Breathomics using IR spectroscopy. A way to monitor noncompliance.
Igor L. Fufurin 1, Igor S. Golyak 1, Pavel P. Demkin 1, Vladimir A. Lazarev 1, Alexander A. Aplolonskiy 2
1 Bauman Moscow State Technical
2 Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences
Abstract
The widespread occurrence of noncompliance (violation of the medication regimen) in mental disorders has severe consequences, leading to an increase in maladaptation of patients, deterioration of their quality of life, including disability. This creates an increased burden on inpatient psychiatric care and contributes to an increase in government spending on treatment, primarily due to an increase in the frequency of hospitalization. In noncompliant patients, antisocial behavior is more often observed, requiring the participation of the judicial system due to the public danger of patients, and suicidal behavior. We offer a non-invasive method of breath analysis that allows for a comprehensive diagnosis of human health by analyzing the human breath [1,2 ]. Infrared Fourier spectroscopy allows obtaining the widest and most informative spectra (from 500 to 8500 cm-1) with a signal to noise ratio noise is at least 40,000 in the interferogramm. The spectral resolution is of the order of 0.5 - 1 cm-1, which allows the analysis of metabolites with narrow spectral lines, which greatly simplifies the analysis in the presence of impurities. The sensitivity of the method is in the order of 10-50 ppb, depending on the metabolite and interfering impurities. To eliminate water as the main interfering impurity, a cryocondensation method has been developed that complements or is an alternative to nafion desiccants.
[1] Deep Learning for Type 1 Diabetes Mellitus Diagnosis Using Infrared Quantum Cascade Laser Spectroscopy / I. Fufurin [et al.] // Materials. – 2022. – Vol. 15, No. 9 – DOI 10.3390/ma15092984.
[2] A hybrid learning approach to better classify exhaled breath's infrared spectra: A noninvasive optical diagnosis for socially significant diseases / I. S. Golyak [et al.] // Journal of Biophotonics. – 2024. – Vol. 17, No. 10. – P. e202400151. – DOI 10.1002/jbio.202400151.
Speaker
Igor Fufurin
Bauman Moscow State Technical
Russia
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