Literature DB >> 19714990

Extractable trace metals content of dust from vehicle air filters as determined by sequential extraction and flame atomic absorption spectrometry.

Sibel Saracoglu1, Mustafa Soylak, Latif Elçi.   

Abstract

A modified four-step sequential extraction procedure developed within the Standards, Measurement, and Testing Program (formally the Community Bureau of Reference) of the European Commission was applied to determine the distribution of Cd, Cu, Fe, and Mn in air filter dust samples collected from vehicles. The four fractions were acid-soluble, reducible, oxidizable, and residual. These fractions have the advantage of providing better insight into the mechanism of association of metals in the dust. The determination of trace metals in dust samples was performed by flame atomic absorption spectrometry. The results obtained after applying the sequential extraction scheme indicated that Cu was the most abundant metal in the organic and residual fractions of the dust matrix. Fe was found mainly in the residual fraction, and the major amounts of Mn and Cd were present in the acid-soluble and bound-to-carbonate fraction. The mean values of Cd, Cu, Fe, and Mn were found to be 15.58, 33.54, 1625, and 180 microg/g, respectively. The results obtained are in agreement with data reported in the literature.

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Year:  2009        PMID: 19714990

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  2 in total

1.  Heavy metal distribution in Tiaoxi River's sediment.

Authors:  Binghui Zheng; Shaoyong Lu; Jinan Wu; Xiaochun Guo; Fengchang Wu; Xiangling Li; Qi He; Zhiyou Fu; Libin Xu
Journal:  Environ Sci Pollut Res Int       Date:  2017-11-12       Impact factor: 4.223

2.  Comparison of unmodified and modified BCR sequential extraction schemes for the fractionation of heavy metals in shrimp aquaculture sludge from Selangor, Malaysia.

Authors:  Keivan Nemati; Nor Kartini Abu Bakar; Mhd Radzi Bin Abas; Elham Sobhanzadeh; Kah Hin Low
Journal:  Environ Monit Assess       Date:  2010-07-16       Impact factor: 2.513

  2 in total

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