Fourier transform near-infrared spectroscopy (FT-NIRS) application to estimate Brazilian soybean [Glycine max (L.) Merril] composition

This study examined the ability of near-infrared reflectance spectroscopy method (FT-NIRS) and multivariate calibration to estimate the concentration of moisture, protein, lipid, ash and carbohydrate of Brazilian soybeans. The spectra obtained in the range of 4000 to 10,000cm−1 were preprocessed by...

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Veröffentlicht in:	Food research international 2013-04, Vol.51 (1), p.53-58
Hauptverfasser:	Ferreira, Daniela Souza, Pallone, Juliana Azevedo Lima, Poppi, Ronei Jesus
Format:	Artikel
Sprache:	eng
Schlagworte:	Ashes Biological and medical sciences Brazil Calibration carbohydrates Composition analysis Estimates Food industries Fruit and vegetable industries Fundamental and applied biological sciences. Psychology Glycine max least squares Lipids Mathematical analysis Mathematical models Multivariate data analysis Near-infrared reflectance spectroscopy near-infrared spectroscopy Soybean Soybeans viability
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