Análise exploratória de espectros no infravermelho de formulações comerciais contendo glibenclamida compactados por transformadas wavelets.

Abstract

The present work proposes a method with the aim to identify the presence of the active ingredient glibenclamide, by using Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) and Fourier Transform Infrared Spectroscopy with Attenuated Total Reflectance (FTIR/ATR), techniques to the Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) of multivariate analysis and methods such as Discrete Wavelet Transform (DWT). Twelve commercial samples were analyzed containing glibenclamide, one commercial sample containing glibenclamide and metformin hydrochloride and one commercial sample containing only metformin hydrochloride, being these twelve samples of national origin and two of Argentinean origin. The samples were distinct regarding to the manufacturer, lot and classification. The Discrete Wavelet Transform (DWT) was used to compact the spectra of the drugs, in order to make the data analysis easier. On the other hand, the metric and statistic methods were used on the classification and spectra comparison, which were identified according to the presence or not of the active ingredient glibenclamide. These compact spectra were processed through applications distributed in communication architectures to evaluate the suitability to use networks-on-chip on the processing, with the aim to improve the computer performance, as well as the power consumption, having in mind the perspective of developing a movable equipment of spectrum evaluation. The results obtained showed to be promising.