| Title: | Diabetes noninvasive diagnostics and monitoring through volatile biomarkers analysis in the exhaled breath using optical absorption spectroscopy |
| Author(s): | Kistenev YV; Borisov AV; Zasedatel VS; Spirina LV; |
| Address: | "Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia. Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia. Division of Biochemistry and Molecular Biology, Siberian State Medical University, Tomsk, Russia. Laboratory of Tumor Biochemistry, Cancer Research Institute, National Research Medical Center, Tomsk, Russia" |
| ISSN/ISBN: | 1864-0648 (Electronic) 1864-063X (Linking) |
| Abstract: | "The review is aimed on the analysis the abilities of noninvasive diagnostics and monitoring of diabetes mellitus (DM) and DM-associated complications through volatile molecular biomarkers detection in the exhaled breath. The specific biochemical reactions in the body of DM patients and their associations with volatile molecular biomarkers in the breath are considered. The applications of optical spectroscopy methods, including UV, IR, and terahertz spectroscopy for DM-associated volatile molecular biomarkers measurements, are described. The applications of similar technique combined with machine learning methods in DM diagnostics using the profile of DM-associated volatile molecular biomarkers in exhaled air or 'pattern-recognition' approach are discussed" |
| Keywords: | diabetes e-nose exhaled air laser absorption spectroscopy machine learning predictive data models volatile organic and inorganic compounds; |
| Notes: | "PublisherKistenev, Yury V Borisov, Alexey V Zasedatel, Vyacheslav S Spirina, Liudmila V eng 075-15-2021-615/Government of the Russian Federation/ Review Germany 2023/08/29 J Biophotonics. 2023 Aug 29:e202300198. doi: 10.1002/jbio.202300198" |
