利用痕量金属进行贻贝调查时用于识别污染源的主成分分析。

Principal component analysis for the identification of pollution sources in mussel survey by trace metals.

作者信息

Favretto L, Gabrielli Favretto L, Felician L

出版信息

Z Lebensm Unters Forsch. 1987 Feb;184(2):101-9. doi: 10.1007/BF01042082.

DOI:10.1007/BF01042082

Abstract

Principal component analysis has been applied to analyze the correlation matrix obtained from a 8 X 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.

摘要

主成分分析已被用于分析从一个8×43数据矩阵获得的相关矩阵。这8种痕量金属为锰（Mn）、钴（Co）、镍（Ni）、铜（Cu）、锌（Zn）、镉（Cd）、汞（Hg）、铅（Pb），它们存在于贻贝（Mytilus galloprovincialis Lamarck）的软组织中。贻贝取自的里雅斯特湾的两个地点。在两个样本中，四个主成分解释了总方差的76 - 78%。经正交旋转的因子矩阵表明，钴和镍与第一主成分相关，镉和铅与第一主成分（地点2）或第二主成分（地点1）相关。本文讨论了的里雅斯特湾贻贝软组织中痕量金属的来源。