NMR and multivariate data analysis to assess traceability of argentine citrus

Autores
Salazar, Mario Oscar; Pisano, Pablo Luis; González Sierra, Manuel; Furlan, Ricardo Luis Eugenio
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Argentine citrus industry stands out among the top ten largest producers of citrus of the world. Traceability is a key point of the quality control in the international trade context. Discrimination between orange juices produced from different geographical regions in Argentina (San Pedro and Entre Ríos), has been achieved by applying principal components analysis (PCA) and partial least-squares – discriminant analysis (PLS–DA) to 1H NMR spectra of the juices. Different regions of the spectra were analyzed in view of the large range of signal intensities and the chemometric treatment of the NMR data has successfully distinguished the juice of different origins/varieties, as well as the metabolites responsible for their separation. Examination of the PCA loadings showed that citric acid and ethanol levels were the main chemical variables for sample discrimination.
Fil: Salazar, Mario Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario. Universidad Nacional de Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario; Argentina
Fil: Pisano, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: González Sierra, Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Furlan, Ricardo Luis Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario. Universidad Nacional de Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario; Argentina
Materia
ICOSHIFT ALGORITHM
NUCLEAR MAGNETIC RESONANCE
ORANGE DISCRIMINATION
PARTIAL LEAST-SQUARES – DISCRIMINANT ANALYSIS
PRINCIPAL COMPONENT ANALYSIS
QUALITY CONTROL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/88956
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/88956
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling NMR and multivariate data analysis to assess traceability of argentine citrusSalazar, Mario OscarPisano, Pablo LuisGonzález Sierra, ManuelFurlan, Ricardo Luis EugenioICOSHIFT ALGORITHMNUCLEAR MAGNETIC RESONANCEORANGE DISCRIMINATIONPARTIAL LEAST-SQUARES – DISCRIMINANT ANALYSISPRINCIPAL COMPONENT ANALYSISQUALITY CONTROLhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Argentine citrus industry stands out among the top ten largest producers of citrus of the world. Traceability is a key point of the quality control in the international trade context. Discrimination between orange juices produced from different geographical regions in Argentina (San Pedro and Entre Ríos), has been achieved by applying principal components analysis (PCA) and partial least-squares – discriminant analysis (PLS–DA) to 1H NMR spectra of the juices. Different regions of the spectra were analyzed in view of the large range of signal intensities and the chemometric treatment of the NMR data has successfully distinguished the juice of different origins/varieties, as well as the metabolites responsible for their separation. Examination of the PCA loadings showed that citric acid and ethanol levels were the main chemical variables for sample discrimination.Fil: Salazar, Mario Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario. Universidad Nacional de Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario; ArgentinaFil: Pisano, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: González Sierra, Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: Furlan, Ricardo Luis Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario. Universidad Nacional de Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario; ArgentinaElsevier Science2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88956Salazar, Mario Oscar; Pisano, Pablo Luis; González Sierra, Manuel; Furlan, Ricardo Luis Eugenio; NMR and multivariate data analysis to assess traceability of argentine citrus; Elsevier Science; Microchemical Journal; 141; 9-2018; 264-2700026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X18301590info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2018.05.037info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:20Zoai:ri.conicet.gov.ar:11336/88956instacron: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:34982025-09-29 09:39:20.368CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv NMR and multivariate data analysis to assess traceability of argentine citrus
title NMR and multivariate data analysis to assess traceability of argentine citrus
spellingShingle NMR and multivariate data analysis to assess traceability of argentine citrus
Salazar, Mario Oscar
ICOSHIFT ALGORITHM
NUCLEAR MAGNETIC RESONANCE
ORANGE DISCRIMINATION
