Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques

This study examines the application of chemometric techniques associated with trace element concentrations for origin evaluation of lemon juice samples. Seventy-four lemon juice samples from three different provinces of Argentina were evaluated according to their microelement contents to identify di...

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Detalles Bibliográficos
Autores principales: Gaiad, José Emilio, Hidalgo, Melisa Jazmín, Villafañe, Roxana Noelia, Marchevsky, Eduardo Jorge, Pellerano, Roberto Gerardo
Formato: Artículo
Lenguaje:Inglés
Publicado: Elsevier 2021
Materias:
Citrus limon
Multi-element analysis
Geographical origin
Icp-Ms
Chemometrics
Acceso en línea:http://repositorio.unne.edu.ar/handle/123456789/27975
Aporte de:
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) de Universidad Nacional del Nordeste
id I48-R184-123456789-27975
record_format dspace
spelling I48-R184-123456789-279752025-03-06T11:06:18Z Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques Gaiad, José Emilio Hidalgo, Melisa Jazmín Villafañe, Roxana Noelia Marchevsky, Eduardo Jorge Pellerano, Roberto Gerardo Citrus limon Multi-element analysis Geographical origin Icp-Ms Chemometrics This study examines the application of chemometric techniques associated with trace element concentrations for origin evaluation of lemon juice samples. Seventy-four lemon juice samples from three different provinces of Argentina were evaluated according to their microelement contents to identify differences in patterns of elements in the three provinces. Inductively coupled plasma mass spectrometry (ICP-MS) was used for the determination of twenty-five elements (Ag, Al, As, Ba, Bi, Co, Cr, Cu, Fe, Ga, In, La, Li, Mn, Mo, Ni, Rb, Sb, Sc, Se, Sn, Sr, Tl, V, and Zn). Once the analytical data were collected, supervised pattern recognition techniques were applied to construct classification/discrimination rules to predict the origin of samples on the basis of their profiles of trace elements. Namely, linear discriminant analysis (LDA), partial least square discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), random forest (RF), and support vector machine with radial basis function Kernel (SVM). The results indicated that it was feasible to attribute unknown lemon juice samples to its geographical origin. SVM had better performance compared to RF, k-NN, LDA and PLS-DA, listed in descending order. Eventually, this study verifies that trace element pattern is a powerful geographical indicator when identifying the origin of lemon juice samples by analyzing trace element data with the help of SVM technique. This level of accuracy provides an interesting foundation to propose the combination of trace element contents with SVM technique as a valuable tool to evaluate the geographical origin of lemon juice samples produced in Argentina. 2021-05-26T17:16:24Z 2021-05-26T17:16:24Z 2016-07-02 Artículo Gaiad, Jose Emilio, et.al., 2016. Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques. Microchemical Journal. Ámsterdam: Elsevier, vol. 129, p. 243-248. ISSN 0026-265X. 0026-265X http://repositorio.unne.edu.ar/handle/123456789/27975 eng openAccess http://creativecommons.org/licenses/by-nc-nd/2.5/ar/ application/pdf application/pdf Elsevier Microchemical Journal, 2016, vol. 129, p. 243-248.
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 Citrus limon
Multi-element analysis
Geographical origin
Icp-Ms
Chemometrics
spellingShingle Citrus limon
Multi-element analysis
Geographical origin
Icp-Ms
Chemometrics
Gaiad, José Emilio
Hidalgo, Melisa Jazmín
Villafañe, Roxana Noelia
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques
topic_facet Citrus limon
Multi-element analysis
Geographical origin
Icp-Ms
Chemometrics
description This study examines the application of chemometric techniques associated with trace element concentrations for origin evaluation of lemon juice samples. Seventy-four lemon juice samples from three different provinces of Argentina were evaluated according to their microelement contents to identify differences in patterns of elements in the three provinces. Inductively coupled plasma mass spectrometry (ICP-MS) was used for the determination of twenty-five elements (Ag, Al, As, Ba, Bi, Co, Cr, Cu, Fe, Ga, In, La, Li, Mn, Mo, Ni, Rb, Sb, Sc, Se, Sn, Sr, Tl, V, and Zn). Once the analytical data were collected, supervised pattern recognition techniques were applied to construct classification/discrimination rules to predict the origin of samples on the basis of their profiles of trace elements. Namely, linear discriminant analysis (LDA), partial least square discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), random forest (RF), and support vector machine with radial basis function Kernel (SVM). The results indicated that it was feasible to attribute unknown lemon juice samples to its geographical origin. SVM had better performance compared to RF, k-NN, LDA and PLS-DA, listed in descending order. Eventually, this study verifies that trace element pattern is a powerful geographical indicator when identifying the origin of lemon juice samples by analyzing trace element data with the help of SVM technique. This level of accuracy provides an interesting foundation to propose the combination of trace element contents with SVM technique as a valuable tool to evaluate the geographical origin of lemon juice samples produced in Argentina.
format Artículo
author Gaiad, José Emilio
Hidalgo, Melisa Jazmín
Villafañe, Roxana Noelia
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_facet Gaiad, José Emilio
Hidalgo, Melisa Jazmín
Villafañe, Roxana Noelia
Marchevsky, Eduardo Jorge
Pellerano, Roberto Gerardo
author_sort Gaiad, José Emilio
title Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques
title_short Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques
title_full Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques
title_fullStr Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques
title_full_unstemmed Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques
title_sort tracing the geographical origin of argentinean lemon juices based on trace element profiles using advanced chemometric techniques
publisher Elsevier
publishDate 2021
url http://repositorio.unne.edu.ar/handle/123456789/27975
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