CANCER  DIAGNOSTIC AND MONITORING USING ULTRASENSITIVE RAMAN SPECTROSCOPIC TECHNIQUES
PN II PCE ID_2284 NR 537/2009

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  The long-term goal of the project is to develop methods of spectral diagnosis for in-vivo molecular analysis of medical samples from gastro-ntestinal tract, such as colon tissue and cells. Performing spectral optimization, acquisition and processing data, molecular fingerprints will be analysed using recent techniologies base on laser Raman spectroscopy. The spectral differencees that reflect the molecular changes in malignancy will be correlated with the medical parameters describing the malignancy in order to setup a reliable, rapid, ultrasenzitive and noninvazive technique for cancer diagnostic and therapy monitoring. The project will help to identify proteins and nucleic acids in malignant tissue in different stages and to create spectra that reveal the chemical structure of molecules in healthy and diseased cells. Furthermore, several natural extracts containing betulin derivatives will be analized, due to their antitumoral effects. Their molecular characterization will help for physiological monitoring at the interface with the malignancy. Using micro-Raman and confocal Raman technique in conjunction with surface-enhanced Raman scattering (SERS) on artificial surfaces with near infrared plasmon resonance, selective spectral fingerprint from specific molecular components is evidenced. Due to the current interest in the field of laser physics, Raman spectroscopy and nanotechnology-based diagnostic methods, this project brings many opportunities for synergy with hospitals.        


Ultrasenzitive Raman techniques for cells and tissues characterization at molecular level, i.e. for early diagnostic

Vibrational spectroscopic investigation of new pharmaceuticals based on Betula Pendula Roth natural extracts with antitumor activity as well as and therapy monitoring

“Scientific apparatus offers a window to knowledge, but as they grow more elaborate, scientists spend ever more time washing the windows.”
(Isaac Asimov)

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