Artigo Acesso aberto Produção Nacional Revisado por pares

LS-SVM: uma nova ferramenta quimiométrica para regressão multivariada. Comparação de modelos de regressão LS-SVM e PLS na quantificação de adulterantes em leite em pó empregando NIR

2007; Brazilian Chemical Society; Volume: 30; Issue: 4 Linguagem: Inglês

10.1590/s0100-40422007000400018

ISSN

1678-7064

Autores

Marco Flôres Ferrão, César Mello, Alessandra Borin, Danilo A. Maretto, Ronei J. Poppi,

Tópico(s)

Advanced Chemical Sensor Technologies

Resumo

POWDERED MILK BY NIR SPECTROSCOPY.Leastsquares support vector machines (LS-SVM) were used as an alternative multivariate calibration method for the simultaneous quantification of some common adulterants found in powdered milk samples, using near-infrared spectroscopy.Excellent models were built using LS-SVM for determining R 2 , RMSECV and RMSEP values.LS-SVMs show superior performance for quantifying starch, whey and sucrose in powdered milk samples in relation to PLSR.This study shows that it is possible to determine precisely the amount of one and two common adulterants simultaneously in powdered milk samples using LS-SVM and NIR spectra.

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