Chemometric Characterization of Sunflower Seeds

Autores
Monferrere, Gastón Lancelle; Azcarate, Silvana Mariela; Cantarelli, Miguel Ángel; Funes, Israel German Aristoteles; Camiña, José Manuel
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The spectroscopic characterization of different varieties of sunflower seeds based on their oleic acid content is proposed. One hundred fifty samples of sunflower seeds from different places of Argentina were analyzed by near-infrared diffuse reflectance spectroscopy (NIRDRS). Seed samples were grounded and sieved without chemical treatment previous to the analysis. For the characterization, the used multivariate methods were: principal component analysis (PCA), cluster analysis (CA), linear discriminant analysis (LDA), and partial least square discriminant analysis (PLS-DA). By using PCA, CA, and LDA, and from the point of view of varieties of sunflower seeds, 2 groups were differentiated, based on the concentration of oleic acid: a low oleic group, which ranged from 15% to 25% w/w oleic acid; and the other one (mid-high oleic varieties) which ranged from 26% to 90% w/w oleic acid. However, by using the PLS-DA, 3 groups were correctly differentiated based on the concentration of oleic acid: low oleic (from 15% to 25% w/w oleic acid); mid oleic (26% to 76% w/w oleic acid); and high oleic (≥ than 77% w/w oleic acid), demonstrating the high classification ability of this method. This multivariate characterization of sunflower seed varieties did not require chromatographic analysis to generate the matrix of concentrations, and only direct measures of NIRDRS spectra were required. This characterization can be useful to quickly know the variety of sunflower seed in the grain market. © 2012 Institute of Food Technologists®.
Fil: Monferrere, Gastón Lancelle. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura. Departamento de Agrimensura; Argentina
Fil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cantarelli, Miguel Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina
Fil: Funes, Israel German Aristoteles. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue. Laboratorio de Investigaciones Bioquímicas y Químicas del Ambiente | Universidad Nacional del Comahue. Facultad de Ciencias Agrarias. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue. Laboratorio de Investigaciones Bioquímicas y Químicas del Ambiente; Argentina
Fil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
CHEMOMETRIC
INFRARED SPECTROSCOPY
OLEIC ACID
SEEDS
SUNFLOWER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/112823
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/112823
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Chemometric Characterization of Sunflower SeedsMonferrere, Gastón LancelleAzcarate, Silvana MarielaCantarelli, Miguel ÁngelFunes, Israel German AristotelesCamiña, José ManuelCHEMOMETRICINFRARED SPECTROSCOPYOLEIC ACIDSEEDSSUNFLOWERhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The spectroscopic characterization of different varieties of sunflower seeds based on their oleic acid content is proposed. One hundred fifty samples of sunflower seeds from different places of Argentina were analyzed by near-infrared diffuse reflectance spectroscopy (NIRDRS). Seed samples were grounded and sieved without chemical treatment previous to the analysis. For the characterization, the used multivariate methods were: principal component analysis (PCA), cluster analysis (CA), linear discriminant analysis (LDA), and partial least square discriminant analysis (PLS-DA). By using PCA, CA, and LDA, and from the point of view of varieties of sunflower seeds, 2 groups were differentiated, based on the concentration of oleic acid: a low oleic group, which ranged from 15% to 25% w/w oleic acid; and the other one (mid-high oleic varieties) which ranged from 26% to 90% w/w oleic acid. However, by using the PLS-DA, 3 groups were correctly differentiated based on the concentration of oleic acid: low oleic (from 15% to 25% w/w oleic acid); mid oleic (26% to 76% w/w oleic acid); and high oleic (≥ than 77% w/w oleic acid), demonstrating the high classification ability of this method. This multivariate characterization of sunflower seed varieties did not require chromatographic analysis to generate the matrix of concentrations, and only direct measures of NIRDRS spectra were required. This characterization can be useful to quickly know the variety of sunflower seed in the grain market. © 2012 Institute of Food Technologists®.Fil: Monferrere, Gastón Lancelle. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura. Departamento de Agrimensura; ArgentinaFil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cantarelli, Miguel Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; ArgentinaFil: Funes, Israel German Aristoteles. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue. Laboratorio de Investigaciones Bioquímicas y Químicas del Ambiente | Universidad Nacional del Comahue. Facultad de Ciencias Agrarias. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue. Laboratorio de Investigaciones Bioquímicas y Químicas del Ambiente; ArgentinaFil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaWiley Blackwell Publishing, Inc2012-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/112823Monferrere, Gastón Lancelle; Azcarate, Silvana Mariela; Cantarelli, Miguel Ángel; Funes, Israel German Aristoteles; Camiña, José Manuel; Chemometric Characterization of Sunflower Seeds; Wiley Blackwell Publishing, Inc; Journal of Food Science; 77; 9; 9-2012; 1018-10220022-1147CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1750-3841.2012.02881.xinfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1750-3841.2012.02881.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:21Zoai:ri.conicet.gov.ar:11336/112823instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:00:22.25CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Chemometric Characterization of Sunflower Seeds
