Desenvolvimento de tecnicas quimiometricas de compressão de dados e deredução de ruido instrumental aplicadas a oleo diesel e madeira de eucalipto usando espectroscopia NIR

TL;DRAbstract

This work describes two techniques for spectral variable and sample selection based on the Successive Projections Algorithm (SPA), aiming the construction of multivariate regression models.Also, the wavelet transform was employed to solve problems related to noise reduction associated with spectroscopic data in the near infrared spectral region (NIR), and employed in the construction of multivariate calibration models based in Linear Multiple Regression (LMR) to estimate the quality parameters of diesel fuel and eucalyptus wood.The NIR transmission spectra for diesel samples and the reflectance spectra obtained for wood samples were acquired by using a NIR-Bomen equipment with AsGaIn detector.For application in diesel, the following spectral regions have been investigated: 850 -1100 nm, 1100 -1570 nm and 1570 -2500 nm.For wood samples the spectral region employed was from 1100 -2500 nm.The results obtained by using the variable selection techniques and LMR demonstrate their simplicity

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