Multivariate characterisation of beers according to their mineral content

被引：81

作者：

Alcázar, A ^{[1
]}

Pablos, F ^{[1
]}

Martín, MJ ^{[1
]}

González, AG ^{[1
]}

机构：

[1] Univ Seville, Fac Chem, Dept Analyt Chem, E-41012 Seville, Spain

来源：

TALANTA | 2002年 / 57卷 / 01期

关键词：

beer; metals; chemometrics; pattern recognition;

D O I：

10.1016/S0039-9140(01)00670-1

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In the present paper, a study on the characterisation of beer samples according to their mineral content has been carried out. Zn, P, B, Mn, Fe, Mg, Al, Sr, Ca, Ba, Na and K were determined by inductively coupled plasma atomic emission spectrometry (ICP-AES) in 32 beer samples. Lager, dark and low alcoholic content beers were considered. The analysed elements were considered as chemical descriptors in order to apply pattern recognition procedures, including display and supervised learning methods such as linear discriminant analysis and artificial neural networks. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：45 / 52

页数：8

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