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

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 (Argen...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Villafañe, Roxana Noelia, Hidalgo, Melisa Jazmín, Píccoli, Analía Beatriz, Marchevsky, Eduardo Jorge, Pellerano, Roberto Gerardo
Formato: Artículo
Lenguaje:Inglés
Publicado: Springer 2021
Materias:
Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
Acceso en línea:http://repositorio.unne.edu.ar/handle/123456789/27976
Aporte de:
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) de Universidad Nacional del Nordeste
id I48-R184-123456789-27976
record_format dspace
spelling I48-R184-123456789-279762025-03-06T11:08:26Z Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques Villafañe, Roxana Noelia Hidalgo, Melisa Jazmín Píccoli, Analía Beatriz Marchevsky, Eduardo Jorge Pellerano, Roberto Gerardo Oryzasativa Icp-Ms Mineralcontent Lda K-Nn Pls-da Rf Svm 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. 2021-05-26T17:18:32Z 2021-05-26T17:18:32Z 2017-04-10 Artículo 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 eng openAccess http://creativecommons.org/licenses/by-nc-nd/2.5/ar/ application/pdf application/pdf Springer Environmental Science and Pollution Research, vol. 25, no. 22, p. 1-6.
institution Universidad Nacional del Nordeste
institution_str I-48
repository_str R-184
collection RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
language Inglés
topic Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
spellingShingle Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
Villafañe, Roxana Noelia
Hidalgo, Melisa Jazmín
Píccoli, Analía Beatriz
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
topic_facet Oryzasativa
Icp-Ms
Mineralcontent
Lda
K-Nn
Pls-da
Rf
Svm
description 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.
format Artículo
author Villafañe, Roxana Noelia
Hidalgo, Melisa Jazmín
Píccoli, Analía Beatriz
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_facet Villafañe, Roxana Noelia
Hidalgo, Melisa Jazmín
Píccoli, Analía Beatriz
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_sort Villafañe, Roxana Noelia
title Non essential element concentrations in brown grain rice : assessment by advanced data mining techniques
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
publisher Springer
publishDate 2021
url http://repositorio.unne.edu.ar/handle/123456789/27976
work_keys_str_mv AT villafaneroxananoelia nonessentialelementconcentrationsinbrowngrainriceassessmentbyadvanceddataminingtechniques
AT hidalgomelisajazmin nonessentialelementconcentrationsinbrowngrainriceassessmentbyadvanceddataminingtechniques
AT piccolianaliabeatriz nonessentialelementconcentrationsinbrowngrainriceassessmentbyadvanceddataminingtechniques
AT marchevskyeduardojorge nonessentialelementconcentrationsinbrowngrainriceassessmentbyadvanceddataminingtechniques
AT pelleranorobertogerardo nonessentialelementconcentrationsinbrowngrainriceassessmentbyadvanceddataminingtechniques
_version_ 1832345753128796160

Ejemplares similares