Assessment of extraction methods for studying the fractional composition of Cu and Zn in uncontaminated and contaminated soils

Year 2020, , 231 - 241, 01.07.2020

Marina Burachevskaya Tatiana Minkina Tatiana Bauer Saglara Mandzhieva Coşkun Gülser Rıdvan Kızılkaya Svetlana Sushkova Vishnu Rajput

https://doi.org/10.18393/ejss.734601

Cited By: 6

Abstract

This study is aimed at elucidating the fractionation of Cu and Zn in Haplic Chernozem and its alteration under the contamination to evaluate the extraction selectivity of different extractants and thus the efficiency of three sequential extraction schemes (Tessier and McLaren five-step and modified BCR three-step methods). General trends in the distribution of Cu and Zn speciations revealed with these three fractionation schemes suggest that they can be applied for the soils and the obtained results can be compared. Low mobility of potentially toxic metals (PTM) in the studied soil is suggested not only by their high content in residual fraction, but also by low contents of exchangeable and carbonate bound fractions (not more than 4-5 % Cu and 5-7 % Zn in the first two fractions). The highest contribution to the absorption and retention of Cu delivered from anthropogenic sources is made by organic matter and sesquioxides (up to 29 %); for Zn, by the nonsilicate Fe and Mn compounds (up to 25 %). However, the pattern of PTM extraction from soils varies during the application of different fractionation methods. The Tessier method is distinguished by a higher extractability relative to organic matter and sesquioxides. Therefore, this method is more informative for the contaminated soils. The McLaren method makes it possible to track the weakly bound species of compounds without the risk of involving other soil components. The BCR method is marked by simplicity of application and, therefore, recommended only for the noncalcic or low-calcic soils.

Keywords

Assessment, soil, trace metals, selective sequential schemes, mobility, metal forms

Supporting Institution

Russian Science Foundation

Project Number

19-74-00085

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