Differentiation of sparkling wines (cava and champagne) according to their mineral content

被引:68
作者
Jos, A
Moreno, I
González, AG
Repetto, G
Cameán, AM
机构
[1] Univ Seville, Fac Farm, Area Toxicol, Dept Bioquim Bromatol Toxicol & Med Legal, E-41012 Seville, Spain
[2] Univ Seville, Dept Quim Analit, Seville, Spain
[3] Inst Nacl Toxicol, Seville 41080, Spain
关键词
cava; champagne; metal content; atomic spectrometry; chemometrics;
D O I
10.1016/j.talanta.2003.11.015
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The metal content of a number of sparkling wines was determined by atomic spectrometry techniques. Al, Ba, Ca, Cu, Fe, K, Mg, Mn, Na, P, Sr and Zn by using inductively coupled plasma atomic emission spectrometry (ICP-AES); Cd, Ni and Pb by graphite furnace atomic absorption spectrometry (GFAAS) and As from hydride generation AAS (HGAAS). Two kinds of sparkling wines were studied with D.O. trademark: cava and champagne. 18 samples of "brut" cava and 17 samples of "brut" champagne of different brands were analyzed following the procedure described in the paper. By using the metal concentrations as chemical descriptors the two classes of samples (cava and champagne) are perfectly discriminated, when applying pattern supervised learning recognition techniques Such as linear discriminant analysis (LDA) and soft independent modeling of class analogie (SIMCA). The number of false positives and negatives were zero, which indicates a remarkable authentication power of the descriptors used. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:377 / 382
页数:6
相关论文
共 23 条
[1]  
ALBANO C, 1978, ANAL CHIM ACTA-COMP, V2, P429
[2]   Multivariate characterisation of beers according to their mineral content [J].
Alcázar, A ;
Pablos, F ;
Martín, MJ ;
González, AG .
TALANTA, 2002, 57 (01) :45-52
[3]   CLUSTER-ANALYSIS [J].
BRATCHELL, N .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1989, 6 (02) :105-125
[4]   Differentiation of Spanish brandies according to their metal content [J].
Cameán, AM ;
Moreno, I ;
López-Artíguez, M ;
Repetto, M ;
González, AG .
TALANTA, 2001, 54 (01) :53-59
[5]  
Danzer K, 1999, AM LAB, V31, P26
[6]   SUPERVISED PATTERN-RECOGNITION - THE IDEAL METHOD [J].
DERDE, MP ;
MASSART, DL .
ANALYTICA CHIMICA ACTA, 1986, 191 :1-16
[7]  
FERNANDEZ PL, 2003, MICROCHIM ACTA, P1
[8]   Holmes, a program for performing Procrustes Transformations [J].
González-Arjona, D ;
López-Pérez, G ;
González, AG .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2001, 57 (02) :133-137
[9]   Adaptation of linear discriminant analysis to second level-pattern recognition classification [J].
González-Arjona, D ;
González, AG .
ANALYTICA CHIMICA ACTA, 1998, 363 (01) :89-95
[10]   Multivariate characterization of wine vinegars from the south of Spain according to their metallic content [J].
Guerrero, MI ;
HercePagliai, C ;
Camean, AM ;
Troncoso, AM ;
Gonzalez, AG .
TALANTA, 1997, 45 (02) :379-386