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dc.contributor.author
Hidalgo, Melisa Jazmin
dc.contributor.author
Fechner, Diana Corina
dc.contributor.author
Ballabio, Davide
dc.contributor.author
Marchevsky, Eduardo Jorge
dc.contributor.author
Pellerano, Roberto Gerardo
dc.date.available
2021-07-15T12:52:28Z
dc.date.issued
2020-06
dc.identifier.citation
Hidalgo, Melisa Jazmin; Fechner, Diana Corina; Ballabio, Davide; Marchevsky, Eduardo Jorge; Pellerano, Roberto Gerardo; Traceability of soybeans produced in Argentina based on their trace element profiles; John Wiley & Sons Ltd; Journal of Chemometrics; 34; 12; 6-2020; 1-10
dc.identifier.issn
0886-9383
dc.identifier.uri
http://hdl.handle.net/11336/136189
dc.description.abstract
Soybean (Glycine max (L.) Merril) is a popular foodstuff and crop plant, used in human and animal food. In this work, multielement analysis of soybean grains samples in combination with chemometric tools was used to classify the geographical origins. For this purpose, 120 samples from three provinces of Argentina were analyzed for a panel of 20 trace elements by inductively coupled plasma mass spectrometry. First, we used principal component analysis for exploratory analysis. Then, supervised classification techniques such as support vector machine (SMV) discriminant analysis (SVM-DA), random forest, k-nearest neighbors, and class-modeling techniques such as soft independent modeling of class analogy (SIMCA), potential functions, and one-class SVM were applied as tools to establish a model of origin of samples. The performance of the techniques was compared using global indexes. Among all the models tested, SVM and SIMCA showed the highest percentages in terms of prediction ability in cross-validation with average values of 99.3% for SVM-DA and a median value of balanced accuracy of 96.0%, 91.7%, and 88.3% for the three origins using SIMCA. Results suggested that the developed methodology by chemometric techniques is robust and reliable for the geographical classification of soybean samples from Argentina.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Ltd
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CLASS-MODELING TECHNIQUES
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GEOGRAPHICAL ORIGIN
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SOYBEAN GRAINS
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Química Analítica
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Ciencias Químicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Traceability of soybeans produced in Argentina based on their trace element profiles
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-07-21T20:18:52Z
dc.journal.volume
34
dc.journal.number
12
dc.journal.pagination
1-10
dc.journal.pais
Reino Unido
dc.journal.ciudad
LOndres
dc.description.fil
Fil: Hidalgo, Melisa Jazmin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
dc.description.fil
Fil: Fechner, Diana Corina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
dc.description.fil
Fil: Ballabio, Davide. Università degli Studi di Milano; Italia
dc.description.fil
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
dc.description.fil
Fil: Pellerano, Roberto Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
dc.journal.title
Journal of Chemometrics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/cem.3252
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/cem.3252
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