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

Abstract:

: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 origin 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.

journal_name

Chemosphere

journal_title

Chemosphere

authors

Machado Mesa L,Peña Méndez E,Sánchez Sánchez M,García Montelongo F

doi

10.1016/s0045-6535(98)00365-8

subject

Has Abstract

pub_date

1999-02-01 00:00:00

pages

1103-11

issue

5

eissn

0045-6535

issn

1879-1298

pii

S0045653598003658

journal_volume

38

pub_type

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