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THE BIOSORPTION OF ARSENIC FROM AQUEOUS SOLUTION USING RAW PEAT

Olga Naymushina

First published: 2017-06-20https://doi.org/10.5593/sgem2017/32/s13.073View metrics

Abstract

Removal of potentially harmful As compounds by adsorption onto biosorbents is a cost-effective alternative to the conventional treatment methods. Peatlands can accumulate arsenic originating from both natural and anthropogenic sources [1-3]. Wetland soils and sediments are subject to frequent changes in redox conditions, driven by fluctuations in the water table and shifts in biological activity. Under oxic conditions, natural organic matter (NOM) promotes arsenic release from metal-(hydr)oxides, thereby enhancing arsenic mobility [4]. Under strongly reducing conditions organic matter triggers the formation of arsenic-sequestering sulphides, leading to a reduction in arsenic mobility. Furthermore, the sorption of arsenic to NOM is increasingly thought to suppress arsenic mobility, but the binding mechanisms have remained elusive. The objective of this work was to investigate the interaction of arsenic species (As(III)) with raw peat, collected in Tomsk region, South Siberia. The effect of the initial As concentration, pH, contact time, was studied in experiments. Peat samples were analyzed before and after adsorption processes using atomic absorption spectrometry. The results showed that only 27% of As(III) precipitated on peat with selected experiment parameters, while, for example, for Cu(II), the result is much better and is 97%. All of this suggests that the experimental work should be continued with changing of the experimental conditions and improving the properties of peat by the modification method.

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Publication details

Title
THE BIOSORPTION OF ARSENIC FROM AQUEOUS SOLUTION USING RAW PEAT
Authors
Olga Naymushina
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2017
Pages
563-568
SWS Citekey
Naymushina201713563568
ISSN
1314-2704
ISBN
978-619-7408-05-8
Language
en
Publication type
Conference Paper
Keywords
References13
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