Analysis of Surface-Enhanced Raman spectra of blood serum in patients with COPD
Lyudmila A. Bratchenko,1 Sahar Z. Al-Sammarraie,1 Elena N. Tupikova,1 Vitaly I. Kupaev,2 Peter A. Lebedev,2 Ivan A. Bratchenko1 1 Samara National Research University, Samara, Russia 2 Samara State Medical University, Samara, Russia
Abstract
One of the most accessible methods for the initial assessment of the human body state is the blood serum analysis. The study of the spectral features of serum in various diseases based on a combination of surface-enhanced Raman spectroscopy (SERS) and multivariate analysis can allows for evaluating the specificity of such analysis for detecting various pathologies and comprehensive monitoring of the human body state. Thus, the aim of the current work is testing the serum SERS characteristics of patients with chronic obstructive pulmonary disease (COPD) with the identification of spectral differences from the control group samples. The database of experimental data was formed on the basis of registrating the spectral characteristics of the blood serum of 39 patients with COPD and 30 subjects of the control group. The spectra were excited in the near infrared range using a laser module with a central wavelength of 785 nm. The resulting spectra were subjected to multivariate analysis by means of the method of projections onto latent structures (PLS-DA) and visualization of the most significant spectral bands to construct discrimination. The constructed discrimination model is characterized by a specificity of 0.91, a sensitivity of 0.98, and an accuracy of 0.95. Analyzing the distribution of the variables importance of the serum spectrum in the construction of the PLS-DA discrimination model for the control group and the group of patients with COPD made it possible to identify spectral differences in the 1055 cm-1 and 1395 cm-1 bands.
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Lyudmila Bratchenko
Samara National Research University
Russia
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