| Abstract [eng] |
Student: Martynas Velička Title of the master thesis: „THE DIAGNOSIS OF KIDNEY CANCER USING SURFACE ENHANCED RAMAN SCATTERING SPECTROSCOPY”. The aim of this work was to prepare silver nanoparticle layers, which would be effective for the analysis of biological fluids, and use them for the kidney cancer diagnosis by analyzing SERS spectra of the extracellular matrix of kidney tissue. The tasks of this work were set as follows. 1. To improve the preparation of silver nanoparticle layers used in SERS spectroscopy and testing them by detecting uric acid molecules in water and blood. 2. Using prepared layers, to register the spectra of the extracellular matrix of the kidney tissues taken from different patients, and to determine the spectral markers of cancerous cells which could be used for the cancerous tissue identification. 3. To determine the usability of the SERS method for diagnosis of kidney cancer carcinoma. It was determined that the spherical and prism shaped nanoparticle layers prepared during this work were more homogenous than prepared in an open environment. Measurement deviations got while using these layers were smaller and comparable with the ones got while using commercially sold substrates. Due to the lower cost of the prepared substrates they were more suitable for the routine analysis of biological fluids. It was determined that the nanoparticle layers can be used for detection of uric acid in biological fluids even with concentrations that were lower than normal. Also, these substrates could be used for the approximate quantitative analysis of uric acid in biological fluids. SERS spectra of cancerous and normal kidney extracellular matrix with single cells was registered using the layers prepared in this work. The assignment of the vibrational bands were made and the main differences between the spectra were identified. These spectral differences allowed the identification of cancerous tissue areas. It was determined that the vibrational band corresponding to the vibrations of glycogen can be used as spectral marker for the precise diagnosis of cancerous kidney tissue areas. |
