Semiconductor Physics, Quantum Electronics & Optoelectronics, 25 (1), P. 102-108 (2025).
DOI: https://doi.org/10.15407/spqeo28.01.102


References


1. Xu Y., Bai P., Zhou X. et al. Optical refractive index sensors with plasmonic and photonic structures: Promising and inconvenient truth. Adv. Opt. Mater. 2019. 7, Issue 9. P. 1801433. https://doi.org/10.1002/adom.201801433
2. Khodaie A., Heidarzadeh H., Harzand F.V. Development of an advanced multimode refractive index plasmonic optical sensor utilizing split ring resonators for brain cancer cell detection. Sci. Rep.
2025. 15. P. 433. https://doi.org/10.1038/s41598-024-84761-x
3. Liedberg B., Nylander C., Lunstr?m I. Surface plasmon resonance for gas detection and biosensing. Sens. Actuators. 1983. 4. P. 299-304. https://doi.org/10.1016/0250-6874(83)85036-7
4. Klestova Z., Yushchenko A., Dremukh Yu. et al. Diagnostics of cattle leucosis by using a biosensor based on surface plasmon resonance phenomenon. SPQEO. 2019. 22. P. 111-118. https://doi.org/10.15407/spqeo22.01.111
5. Yang Z., Zhao C., Zong S. et al. A review on surgical treatment options in gliomas. Front. Oncol.
2023. 13. P. 1088484. https://doi.org/10.3389/fonc.2023.1088484
6. Sidnev D.A. Physical and Technical Principles of Radiation Diagnostics and Radiation Protection. Kiev: Poligraf, 2005 (in Russian).
7. Huakan Z., Wu L., Yan G. et al. Inflammation and tumor progression: signaling pathways and targeted intervention. Sig. Transduct. Target Ther. 2021. 6. P. 263. https://doi.org/10.1038/s41392-021-00658-5
8. Gridina N., Shvachko L., Draguntsova N. Tumor- associated inflammation mechanisms correction by verapamil at brain gliomas progression. Eur. J. Phar- maceutic. Med. Res. (EJPMR). 2016. 3. P. 73-78.
9. Samoylov A.V., Khristosenko R.V., Gridina N.Ya. et al. Dual-channel SPR biosensor for enhanced glioma relapse diagnostics: Blood cell aggregation as a biomarker for tumor malignancy. SPQEO.
2024. 27. P. 502-508. https://doi.org/10.15407/spqeo27.04.502
10. Gridina N., Guk A., Glavatsky A. et al. Early pre- diction of brain tumors postoperative progression of using the peripheral blood cells aggregation level indicators by surface plasmon resonance method. BOHR Int. J. Neurol. Neurosci. 2024. 2, No 2. P. 1-3. https://doi.org/10.54646/bijnn.2024.20
11. Gridina N., Morozov A., Rozumenko V. et al. Some aspects of the systemic mechanism of brain malignant gliomas progression and methodological approaches to its correction. EC Neurology. 2020.
12. P. 80-90.
12. Gridina N., Morozov A., Rozumenko V. et al. New pathogenetic approaches to inhibit the growth of glioblastoma relapses. EC Neurology. 2020. 12. P. 1-9.
13. Gridina N.Y., Zhebrivska F.I., Morozov À.M. et al. The first experience of combined treatment of brain malignant gliomas by means of blocking membrane calcium channels. Ukr. Neurosurg. J. 2019. 25, No
3. P. 43-50. https://doi.org/10.25305/unj.168800
14. Clements J., Lester R., Tong G. et al. The time course of glutamate in the synaptic cleft. Science.
1992. 258(5087). P. 1498-1501. https://doi.org/10.1126/science.1359647
15. Lu T., Lee C.-H., Anvari B. Morphological charac- teristics, hemoglobin content, and membrane mecha- nical properties of red blood cell delivery systems. ACS Appl. Mater. Interfaces. 2022. 14. P. 18219-1823. https://doi.org/10.1021/acsami.2c03472
16. Rozumenko V., Gridina N., Khomenkova L. et al. Correlation between peripheral blood cells and their membrane charge depending on the radicality of surgical removal of glioblastomas. EC Neurology.
2024. 16, No 11. P. 1-7.
17. Pedachenko E., Ìîrozov À., Gridina N. et al. Cor- relations between indicators of blood cells aggre- gation level and the number of lymphoblasts and monocytes in patients with glioblastomas. Online J. Neurol. Brain Disord. 2021. 5. P. 506-510. https://doi.org/10.32474/OJNBD.2021.05.000220
18. Yang Y., Hu F., Wu S. et al. Blood-based biomarkers: diagnostic value in brain tumors (focus on gliomas). Front Neurol. 2023. 14. P. 1297835. https://doi.org/10.3389/fneur.2023.1297835
19. Jelski W., Mroczko B. Molecular and circulating biomarkers of brain tumors. Int. J. Mol. Sci. 2021. 22, No 13. P. 7039. https://doi.org/10.3390/ijms22137039
20. Kan L.K., Drummond K., Hunn M. et al. Potential biomarkers and challenges in glioma diagnosis, therapy and prognosis. BMJ Neurology Open. 2020.
2. P. e000069. https://doi.org/10.1136/bmjno-2020-000069