Abstract
Manganese has been determined in soil- and sediment samples taken from selected regions with high manganese concentrations anthropogenic and/or geogenic. The total content of manganese in chosen sediment- and soil samples has been determined applying FAAS after microwave digestion and the manganese fractions after sequential extraction procedures using galvanostatic stripping chronopotentiometry. The highest content of manganese has been determined in sediment from Hôrka (6243.6 ± 56.2 mg kg-1), while the lowest value has been obtained in the sediment from Kráľová (278.6 ± 3.9 mg kg-1). Using a modified Tessier’s procedure it was found, that manganese in sediments from Kráľová is associated mainly with the carbonate fraction (>50%), while in sediments from Lozorno and Hôrka it is associated primarily with the Mn and Fe oxide fraction (80% and 42% respectively).
Highlights
Manganese is an essential micronutrient for all organisms, playing an important role in tissue and bone formation, in reproductive functions and in carbohydrate and lipid metabolisms (ANJOS et al, 2007), but at higher levels it can be toxic
Samples from Kráľová contain anthropogenic manganese markedly derived from waste dump of a former nickel smelter in Sereď
Our results show for manganese concentrations in soils - in comparison with the ones in sediments - higher values
Summary
Manganese is an essential micronutrient for all organisms, playing an important role in tissue and bone formation, in reproductive functions and in carbohydrate and lipid metabolisms (ANJOS et al, 2007), but at higher levels it can be toxic. The determination of manganese in several matrices samples is very important for some areas, such as environmental chemistry and food control (LEMOS et al, 2008). The determination of specific chemical species or binding forms is as a rule very complex and often hardly possible. For this reason, sequential extraction procedures are commonly applied because they provide information about the fractionation of metals in the different lattices of the solid sample which is a good compromise to give information on environmental contamination risk (MARGUÍ et al, 2004)
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