Evaluation of the results of metal analyses for lake sediment samples: a multivariate statistical approach

Tokahoglu S., Kartal S.

CHEMIA ANALITYCZNA, vol.47, pp.627-638, 2002 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47
  • Publication Date: 2002
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.627-638
  • Erciyes University Affiliated: Yes


The 28 sediment samples were collected from the lakes of a water-laden area of Sultansaziigi, Kayseri (Turkey). The metal contents such as chromium, manganese, iron, cobalt, nickel, copper, zinc, cadmium (below the detection limit), and lead in the sediment sample fractions were examined by using fractionation procedure, for example, the Community Bureau of Reference (BCR) method including sequential extraction. The determination of extractable heavy metals mentioned above in the sediment samples was carried out by name atomic absorption spectrometry (FAAS) using an injection method. In order to evaluate the analytical data by multivariate statistical techniques, principal components analysis (PCA), cluster analysis (CA), correlation analysis, and enrichment factors (EFc) were used. In order to determine the possible sources of metals, the results obtained with the multivariate techniques which use the data base containing the total elemental concentrations identified the four distinct heavy metal sources, namely soil-industrial, industrial-traffic, soil-combustion, and agricultural.