Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples

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....

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Autores principales:	Cozzolino,Daniel, Restaino,Ernesto, La Manna,Alejandro, Fernandez,Enrique, Fassio,Alberto
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2009
Materias:	Fishmeal Glycine max meat meal near infrared principal component analysis spectroscopy soya meal
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000200005
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spelling	oai:scielo:S0718-162020090002000052009-09-01Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samplesCozzolino,DanielRestaino,ErnestoLa Manna,AlejandroFernandez,EnriqueFassio,Alberto Fishmeal Glycine max meat meal near infrared principal component analysis spectroscopy soya meal 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 method to classify fishmeal, meat meal and soya meal samples. NIR spectroscopic methods can be easily implemented in food miles and may be most useful for initial screening at early stages in the food production chain, enabling more costly methods to be used selectively for suspected specimens.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.36 n.2 20092009-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000200005en10.4067/S0718-16202009000200005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Fishmeal Glycine max meat meal near infrared principal component analysis spectroscopy soya meal
spellingShingle	Fishmeal Glycine max meat meal near infrared principal component analysis spectroscopy soya meal Cozzolino,Daniel Restaino,Ernesto La Manna,Alejandro Fernandez,Enrique Fassio,Alberto Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
description	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 method to classify fishmeal, meat meal and soya meal samples. NIR spectroscopic methods can be easily implemented in food miles and may be most useful for initial screening at early stages in the food production chain, enabling more costly methods to be used selectively for suspected specimens.
author	Cozzolino,Daniel Restaino,Ernesto La Manna,Alejandro Fernandez,Enrique Fassio,Alberto
author_facet	Cozzolino,Daniel Restaino,Ernesto La Manna,Alejandro Fernandez,Enrique Fassio,Alberto
author_sort	Cozzolino,Daniel
title	Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
title_short	Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
title_full	Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
title_fullStr	Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
title_full_unstemmed	Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
title_sort	usefulness of near infrared reflectance (nir) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000200005
work_keys_str_mv	AT cozzolinodaniel usefulnessofnearinfraredreflectancenirspectroscopyandchemometricstodiscriminatebetweenfishmealmeatmealandsoyamealsamples AT restainoernesto usefulnessofnearinfraredreflectancenirspectroscopyandchemometricstodiscriminatebetweenfishmealmeatmealandsoyamealsamples AT lamannaalejandro usefulnessofnearinfraredreflectancenirspectroscopyandchemometricstodiscriminatebetweenfishmealmeatmealandsoyamealsamples AT fernandezenrique usefulnessofnearinfraredreflectancenirspectroscopyandchemometricstodiscriminatebetweenfishmealmeatmealandsoyamealsamples AT fassioalberto usefulnessofnearinfraredreflectancenirspectroscopyandchemometricstodiscriminatebetweenfishmealmeatmealandsoyamealsamples
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Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples

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