Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques

This paper describes the determination and evaluation of the major and trace element composition (Al, As, Ba, Ca, Cd, Co, Cu, Fe, K, Mg, Mn, Na, Pb, Sr and Zn) of Sechium edule (Jacq) Swartz fruits collected from four different places of production in Corrientes province, Argentina. Element concen...

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Autores principales: Hidalgo, Melisa Jazmín, Fechner, Diana Corina, Marchevsky, Eduardo Jorge, Pellerano, Roberto Gerardo
Formato: Artículo
Lenguaje:Inglés
Publicado: Elsevier 2021
Materias:
ICP-OES
Mineral composition
Multivariate analysis
Classification
Acceso en línea:http://repositorio.unne.edu.ar/handle/123456789/27954
Aporte de:
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) de Universidad Nacional del Nordeste
id I48-R184-123456789-27954
record_format dspace
spelling I48-R184-123456789-279542025-03-06T11:04:03Z Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques Hidalgo, Melisa Jazmín Fechner, Diana Corina Marchevsky, Eduardo Jorge Pellerano, Roberto Gerardo ICP-OES Mineral composition Multivariate analysis Classification This paper describes the determination and evaluation of the major and trace element composition (Al, As, Ba, Ca, Cd, Co, Cu, Fe, K, Mg, Mn, Na, Pb, Sr and Zn) of Sechium edule (Jacq) Swartz fruits collected from four different places of production in Corrientes province, Argentina. Element concentrations were determined by using inductively coupled plasma optical emission spectrometry (ICP OES) after microwave digestion. The accuracy was confirmed with standard reference material of spinach leaves (NIST, 1570a) and spiking tests. Principal component analysis (PCA), linear discriminant analysis (LDA), knearest neighbors (kNN), partial least square-discriminant analysis (PLS-DA) and support vector machine (SVM) were applied to the results for discriminating the geographical origin of S. edule fruits. Finally, the LDA method was found to perform best with up to 90% accuracy rate based on the following elements: Ca, Ba, Cu, Mn, Na, Sr, and Zn. 2021-05-18T19:34:10Z 2021-05-18T19:34:10Z 2016 Artículo Hidalgo, Melisa Jazmín, et al., 2016. Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques. Food Chemistry. Amsterdam: Elsevier, vol. 210, p. 228-234. ISSN 0308-8146. 0308-8146 http://repositorio.unne.edu.ar/handle/123456789/27954 eng openAccess http://creativecommons.org/licenses/by-nc-nd/2.5/ar/ application/pdf application/pdf Elsevier Food Chemistry, 2016, vol. 210, p. 228-234.
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 ICP-OES
Mineral composition
Multivariate analysis
Classification
spellingShingle ICP-OES
Mineral composition
Multivariate analysis
Classification
Hidalgo, Melisa Jazmín
Fechner, Diana Corina
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques
topic_facet ICP-OES
Mineral composition
Multivariate analysis
Classification
description This paper describes the determination and evaluation of the major and trace element composition (Al, As, Ba, Ca, Cd, Co, Cu, Fe, K, Mg, Mn, Na, Pb, Sr and Zn) of Sechium edule (Jacq) Swartz fruits collected from four different places of production in Corrientes province, Argentina. Element concentrations were determined by using inductively coupled plasma optical emission spectrometry (ICP OES) after microwave digestion. The accuracy was confirmed with standard reference material of spinach leaves (NIST, 1570a) and spiking tests. Principal component analysis (PCA), linear discriminant analysis (LDA), knearest neighbors (kNN), partial least square-discriminant analysis (PLS-DA) and support vector machine (SVM) were applied to the results for discriminating the geographical origin of S. edule fruits. Finally, the LDA method was found to perform best with up to 90% accuracy rate based on the following elements: Ca, Ba, Cu, Mn, Na, Sr, and Zn.
format Artículo
author Hidalgo, Melisa Jazmín
Fechner, Diana Corina
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_facet Hidalgo, Melisa Jazmín
Fechner, Diana Corina
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_sort Hidalgo, Melisa Jazmín
title Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques
title_short Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques
title_full Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques
title_fullStr Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques
title_full_unstemmed Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques
title_sort determining the geographical origin of sechium edule fruits by multielement analysis and advanced chemometric techniques
publisher Elsevier
publishDate 2021
url http://repositorio.unne.edu.ar/handle/123456789/27954
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AT marchevskyeduardojorge determiningthegeographicaloriginofsechiumedulefruitsbymultielementanalysisandadvancedchemometrictechniques
AT pelleranorobertogerardo determiningthegeographicaloriginofsechiumedulefruitsbymultielementanalysisandadvancedchemometrictechniques
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