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Heavy metal speciation in various grain sizes of industrially contaminated street dust using multivariate statistical analysis.
Ecotoxicol Environ Saf. 2016 Feb; 124:369-376.EE

Abstract

A total of 36 street dust samples were collected from the streets of the Organised Industrial District in Kayseri, Turkey. This region includes a total of 818 work places in various industrial areas. The modified BCR (the European Community Bureau of Reference) sequential extraction procedure was applied to evaluate the mobility and bioavailability of trace elements (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in street dusts of the study area. The BCR was classified into three steps: water/acid soluble fraction, reducible and oxidisable fraction. The remaining residue was dissolved by using aqua regia. The concentrations of the metals in street dust samples were determined by flame atomic absorption spectrometry. Also the effect of the different grain sizes (<38µm, 38-53µm and 53-74µm) of the 36 street dust samples on the mobility of the metals was investigated using the modified BCR procedure. The mobility sequence based on the sum of the first three phases (for <74µm grain size) was: Cd (71.3)>Cu (48.9)>Pb (42.8)=Cr (42.1)>Ni (41.4)>Zn (40.9)>Co (36.6)=Mn (36.3)>Fe (3.1). No significant difference was observed among metal partitioning for the three particle sizes. Correlation, principal component and cluster analysis were applied to identify probable natural and anthropogenic sources in the region. The principal component analysis results showed that this industrial district was influenced by traffic, industrial activities, air-borne emissions and natural sources. The accuracy of the results was checked by analysis of both the BCR-701 certified reference material and by recovery studies in street dust samples.

Authors+Show Affiliations

Erciyes University, Science Faculty, Chemistry Department, TR 38039 Kayseri, Turkey.Erciyes University, Science Faculty, Chemistry Department, TR 38039 Kayseri, Turkey. Electronic address: serifet@erciyes.edu.tr.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

26595510

Citation

Yıldırım, Gülşen, and Şerife Tokalıoğlu. "Heavy Metal Speciation in Various Grain Sizes of Industrially Contaminated Street Dust Using Multivariate Statistical Analysis." Ecotoxicology and Environmental Safety, vol. 124, 2016, pp. 369-376.
Yıldırım G, Tokalıoğlu Ş. Heavy metal speciation in various grain sizes of industrially contaminated street dust using multivariate statistical analysis. Ecotoxicol Environ Saf. 2016;124:369-376.
Yıldırım, G., & Tokalıoğlu, Ş. (2016). Heavy metal speciation in various grain sizes of industrially contaminated street dust using multivariate statistical analysis. Ecotoxicology and Environmental Safety, 124, 369-376. https://doi.org/10.1016/j.ecoenv.2015.11.006
Yıldırım G, Tokalıoğlu Ş. Heavy Metal Speciation in Various Grain Sizes of Industrially Contaminated Street Dust Using Multivariate Statistical Analysis. Ecotoxicol Environ Saf. 2016;124:369-376. PubMed PMID: 26595510.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Heavy metal speciation in various grain sizes of industrially contaminated street dust using multivariate statistical analysis. AU - Yıldırım,Gülşen, AU - Tokalıoğlu,Şerife, Y1 - 2015/11/18/ PY - 2015/03/12/received PY - 2015/11/02/revised PY - 2015/11/03/accepted PY - 2015/11/24/entrez PY - 2015/11/26/pubmed PY - 2016/8/12/medline KW - Grain size KW - Modified BCR sequential extraction KW - Multivariate statistical analysis KW - Street dust SP - 369 EP - 376 JF - Ecotoxicology and environmental safety JO - Ecotoxicol Environ Saf VL - 124 N2 - A total of 36 street dust samples were collected from the streets of the Organised Industrial District in Kayseri, Turkey. This region includes a total of 818 work places in various industrial areas. The modified BCR (the European Community Bureau of Reference) sequential extraction procedure was applied to evaluate the mobility and bioavailability of trace elements (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in street dusts of the study area. The BCR was classified into three steps: water/acid soluble fraction, reducible and oxidisable fraction. The remaining residue was dissolved by using aqua regia. The concentrations of the metals in street dust samples were determined by flame atomic absorption spectrometry. Also the effect of the different grain sizes (<38µm, 38-53µm and 53-74µm) of the 36 street dust samples on the mobility of the metals was investigated using the modified BCR procedure. The mobility sequence based on the sum of the first three phases (for <74µm grain size) was: Cd (71.3)>Cu (48.9)>Pb (42.8)=Cr (42.1)>Ni (41.4)>Zn (40.9)>Co (36.6)=Mn (36.3)>Fe (3.1). No significant difference was observed among metal partitioning for the three particle sizes. Correlation, principal component and cluster analysis were applied to identify probable natural and anthropogenic sources in the region. The principal component analysis results showed that this industrial district was influenced by traffic, industrial activities, air-borne emissions and natural sources. The accuracy of the results was checked by analysis of both the BCR-701 certified reference material and by recovery studies in street dust samples. SN - 1090-2414 UR - https://www.unboundmedicine.com/medline/citation/26595510/Heavy_metal_speciation_in_various_grain_sizes_of_industrially_contaminated_street_dust_using_multivariate_statistical_analysis_ DB - PRIME DP - Unbound Medicine ER -