Optical methods of exhaled air analysis for the diagnosis of human diseases
Igor Fufurin 1, Andrey Morozov 1, Alexander Apolonski 2
1 Bauman Moscow State Technical University
2 Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences
Abstract
There is no early diagnosis of several diseases due to a lack of understanding of how to carry it out in the absence of symptoms. This problem can be formulated especially clearly in relation to the impossibility of visualizing the entire human body with the necessary spatial resolution (tomography, X-ray, ultrasound). The task becomes feasible when you receive information about which organ needs to be scanned. This is the kind of primary information that can be expected from a metabolic diagnosis. Numerous studies of the gas phase of biofluids using nano-sensors (electronic nose), mass spectrometers, and optical spectrometers have not yet provided the necessary diagnostic accuracy [1,2].
We have recently demonstrated the complementarity of the gas phase of blood and urine [3]. In general, this issue is an open one. We see the possibility of using different biofluids in the gas phase to improve the accuracy of diagnosis of certain diseases, such as urine and blood for the genitourinary system.
It is generally believed that any disease should lead to their change. In a healthy person, the set of concentrations of metabolites is extremely stable for at least 3.5 years (measurement time) and changes dramatically during the course of the disease, returning to its equilibrium value after recovery [4]. This result allowed us to propose the idea of using a stable set of concentrations of metabolites (stability island).
The recent emergence of artificial intelligence methods for analyzing statistical data, along with the high diagnostic accuracy obtained, raises many questions. We are developing the possibility of effectively classifying patients among several diseases [5].
1. J. Pereira et al. Metabolites 53 (2014).
2. X. Sun et al. Anal sex. A biosimilar. Chemical number 408 2759 (2016).
3. A. Apollons Maggi et al. Appendix No. 59 E36-E41 (2020).
4. K. Mighty et al. Scientific Reports 9 16167 (2019)).
5. I. Fufurin et al. Materials, 15, 29-84 (20-22).
Speaker
Igor Fufurin
Bauman Moscow State Technical University
Russia
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