Journal of Physical Chemistry & Biophysics
Open Access

Identifying disease and monitoring treatment via specific molecules using Raman spectral libraries

3^rd International Conference and Exhibition on Lasers, Optics & Photonics

September 01-03, 2015 Valencia, Spain

Alexandre Douplik1,2,3, A Pandya1, J Hilaneh1 and J C Kumaradas1

1Ryerson University, Canada 2LKS Knowledge Institute, Canada 3Friedrich Alexander University, Germany

Posters-Accepted Abstracts: J Phys Chem Biophys

Abstract :

Raman spectroscopy detects individual molecules and is independent of excitation wavelength, using Raman Spectral Libraries and making Raman Spectroscopy a prime candidate for label free sensing and imaging for medical diagnostics at very high specificity and sensitivity (>90%). Raman spectra are very sensitive biochemical markers due to the unique vibrational fingerprint spectra of the tissue. Raman spectroscopy is also very sensitive towards subtle molecular/chemical changes, such as an increased nucleus-to-cytoplasm ratio, disordered chromatin, higher metabolic activity, and changes in lipid and protein levels. We have collected Raman Spectral Libraries for obtaining operator independent diagnostics under ex-vivo and in-vivo conditions and we have tested this approach using multivariate analysis on known solutions with Raman active components. The ultimate successful classification architecture has been formed based on the spectral data multivariate analysis as well as their transformation into prominent features defined as peak location, peak widths and relative peak-peak ratios. This approach is applied for obtaining Raman Spectral Signature for identifying metabolic diseases and anti-cancer chemotherapeutic agents. Emerging technologies such as Surface Enhanced Raman probes will be also discussed.

Biography :

Email: douplik@ryerson.ca