Laser photoacoustic spectroscopy applications in breathomics

Yury V. Kistenev; Alexey V. Borisov; Victor V. Nikolaev; Denis A. Vrazhnov; Dmytry A. Kuzmin

doi:10.18287/JBPE19.05.010303

Authors

Yury V. Kistenev Tomsk State University, Russia Siberian State Medical University, Tomsk, Russia
Alexey V. Borisov Tomsk State University, Russia Siberian State Medical University, Tomsk, Russia
Victor V. Nikolaev Tomsk State University, Russia Institute of Strength Physics and Materials Science of Siberian Branch of the RAS, Tomsk, Russia
Denis A. Vrazhnov Tomsk State University, Russia Institute of Strength Physics and Materials Science of Siberian Branch of the RAS, Tomsk, Russia
Dmytry A. Kuzmin Siberian State Medical University, Tomsk, Russia

DOI:

https://doi.org/10.18287/JBPE19.05.010303

Keywords:

Breathomics, exhaled air analysis, laser photoacoustic spectroscopy, optical parametric oscillator, machine learning, lung cancer

Abstract

The breathomics approach to express-diagnosis of bronchopulmonary diseases based on spectral analysis of volatile organic compounds in a patient’s exhaled air is discussed. The basic demands and possible technical solutions to laser photoacoustic spectroscopy equipment in a framework of breathomics are presented. An example of differential diagnostics of the set of bronchopulmonary diseases, including lung cancer (LC) patients (N = 9); patients with chronic obstructive pulmonary disease (COPD) (N = 12); patients with pneumonia (N = 11) and a control group of healthy volunteers using breath air analysis by laser photoacoustic spectroscopy and machine learning is presented.

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