Raman spectroscopy has been used in pharmaceutical analysis in recent decades due to advances in this technique, related to the development of electronic, optics and fundamental studies. Some problems related with the analysis of substances using classical methods have been achieved with high accuracy and good levels of selectivity by using of surface enhanced Raman spectroscopy. Due to some advantages such as the signal amplification and fast data acquisition, SERS has become a useful analytical tool in the quantification of active ingredients, contaminants detection and in many others sciences. The aim of this work is to build calibration models to ibuprofen, indomethacin and benzydamine and quantify these analytes in comercial products using SERS. The silver nanoparticles will be produced using filter paper as substrate being evaluate the substrate pretreatment and 1064 and 785 1/cm lasers in Raman analyses. The data set will be analyzed by use of chemometric tools, such as partial least squares (PLS), principal component regression (PCR), multivariate curve resolution by alternating least squares (MCR-ALS) and principal component analysis (PCA). The results will be evaluated by cross validation and external validation.
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