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Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics [Análisis y diferenciación de vinos Chilenos empleando su composición de elementos metálicos y técnicas de estadística multivariada]

dc.contributor.authorMirabal-Gallardo Y.
dc.contributor.authorCaroca-Herrera M.A.
dc.contributor.authorMuñoz L.
dc.contributor.authorMeneses M.
dc.contributor.authorLaurie V.F.
dc.date.accessioned2020-09-02T22:23:01Z
dc.date.available2020-09-02T22:23:01Z
dc.date.issued2018
dc.identifier10.7764/rcia.v45i2.1883
dc.identifier.citation45, 2, 181-191
dc.identifier.issn03045609
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5339
dc.descriptionThe concentration of seventeen metal elements was analyzed in 130 commercial samples of Chilean wines, using flame atomic absorption spectroscopy (AAS) and inductively coupled plasma–mass spectrometry (ICP-MS). The elements analyzed were within the usual concentration ranges previously reported in other wine regions (for example: Fe, 2.08 ± 0.99 mgL-1; Zn, 0.71 ± 0.44 mg L-1; K, 788± 219 mg L-1; and Na, 14.62 ± 8.6 mg L-1). When the metal content of the samples was compared among geographic areas, significant differences in the concentration of K, Na, Mn, Mg, Zn, and Cr were observed (p ≤ 0.05). Moreover, principal component and linear discriminant analyses, used to discriminate wines according to geographic area, obtained adjustments above 90% for white wines and over 70% for red wines. © 2018, Pontificia Universidad Catolica de Chile, Facultad de Agronomia e Ingenieria Forestal. All rights reserved.
dc.language.isoen
dc.publisherPontificia Universidad Catolica de Chile, Facultad de Agronomia e Ingenieria Forestal
dc.subjectAAS
dc.subjectClassification
dc.subjectElement
dc.subjectICP-MS
dc.subjectMetal
dc.subjectMultivariate statistics
dc.subjectWine
dc.titleMulti-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics [Análisis y diferenciación de vinos Chilenos empleando su composición de elementos metálicos y técnicas de estadística multivariada]
dc.typeArticle


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