PRINCIPAL COMPONENT ANALYSIS FOR THE IDENTIFICATION OF POLLUTION SOURCES IN MUSSEL SURVEY BY TRACE-METALS

被引：12

作者：

FAVRETTO, L ^{[1
]}

FAVRETTO, LG ^{[1
]}

FELICIAN, L ^{[1
]}

机构：

[1] UNIV TRIESTE, IST MERCEOL, I-34100 TRIESTE, ITALY

来源：

ZEITSCHRIFT FUR LEBENSMITTEL-UNTERSUCHUNG UND-FORSCHUNG | 1987年 / 184卷 / 02期

关键词：

D O I：

10.1007/BF01042082

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

Principal component analysis has been applied to analyze the correlation matrix obtained from a 8 .times. 43 data matrix. The 8 trace metals are Mn, Co, Ni, Cu, Zn, Cd, Hg, Pb, which are contained in the soft part of mussels (Mytilus galloprovincialis Lamarck). Mussels were sampled from two sites in the Gulf of Trieste. In both samples, 76-78% of the total variance is explained by the four principal components. The orthogonally rotated factor matrix indicates that Co and Ni are bonded to the first principal component and Cd and Pb to the first (site 2) or second principal component (site 1). The origin of trace metals in the soft part of mussels from the GUlf of Trieste is discussed.

引用

页码：101 / 109

页数：9

共 21 条

[1]

[Anonymous], 1991, Factor Analysis in Chemistry

[2]

BALDI M, 1985, Igiene Moderna, V83, P20

[3] PRINCIPAL COMPONENT ANALYSIS AS A TOOL FOR STUDYING INTERDEPENDENCES AMONG TRACE-METALS IN EDIBLE MUSSELS FROM THE GULF OF TRIESTE [J].

FAVRETTO, L ;

FAVRETTO, LG .

ZEITSCHRIFT FUR LEBENSMITTEL-UNTERSUCHUNG UND-FORSCHUNG, 1984, 179 (05) :377-380

[4] MULTIVARIATE DATA-ANALYSIS OF SOME XENOBIOTIC TRACE-METALS IN MUSSELS FROM THE GULF OF TRIESTE [J].

FAVRETTO, L ;

FAVRETTO, LG .

ZEITSCHRIFT FUR LEBENSMITTEL-UNTERSUCHUNG UND-FORSCHUNG, 1984, 179 (03) :201-204

[5]

FAVRETTO L, 1985, 3 P EUR FOOD CHEM ST, V1, P66

[6]

FAVRETTO L, 1976, 3ES CR JOURN ET POLL, P51

[7]

FAVRETTO LG, 1984, Z LEBENSM UNTERS FOR, V179, P197, DOI 10.1007/BF01041893

[8]

Forina M., 1983, Rivista Italiana delle Sostanze Grasse, V60, P607

[9]

GNANADESIKAN R, 1977, METHODS STATISTICAL

[10]

LIN CC, 1980, BIOMETRIKA, V67, P455, DOI 10.1093/biomet/67.2.455

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