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Abstract
Several physicochemical properties were measured in commercial tequila brands: conductivity, density, pH, sound velocity, viscosity, and refractive index. Physicochemical data were analyzed by Principal Component Analysis (PCA), cluster analysis, and the one-way analysis of variance to identify the quality and authenticity of tequila brands. According to the Principal Component Analysis, the existence of 3 main components was identified, explaining the 87.76% of the total variability of physicochemical measurements. In general, all tequila brands appeared together in the plane of the first two principal components. In the cluster analysis, four groups showing similar characteristics were identified. In particular, one of the clusters contains some tequila brands that are not identified by the Regulatory Council of Tequila and do not meet the quality requirements established in the Mexican Official Standard 006. These tequila brands are characterized by having higher conductivity and density and lower viscosity and refractive index, determined by one-way analysis of variance. Therefore, these economical measurements, PCA, and cluster analysis can be used to determinate the authenticity of a tequila brand.
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Cuadros-Inostroza A, Giavalisco P, Hummel J, Eckardt A, Willmitzer L, Peña-Cortés H. Discrimination of Wine Attributes by Metabolome Analysis. Anal Chem 2010; 82:3573-80. [DOI: 10.1021/ac902678t] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Alvaro Cuadros-Inostroza
- Centro de Biotecnología, Universidad Técnica Federico Santa María, General Bari 699, Valparaiso, Chile, and Max-Planck Institut für molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476-Potsdam-Golm, Germany
| | - Patrick Giavalisco
- Centro de Biotecnología, Universidad Técnica Federico Santa María, General Bari 699, Valparaiso, Chile, and Max-Planck Institut für molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476-Potsdam-Golm, Germany
| | - Jan Hummel
- Centro de Biotecnología, Universidad Técnica Federico Santa María, General Bari 699, Valparaiso, Chile, and Max-Planck Institut für molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476-Potsdam-Golm, Germany
| | - Aenne Eckardt
- Centro de Biotecnología, Universidad Técnica Federico Santa María, General Bari 699, Valparaiso, Chile, and Max-Planck Institut für molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476-Potsdam-Golm, Germany
| | - Lothar Willmitzer
- Centro de Biotecnología, Universidad Técnica Federico Santa María, General Bari 699, Valparaiso, Chile, and Max-Planck Institut für molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476-Potsdam-Golm, Germany
| | - Hugo Peña-Cortés
- Centro de Biotecnología, Universidad Técnica Federico Santa María, General Bari 699, Valparaiso, Chile, and Max-Planck Institut für molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476-Potsdam-Golm, Germany
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