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Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples Ciencia e Investigación Agraria
Cozzolino,Daniel; Restaino,Ernesto; La Manna,Alejandro; Fernandez,Enrique; Fassio,Alberto.
Near infrared reflectance (NIR) spectroscopy was used in combination with chemometrics to discriminate between fishmeal, meat meal and soya meal samples. Samples were obtained from commercial feed miles and scanned in the NIR region (1100 - 2500 nm) in a monochromatic instrument in reflectance mode. Principal component analysis (PCA) and linear discriminant analysis were used to classify samples based on their NIR spectra. Full cross-validation was used in the development of classification models. Partial least squares-discriminant analysis (PLS-DA) correctly classified 85.7% of the fishmeal samples and 100% of the meat meal and soya meal samples. These results demonstrate the usefulness of NIR spectra combined with chemometrics as an objective and rapid...
Tipo: Journal article Palavras-chave: Fishmeal; Glycine max; Meat meal; Near infrared; Principal component analysis; Spectroscopy; Soya meal.
Ano: 2009 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000200005
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