Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques

Autores
Villafañe, Roxana Noelia; Hidalgo, Melisa Jazmín; Píccoli, Analía Beatriz; Marchevsky, Eduardo Jorge; Pellerano, Roberto Gerardo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Villafañe, Roxana Noelia. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.
Fil: Villafañe, Roxana Noelia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet San Luis; Argentina.
Fil: Hidalgo, Melisa Jazmín. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura; Argentina.
Fil: Hidalgo, Melisa Jazmín. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.
Fil: Píccoli, Analía Beatriz. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
Fil: Píccoli, Analía Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.
Fil: Marchevsky, Eduardo Jorge. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química San Luis; Argentina.
Fil: Pellerano, Roberto Gerardo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura; Argentina.
Fil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.
The concentrations of 17 non-essential elements (Al, As, Ba, Be, Cd, Ce, Cr, Hg, La, Li, Pb, Sb, Sn, Sr, Th, Ti, and Tl) were determined in brown grain rice samples of two varieties: Fortuna and Largo Fino. The samples were collected from the four main producing regions of Corrientes province (Argentina). Quantitative determinations were performed by inductively coupled plasma mass spectrometry (ICP-MS), using a validated method. The contents of As, Be, Cd, Ce, Cr, Hg, Pb, Sb, Sn, Th, and Tl were very low or not detected in most samples. The non-essential element levels detected were in line with studies conducted in rice from different parts of the world. In order to characterize the influence of geographical origin in the samples, the following classification methods were carried out: linear discriminant analysis (LDA), k-nearest neighbors (k-NN), partial least squares discriminant analysis (PLS-DA), support vector machine (SVM) and random forests (RF). The best performance was obtained by using RF (96%) and SVM (96%). The results reported here showed the variation in the non-essential element profiles in rice grain depending on the geographical origin.
Fuente
Environmental Science and Pollution Research, vol. 25, no. 22, p. 1-6.
Materia
Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
Institución
Universidad Nacional del Nordeste
OAI Identificador
oai:repositorio.unne.edu.ar:123456789/27976
Acceder
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oai_identifier_str oai:repositorio.unne.edu.ar:123456789/27976
network_acronym_str RIUNNE
repository_id_str 4871
network_name_str Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
spelling Non essential element concentrations in brown grain rice : assessment by advanced data mining techniquesVillafañe, Roxana NoeliaHidalgo, Melisa JazmínPíccoli, Analía BeatrizMarchevsky, Eduardo JorgePellerano, Roberto GerardoOryzasativaIcp-MsMineralcontentLdaK-NnPls-daRfSvmFil: Villafañe, Roxana Noelia. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.Fil: Villafañe, Roxana Noelia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet San Luis; Argentina.Fil: Hidalgo, Melisa Jazmín. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura; Argentina.Fil: Hidalgo, Melisa Jazmín. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.Fil: Píccoli, Analía Beatriz. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.Fil: Píccoli, Analía Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.Fil: Marchevsky, Eduardo Jorge. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química San Luis; Argentina.Fil: Pellerano, Roberto Gerardo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura; Argentina.Fil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.The concentrations of 17 non-essential elements (Al, As, Ba, Be, Cd, Ce, Cr, Hg, La, Li, Pb, Sb, Sn, Sr, Th, Ti, and Tl) were determined in brown grain rice samples of two varieties: Fortuna and Largo Fino. The samples were collected from the four main producing regions of Corrientes province (Argentina). Quantitative determinations were performed by inductively coupled plasma mass spectrometry (ICP-MS), using a validated method. The contents of As, Be, Cd, Ce, Cr, Hg, Pb, Sb, Sn, Th, and Tl were very low or not detected in most samples. The non-essential element levels detected were in line with studies conducted in rice from different parts of the world. In order to characterize the influence of geographical origin in the samples, the following classification methods were carried out: linear discriminant analysis (LDA), k-nearest neighbors (k-NN), partial least squares discriminant analysis (PLS-DA), support vector machine (SVM) and random forests (RF). The best performance was obtained by using RF (96%) and SVM (96%). The results reported here showed the variation in the non-essential element profiles in rice grain depending on the geographical origin.Springer2017-04-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfVillafañe, Roxana Noelia, et. al., 2017. Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques. Environmental Science and Pollution Research. Heidelberg: Springer, vol. 25, no. 22, p. 1-6. ISSN 0944-1344.0944-1344http://repositorio.unne.edu.ar/handle/123456789/27976Environmental Science and Pollution Research, vol. 25, no. 22, p. 1-6.reponame:Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)instname:Universidad Nacional del Nordesteenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/Atribución-NoComercial-SinDerivadas 2.5 Argentina2025-09-04T11:14:27Zoai:repositorio.unne.edu.ar:123456789/27976instacron:UNNEInstitucionalhttp://repositorio.unne.edu.ar/Universidad públicaNo correspondehttp://repositorio.unne.edu.ar/oaiososa@bib.unne.edu.ar;sergio.alegria@unne.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:48712025-09-04 11:14:28.707Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordestefalse
