Elemental analysis for categorization of wines and authentication of their certified brand of origin

被引:81
|
作者
Rodrigues, Sonia M. [1 ,2 ]
Otero, Marta [1 ,2 ]
Alves, Andre A. [3 ]
Coimbra, Joana [3 ]
Coimbra, Manuel A. [2 ,4 ]
Pereira, Eduarda [1 ,2 ]
Duarte, Armando C. [1 ,2 ]
机构
[1] Univ Aveiro, CESAM, P-3810193 Aveiro, Portugal
[2] Univ Aveiro, Dept Chem, P-3810193 Aveiro, Portugal
[3] Univ Aveiro, LCA, P-3810193 Aveiro, Portugal
[4] Univ Aveiro, QOPNA, P-3810193 Aveiro, Portugal
关键词
Red wine; White wine; ICP-MS; Multi-element analysis; Appellation of origin; Certified brand of origin (CBO); Food analysis; Food composition; LEAD-ISOTOPE RATIOS; PLASMA-MASS SPECTROMETRY; ICP-MS; MULTIELEMENT ANALYSIS; TRACE-ELEMENTS; GEOGRAPHICAL ORIGIN; WHITE WINES; CLASSIFICATION; METALS; PATTERN;
D O I
10.1016/j.jfca.2010.12.003
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
An inductively coupled plasma mass spectrometry (ICP-MS) methodology was validated and used for accurately determining the concentration of 17 elements (Al, As, B, Ba, Ca, Co, Cu, Fe, K, Mg, Mn, Na, Ni, P, Pb, Sr, Zn) in Portuguese wines. This study allowed determining the relationships between element concentration and two variables: wine type (white vs. red) and appellation of origin ("Alentejo", "Bairrada", "Dao", or "Vinho Verde"). Boron made it possible to distinguish among red wines from different producing regions. Factor analysis produced four components (C) with different elements main loading: Cl (the lithophile elements Ba, Mg and Mn): C2 (B, K, and P. elements related to fertilization practices and/or winemaking procedures); C3 (Zn, a metal mainly derived from the use of phytosanitary products and/or stainless steel or brass materials); and C4 (As, mainly derived from phytosanitary products). In total, these components explained 78.1% of the variance between wine type and Appellation. Red wines showed higher scores of C2 than white samples. With respect to the Appellation, "Bairrada" had the highest scores for C2 while "Alentejo" wines, followed by "Dao", showed highest loadings for C1. Discriminant analysis also achieved a high recognition percentage (98.2%) for the classification of wine samples according to appellation of origin. These results highlight the usefulness of ICP-MS elemental analysis for categorization of wine origin and show that this is a promising technique regarding the authentication of wine certified brand of origin (CBO). (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:548 / 562
页数:15
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