Heavy Metal Concentrations in Food Chain of Lake Velenjsko jezero, Slovenia: An Artificial Lake from Mining
The concentration of metals (Pb, Cd, Zn, Hg) in different ecosystem components (lake water, sediment, plankton, macrophytes, and fish tissues) has been determined in Velenjsko jezero, an artificial lake resulting from mining activity. The risk to humans from consuming fish has been evaluated from th...
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Published in | Archives of environmental contamination and toxicology Vol. 58; no. 4; pp. 998 - 1007 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
New York : Springer-Verlag
01.05.2010
Springer-Verlag Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The concentration of metals (Pb, Cd, Zn, Hg) in different ecosystem components (lake water, sediment, plankton, macrophytes, and fish tissues) has been determined in Velenjsko jezero, an artificial lake resulting from mining activity. The risk to humans from consuming fish has been evaluated from the heavy metal load of fish muscle tissue. Heavy metals are transferred through the food chain at different levels, and Hg is found to be the element of the highest ecotoxicological concern. Although both sediment and plankton contain relatively low concentrations of Hg, this element accumulates in high levels in fish, especially in the benthivorous species Abramis brama danubii and predator species Perca fluviatilis. Moreover, Hg appears to be very mobile in the fish organism. Whereas the other metals remained mostly in liver (Cd) or gills (Zn, Pb), levels of Hg in fish muscle and liver were the same and markedly higher than in gills. However, in muscle, the average concentrations of each metal were below their maximum limits, determined either by Slovenian legislation or by the Food and Agriculture Organization. |
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Bibliography: | http://dx.doi.org/10.1007/s00244-009-9417-5 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0090-4341 1432-0703 |
DOI: | 10.1007/s00244-009-9417-5 |