Interpretation of heavy metal data from mussel by use of multivariate classification techniques

被引：7

作者：

Mesa, LM ^{[1
]}

Méndez, EP ^{[1
]}

Sánchez, MS ^{[1
]}

Montelongo, FG ^{[1
]}

机构：

[1] Univ La Laguna, Dept Analyt Chem Nutr & Food Sci, Tenerife 38071, Spain

来源：

CHEMOSPHERE | 1999年 / 38卷 / 05期

关键词：

mussels; heavy metals; principal component analysis; potential curves; quality control;

D O I：

10.1016/S0045-6535(98)00365-8

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Different strategies of multivariate analysis of metals concentrations (Mn, Fe, Ni, V, Co, Cu, Cd, Hg, Pb, Na, K) in mussel samples from different spanish markets are used to interpret a data base and identify differences between species and origen of the samples. Principal Component Analysis and Potential curves are applied to properly classify unknown samples from representative mussels samples (Mytilus edulis and Perna canaliculus). Also, Principal Components Analysis is used as display method to visualize the relation between the variables and objects of interest. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.

引用

页码：1103 / 1111

页数：9

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