title Chemometric Characterization of Sunflower Seeds
spellingShingle Chemometric Characterization of Sunflower Seeds
Monferrere, Gastón Lancelle
CHEMOMETRIC
INFRARED SPECTROSCOPY
OLEIC ACID
SEEDS
SUNFLOWER
title_short Chemometric Characterization of Sunflower Seeds
title_full Chemometric Characterization of Sunflower Seeds
title_fullStr Chemometric Characterization of Sunflower Seeds
title_full_unstemmed Chemometric Characterization of Sunflower Seeds
title_sort Chemometric Characterization of Sunflower Seeds
dc.creator.none.fl_str_mv Monferrere, Gastón Lancelle
Azcarate, Silvana Mariela
Cantarelli, Miguel Ángel
Funes, Israel German Aristoteles
Camiña, José Manuel
author Monferrere, Gastón Lancelle
author_facet Monferrere, Gastón Lancelle
Azcarate, Silvana Mariela
Cantarelli, Miguel Ángel
Funes, Israel German Aristoteles
Camiña, José Manuel
author_role author
author2 Azcarate, Silvana Mariela
Cantarelli, Miguel Ángel
Funes, Israel German Aristoteles
Camiña, José Manuel
author2_role author
author
author
author
dc.subject.none.fl_str_mv CHEMOMETRIC
INFRARED SPECTROSCOPY
OLEIC ACID
SEEDS
SUNFLOWER
topic CHEMOMETRIC
INFRARED SPECTROSCOPY
OLEIC ACID
SEEDS
SUNFLOWER
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The spectroscopic characterization of different varieties of sunflower seeds based on their oleic acid content is proposed. One hundred fifty samples of sunflower seeds from different places of Argentina were analyzed by near-infrared diffuse reflectance spectroscopy (NIRDRS). Seed samples were grounded and sieved without chemical treatment previous to the analysis. For the characterization, the used multivariate methods were: principal component analysis (PCA), cluster analysis (CA), linear discriminant analysis (LDA), and partial least square discriminant analysis (PLS-DA). By using PCA, CA, and LDA, and from the point of view of varieties of sunflower seeds, 2 groups were differentiated, based on the concentration of oleic acid: a low oleic group, which ranged from 15% to 25% w/w oleic acid; and the other one (mid-high oleic varieties) which ranged from 26% to 90% w/w oleic acid. However, by using the PLS-DA, 3 groups were correctly differentiated based on the concentration of oleic acid: low oleic (from 15% to 25% w/w oleic acid); mid oleic (26% to 76% w/w oleic acid); and high oleic (≥ than 77% w/w oleic acid), demonstrating the high classification ability of this method. This multivariate characterization of sunflower seed varieties did not require chromatographic analysis to generate the matrix of concentrations, and only direct measures of NIRDRS spectra were required. This characterization can be useful to quickly know the variety of sunflower seed in the grain market. © 2012 Institute of Food Technologists®.
Fil: Monferrere, Gastón Lancelle. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura. Departamento de Agrimensura; Argentina
Fil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cantarelli, Miguel Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina
Fil: Funes, Israel German Aristoteles. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue. Laboratorio de Investigaciones Bioquímicas y Químicas del Ambiente | Universidad Nacional del Comahue. Facultad de Ciencias Agrarias. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue. Laboratorio de Investigaciones Bioquímicas y Químicas del Ambiente; Argentina
Fil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The spectroscopic characterization of different varieties of sunflower seeds based on their oleic acid content is proposed. One hundred fifty samples of sunflower seeds from different places of Argentina were analyzed by near-infrared diffuse reflectance spectroscopy (NIRDRS). Seed samples were grounded and sieved without chemical treatment previous to the analysis. For the characterization, the used multivariate methods were: principal component analysis (PCA), cluster analysis (CA), linear discriminant analysis (LDA), and partial least square discriminant analysis (PLS-DA). By using PCA, CA, and LDA, and from the point of view of varieties of sunflower seeds, 2 groups were differentiated, based on the concentration of oleic acid: a low oleic group, which ranged from 15% to 25% w/w oleic acid; and the other one (mid-high oleic varieties) which ranged from 26% to 90% w/w oleic acid. However, by using the PLS-DA, 3 groups were correctly differentiated based on the concentration of oleic acid: low oleic (from 15% to 25% w/w oleic acid); mid oleic (26% to 76% w/w oleic acid); and high oleic (≥ than 77% w/w oleic acid), demonstrating the high classification ability of this method. This multivariate characterization of sunflower seed varieties did not require chromatographic analysis to generate the matrix of concentrations, and only direct measures of NIRDRS spectra were required. This characterization can be useful to quickly know the variety of sunflower seed in the grain market. © 2012 Institute of Food Technologists®.
publishDate 2012
dc.date.none.fl_str_mv 2012-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/112823
Monferrere, Gastón Lancelle; Azcarate, Silvana Mariela; Cantarelli, Miguel Ángel; Funes, Israel German Aristoteles; Camiña, José Manuel; Chemometric Characterization of Sunflower Seeds; Wiley Blackwell Publishing, Inc; Journal of Food Science; 77; 9; 9-2012; 1018-1022
0022-1147
CONICET Digital
CONICET
url http://hdl.handle.net/11336/112823
identifier_str_mv Monferrere, Gastón Lancelle; Azcarate, Silvana Mariela; Cantarelli, Miguel Ángel; Funes, Israel German Aristoteles; Camiña, José Manuel; Chemometric Characterization of Sunflower Seeds; Wiley Blackwell Publishing, Inc; Journal of Food Science; 77; 9; 9-2012; 1018-1022
0022-1147
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1750-3841.2012.02881.x
info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1750-3841.2012.02881.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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