Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics
Abstract The 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 previ...
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| Lenguaje: | English |
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Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
2018
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| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202018000200181 |
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oai:scielo:S0718-162020180002001812018-09-24Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statisticsMirabal-Gallardo,YanerisCaroca-Herrera,María A.Muñoz,LuisMeneses,MacarenaLaurie,V. Felipe AAS classification element ICP-MS metal multivariate statistics wine Abstract The 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.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.45 n.2 20182018-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202018000200181en10.7764/rcia.v45i2.1883 |
| institution |
Scielo Chile |
| collection |
Scielo Chile |
| language |
English |
| topic |
AAS classification element ICP-MS metal multivariate statistics wine |
| spellingShingle |
AAS classification element ICP-MS metal multivariate statistics wine Mirabal-Gallardo,Yaneris Caroca-Herrera,María A. Muñoz,Luis Meneses,Macarena Laurie,V. Felipe Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics |
| description |
Abstract The 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. |
| author |
Mirabal-Gallardo,Yaneris Caroca-Herrera,María A. Muñoz,Luis Meneses,Macarena Laurie,V. Felipe |
| author_facet |
Mirabal-Gallardo,Yaneris Caroca-Herrera,María A. Muñoz,Luis Meneses,Macarena Laurie,V. Felipe |
| author_sort |
Mirabal-Gallardo,Yaneris |
| title |
Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics |
| title_short |
Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics |
| title_full |
Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics |
| title_fullStr |
Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics |
| title_full_unstemmed |
Multi-element analysis and differentiation of Chilean wines using mineral composition and multivariate statistics |
| title_sort |
multi-element analysis and differentiation of chilean wines using mineral composition and multivariate statistics |
| publisher |
Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal |
| publishDate |
2018 |
| url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202018000200181 |
| work_keys_str_mv |
AT mirabalgallardoyaneris multielementanalysisanddifferentiationofchileanwinesusingmineralcompositionandmultivariatestatistics AT carocaherreramariaa multielementanalysisanddifferentiationofchileanwinesusingmineralcompositionandmultivariatestatistics AT munozluis multielementanalysisanddifferentiationofchileanwinesusingmineralcompositionandmultivariatestatistics AT menesesmacarena multielementanalysisanddifferentiationofchileanwinesusingmineralcompositionandmultivariatestatistics AT laurievfelipe multielementanalysisanddifferentiationofchileanwinesusingmineralcompositionandmultivariatestatistics |
| _version_ |
1714202183379976192 |