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Terahertz Spectroscopy of blood plasma for cancer diagnosis and treatment

Olga P. Cherkasova 1,2, Nazar A. Nikolaev 1,2
1-Institute of Automation and Electrometry SB RAS, Novosibirsk, Russia
2-Institute of Laser Physics of SB RAS, Novosibirsk, Russia


Cancer is one of the major diseases that seriously affect human health and threaten human life. The World Health Organization and the health departments of governments of all countries have listed tackling cancer as a top priority. For most cancer patients, early detection can enable patients to receive timely treatment and have a greater chance of cure. Therefore, the early screening and diagnosis of tumors is of great significance. Early cancer diagnosis can be achieved by analyzing blood plasma [1, 2]. In the report, we will consider ways to increase the sensitivity of THz pulsed spectroscopy to cancer diagnosis: - using the full amplitude of the THz pulse time profile for an integral assessment of the difference in the THz response of blood serum from the response of water [3]; - analysis of lyophilized blood plasma for better separation of samples from patients and healthy individuals [4]; - application of machine learning methods for the analysis of THz spectral data [4-6]; - application of THz metamaterials for the detection of cancer biomarkers [7, 8].

The work was carried out within the framework of the budget project of the Institute of Automation and Electrometry SB RAS.

[1] O. Cherkasova, Y. Peng, M. Konnikova, et al., “Diagnosis of Glioma Molecular Markers by Terahertz Technologies”, Photonics, vol. 8(1), pp. 22, (2021).
[2] O. Cherkasova, M. Konnikova, M. Nazarov, et al, “Terahertz Spectroscopy of Mouse Blood Serum in the Dynamics of Experimental Glioblastoma”, Journal of Biomedical Photonics & Engineering, p. 030308. doi: 10.18287/JBPE23.09.030308 (2023).
[3] M. M. Nazarov, O. P. Cherkasova, E. N. Lazareva, et al., “A Complex Study of the Peculiarities of Blood Serum Absorption of Rats with Experimental Liver Cancer”, Opt. Spectrosc, vol. 126, pp. 721-729, (2019).
[4] M. R. Konnikova, O. P. Cherkasova, M. M. Nazarov et al., Malignant and benign thyroid nodule differentiation through the analysis of blood plasma with terahertz spectroscopy, Biomed. Opt. Express, vol. 12, pp. 1020-1035, (2021).
Kistenev Y.V., Borisov A.V., Kuzmin D.A. et al. J. Biomed. Opt. 22(1), 017002 (2017).
[5] Cherkasova, O.; Vrazhnov, D.; Knyazkova, A.; et al., “Terahertz Time-Domain Spectroscopy of Glioma Patient Blood Plasma: Diagnosis and Treatment”, Appl. Sci. 2023, 13, 5434.
[6] Vrazhnov, D.; Knyazkova, A.; Konnikova, M.; et al., “Analysis of Mouse Blood Serum in the Dynamics of U87 Glioblastoma by Terahertz Spectroscopy and Machine Learning”, Appl.Sci. 2022, 12, 10533.
[7] Kuznetsov S., Konnikova M., Heinz T., et al., “Terahertz technology in diagnosis of glioma molecular markers”, Journal of Physics: Conference Series, 2316 (12), 012016 (2022). doi: 10.1088/1742-6596/2316/1/012016.
[8] M.R. Konnikova, O.P. Cherkasova, T.A. Geints, et al., “Study of adsorption of the SARS-CoV-2 virus spike protein by vibrational spectroscopy using terahertz metamaterials”, Quantum Electron., 52 (1) (2022). doi: 10.1070/QEL17960.

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Olga Cherkasova
Institute of Automation and Electrometry SB RAS


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