Application of the principal component method to visualize studies of exhaled breath condensate

Abstract

A variety of research approaches are used to obtain information about metabolic processes occurring in the human respiratory system. Functional study of the lungs and broncho-alveolar system is an important area in pathological physiology and can be studied on the basis of analysis of exhaled breath condensate (EBC) [1]. The spectrum of substances found in exhaled air ranges from diatomic molecules such as hydrogen (H2), oxides of carbon (CO) and nitrogen (NO) to polyhydric aliphatic and aromatic hydrocarbons. The study of gas exchange of biological objects and analysis of the composition of exhaled air (biological particles suspended in it) is a large area of research with different instrumental approaches and a wide range of analytical characteristics. Aim. The aim of this work is to study the possibility of applying the method of principal components to simplify the visualization of the spectral distribution of exhaled breath condensate.