PARTIAL LEAST-SQUARES – DISCRIMINANT ANALYSIS
PRINCIPAL COMPONENT ANALYSIS
QUALITY CONTROL
title_short NMR and multivariate data analysis to assess traceability of argentine citrus
title_full NMR and multivariate data analysis to assess traceability of argentine citrus
title_fullStr NMR and multivariate data analysis to assess traceability of argentine citrus
title_full_unstemmed NMR and multivariate data analysis to assess traceability of argentine citrus
title_sort NMR and multivariate data analysis to assess traceability of argentine citrus
dc.creator.none.fl_str_mv Salazar, Mario Oscar
Pisano, Pablo Luis
González Sierra, Manuel
Furlan, Ricardo Luis Eugenio
author Salazar, Mario Oscar
author_facet Salazar, Mario Oscar
Pisano, Pablo Luis
González Sierra, Manuel
Furlan, Ricardo Luis Eugenio
author_role author
author2 Pisano, Pablo Luis
González Sierra, Manuel
Furlan, Ricardo Luis Eugenio
author2_role author
author
author
dc.subject.none.fl_str_mv ICOSHIFT ALGORITHM
NUCLEAR MAGNETIC RESONANCE
ORANGE DISCRIMINATION
PARTIAL LEAST-SQUARES – DISCRIMINANT ANALYSIS
PRINCIPAL COMPONENT ANALYSIS
QUALITY CONTROL
topic ICOSHIFT ALGORITHM
NUCLEAR MAGNETIC RESONANCE
ORANGE DISCRIMINATION
PARTIAL LEAST-SQUARES – DISCRIMINANT ANALYSIS
PRINCIPAL COMPONENT ANALYSIS
QUALITY CONTROL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Argentine citrus industry stands out among the top ten largest producers of citrus of the world. Traceability is a key point of the quality control in the international trade context. Discrimination between orange juices produced from different geographical regions in Argentina (San Pedro and Entre Ríos), has been achieved by applying principal components analysis (PCA) and partial least-squares – discriminant analysis (PLS–DA) to 1H NMR spectra of the juices. Different regions of the spectra were analyzed in view of the large range of signal intensities and the chemometric treatment of the NMR data has successfully distinguished the juice of different origins/varieties, as well as the metabolites responsible for their separation. Examination of the PCA loadings showed that citric acid and ethanol levels were the main chemical variables for sample discrimination.
Fil: Salazar, Mario Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario. Universidad Nacional de Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario; Argentina
Fil: Pisano, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: González Sierra, Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Furlan, Ricardo Luis Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario. Universidad Nacional de Rosario. Instituto de Investigaciones para el Descubrimiento de Fármacos de Rosario; Argentina
description Argentine citrus industry stands out among the top ten largest producers of citrus of the world. Traceability is a key point of the quality control in the international trade context. Discrimination between orange juices produced from different geographical regions in Argentina (San Pedro and Entre Ríos), has been achieved by applying principal components analysis (PCA) and partial least-squares – discriminant analysis (PLS–DA) to 1H NMR spectra of the juices. Different regions of the spectra were analyzed in view of the large range of signal intensities and the chemometric treatment of the NMR data has successfully distinguished the juice of different origins/varieties, as well as the metabolites responsible for their separation. Examination of the PCA loadings showed that citric acid and ethanol levels were the main chemical variables for sample discrimination.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
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/11336/88956
Salazar, Mario Oscar; Pisano, Pablo Luis; González Sierra, Manuel; Furlan, Ricardo Luis Eugenio; NMR and multivariate data analysis to assess traceability of argentine citrus; Elsevier Science; Microchemical Journal; 141; 9-2018; 264-270
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/88956
identifier_str_mv Salazar, Mario Oscar; Pisano, Pablo Luis; González Sierra, Manuel; Furlan, Ricardo Luis Eugenio; NMR and multivariate data analysis to assess traceability of argentine citrus; Elsevier Science; Microchemical Journal; 141; 9-2018; 264-270
0026-265X
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://www.sciencedirect.com/science/article/pii/S0026265X18301590
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2018.05.037
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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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score 13.070432

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