OPTIMIZATION AND ANALYSIS OF PROTEINOGENIC AMINO ACIDS USING IN-SITU SURFACE-ENHANCED RAMAN SPECTROSCOPY (SERS) AND CONVENTIONAL RAMAN SPECTROSCOPY
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Raman spectroscopy has been a promising testing and imaging technique that has very wide range of applications, including molecular chemistry, medical science and physics. Direct testing and measurement of compounds using conventional Raman spectroscopy is dramatically developing. However, existing techniques using conventional Raman spectroscopy are facing challenges related to stability and intensity of signals and Raman shifts. Here, in our work, we study a strategy and technique using surface-enhanced Raman spectroscopy(SERS), more specially, using gold nanosubstrates, to test different proteinogenic amino acids. In this work, we compare SERS results to the corresponding conventional Raman ones in stability, intensity and characteristic peak aspect. Next, quantitative analysis using partial leastsquare multivariate modeling is presented using IC Raman functions. We make prediction values of concentrations of all data set and compare with actual concentrations, based on our PLS model. From this study, we find that SERS using gold nanosubstrates has a great prospect of testing and measuring concentrations of compounds. We anticipate that SERS and Raman spectroscopy have a great potential to become a reliable measuring tool for wide range of scientific studies.