dc.title.none.fl_str_mv Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
title Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
spellingShingle Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
Villafañe, Roxana Noelia
Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
title_short Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
title_full Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
title_fullStr Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
title_full_unstemmed Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
title_sort Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
dc.creator.none.fl_str_mv Villafañe, Roxana Noelia
Hidalgo, Melisa Jazmín
Píccoli, Analía Beatriz
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author Villafañe, Roxana Noelia
author_facet Villafañe, Roxana Noelia
Hidalgo, Melisa Jazmín
Píccoli, Analía Beatriz
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_role author
author2 Hidalgo, Melisa Jazmín
Píccoli, Analía Beatriz
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
topic Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
dc.description.none.fl_txt_mv Fil: Villafañe, Roxana Noelia. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.
Fil: Villafañe, Roxana Noelia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet San Luis; Argentina.
Fil: Hidalgo, Melisa Jazmín. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura; Argentina.
Fil: Hidalgo, Melisa Jazmín. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.
Fil: Píccoli, Analía Beatriz. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
Fil: Píccoli, Analía Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.
Fil: Marchevsky, Eduardo Jorge. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química San Luis; Argentina.
Fil: Pellerano, Roberto Gerardo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura; Argentina.
Fil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina.
The concentrations of 17 non-essential elements (Al, As, Ba, Be, Cd, Ce, Cr, Hg, La, Li, Pb, Sb, Sn, Sr, Th, Ti, and Tl) were determined in brown grain rice samples of two varieties: Fortuna and Largo Fino. The samples were collected from the four main producing regions of Corrientes province (Argentina). Quantitative determinations were performed by inductively coupled plasma mass spectrometry (ICP-MS), using a validated method. The contents of As, Be, Cd, Ce, Cr, Hg, Pb, Sb, Sn, Th, and Tl were very low or not detected in most samples. The non-essential element levels detected were in line with studies conducted in rice from different parts of the world. In order to characterize the influence of geographical origin in the samples, the following classification methods were carried out: linear discriminant analysis (LDA), k-nearest neighbors (k-NN), partial least squares discriminant analysis (PLS-DA), support vector machine (SVM) and random forests (RF). The best performance was obtained by using RF (96%) and SVM (96%). The results reported here showed the variation in the non-essential element profiles in rice grain depending on the geographical origin.
description Fil: Villafañe, Roxana Noelia. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química San Luis; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-10
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 Villafañe, Roxana Noelia, et. al., 2017. Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques. Environmental Science and Pollution Research. Heidelberg: Springer, vol. 25, no. 22, p. 1-6. ISSN 0944-1344.
0944-1344
http://repositorio.unne.edu.ar/handle/123456789/27976
identifier_str_mv Villafañe, Roxana Noelia, et. al., 2017. Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques. Environmental Science and Pollution Research. Heidelberg: Springer, vol. 25, no. 22, p. 1-6. ISSN 0944-1344.
0944-1344
url http://repositorio.unne.edu.ar/handle/123456789/27976
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Atribución-NoComercial-SinDerivadas 2.5 Argentina
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Atribución-NoComercial-SinDerivadas 2.5 Argentina
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Environmental Science and Pollution Research, vol. 25, no. 22, p. 1-6.
reponame:Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
instname:Universidad Nacional del Nordeste
reponame_str Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
collection Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
instname_str Universidad Nacional del Nordeste
repository.name.fl_str_mv Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordeste
repository.mail.fl_str_mv ososa@bib.unne.edu.ar;sergio.alegria@unne.edu.ar
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score 12.623145

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