Comparison between Least-Square support vector machines and linear methods for calibration transfer / Comparação entre maquinas de vetores de suporte por minimos quadrados (LS-SVM) e metodos lineares para transferencia de calibração

AUTOR(ES)

Danilo Althmann Maretto

DATA DE PUBLICAÇÃO

2007

RESUMO

The aim of this work was to compare the linear methods of calibration “Partial Least Squares” (PLS) and “Piece-wise Direct Standardization” (PDS) and a nonlinear method “Least-Squares Support Vector Machines” (LS-SVM) on calibration transfer to multivariate calibration models to the determination of alcoholic grade in cachaça in five different temperatures and to determination of protein and fat content in dog food in three different particule sizes by using near infrared spectroscopy. It has been prepared 50 cachaça samples between 20.86 and 46.48% v/v through dilution with Milli-Q water or adding etanol P.A.(Merck) to the original cachaça. The alcoholic grade has been obtained through a Anton Paar DMA 4500 digital densimeter and the spectra in five different temperatures (15, 20, 25, 30 and 35ºC) has been obtained between 850 and 1050 nm in a Agilent 8453 equipament. The 38 grinded dog food samples were supplied by Nutron Alimentos Ltda wich has realized the standard tests to determination of protein and fat mass porcentage in them. The samples have been bolted, been divided in three groups with different particle sizes. The spectra have been obtained to all the particle groups of all samples between 100 and 24000 nm in a Varian Cary 5G equipament. It has been done four different proposals to do the calibration transfer to each one of the three applications (etanol grade in cachaça, and protein and fat in dog food). In the most of them LS-SVM has gotten better adjusted models.

ASSUNTO(S)

dog food ls-svm cachaça ração ls-svm calibration calibração cachaça

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