatment (nephrotoxical influence of chemotherapy). Practical significance. THz nonstationary high-resolution spectroscopy can be considered a prospective analytical method of spectral analysis for fundamental and applied research. (c) 2024 Optica Publishing Group
引用
收藏
页码：23 / 28
页数：6
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