Application of Raman spectroscopy and machine learning for studying of blood serum of rats with liver cancer
O. P. Cherkasova 1,2, A. A. Mankova 3, E. N. Lazareva 4,5, Y.V. Kistenev 6, D. A. Vrazhnov 4,6, V.V. Tuchin 4,5 and A.P. Shkurinov 2,3
1 Institute of Laser Physics SB RAS, Russia
2 Institute on Laser and Information Technologies - Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of RAS, Russia
3 Lomonosov Moscow State University, Russia
4 Tomsk State University, Russia
5 Saratov State University, Russia
6 Institute of Strength Physics and Materials Science of Siberian Branch of the RAS, Russia
Abstract
Raman spectroscopy combined with advanced chemometrics has been used to study the blood serum of rats in dynamics of experimental liver cancer. It was shown that intensity of the amide I band differs in Raman spectra depending on the tumor stage and correlates with protein concentration in samples. Thus, maximum concentration of the protein is observed in the blood samples of the healthy rats, minimum in the samples of the rats on the 28 day after implantation of tumor cells. Some rats have a high blood glucose level. The appearance of the shoulder on 1670 cm-1 indicates an increase in the content of β-structure in protein conformation due to glication. Using the principal component analysis allows evaluating differences in Raman spectra of samples of the healthy rats and the rats on the 28 day after implantation of tumor cells.
Speaker
Olga Cherkasova
Institute of Laser Physics of the Siberian Branch of the RAS
Russia
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