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High-Resolution Terahertz Spectroscopy for Medical Diagnostics
Vladimir Vaks1,2, Elena Domracheva1,2, Maria Chernyaeva1,2
1Terahertz Spectrometry Department, Institute for Physics of Microstructures of RAS, Nizhny Novgorod, Nizhny Novgorod Region, Russia.
Journal of Biophotonics
|October 12, 2024
Summary
Terahertz spectroscopy identifies disease-specific metabolites in biological samples. This high-sensitivity method aids in diagnosing and monitoring diseases by analyzing thermal decomposition products.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Medical Diagnostics
Background:
- Metabolomics offers a promising approach for disease diagnostics and therapy monitoring.
- Terahertz (THz) nonstationary spectroscopy is a highly sensitive method for analyzing multicomponent gas mixtures.
- Identifying metabolites in thermal decomposition products of biological samples is crucial for medical insights.
Purpose of the Study:
- To apply high-resolution terahertz spectroscopy for analyzing biological samples from patients with specific diseases.
- To identify characteristic sets of metabolites that signify particular pathologies.
- To investigate pathologic tissues from various life support systems for commonalties.
Main Methods:
- Utilized terahertz nonstationary spectroscopy to study the induction and disintegration of polarization in gas mixtures.
- Analyzed resonance frequency interactions between radiation and molecules in biological samples.
- Performed spectral measurements on pathologically changed tissues, including cysts from different life support systems.
Main Results:
- Successfully applied high-resolution terahertz spectroscopy to biological samples from patients with ear-nose-throat diseases and similar pathologies.
- Detected characteristic sets of metabolites indicative of specific disease states.
- Achieved world-first spectral measurements of pathologic cyst samples, revealing similar substances in tissues with identical pathologies.
Conclusions:
- Terahertz spectroscopy is a powerful tool for identifying disease-specific metabolites in biological samples.
- The findings demonstrate the potential of this technique for medical diagnostics and pathology research.
- The identification of similar metabolites across different life support systems suggests conserved pathological pathways.

