| Ecotoxicity and chemical sediment data classification by the use of self-organising maps. | |
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MedLine Citation:
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PMID: 19084619 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The present paper deals with the presentation in a new interpretation of sediment quality assessment. This original approach studies the relationship between ecotoxicity parameters (acute and chronic toxicity) and chemical components (polluting species like polychlorinated biphenyls (PCBs), pesticides, polycyclic aromatic hydrocarbons (PAH), heavy metals) of lake sediments samples from Turawa Lake, Poland by an application of self-organising maps (SOMs) to the monitoring dataset (59 samplesx44 parameters) in order to obtain visual images of the components distributed at each sampling site when all components are included in the classification and data projection procedure. From the SOMs obtained, it is possible to select groups of similar ecotoxicity (either acute or chronic) and to analyse within each one of them the relationship of the other chemicals to the toxicity determining parameters (EC(50) and mortality). Studies have shown, convincingly, that different regions from the Turawa Lake bottom indicate different patterns of ecotoxicity related to various chemical pollutants, such as the "heptachlor-B" pattern, "pesticide and PAH" pattern, "structural" pattern or "PCB congeners" pattern. Thus, an easy way of multivariate analysis of small datasets with ecotoxicity parameters involved becomes possible. Additionally, a distinction between the effects of pollution on acute and chronic toxicity seems reasonable. |
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Authors:
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Stefan Tsakovski; Blazej Kudlak; Vasil Simeonov; Lidia Wolska; Jacek Namiesnik |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2008-10-31 |
Journal Detail:
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Title: Analytica chimica acta Volume: 631 ISSN: 1873-4324 ISO Abbreviation: Anal. Chim. Acta Publication Date: 2009 Jan |
Date Detail:
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Created Date: 2008-12-16 Completed Date: 2009-02-02 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0370534 Medline TA: Anal Chim Acta Country: Netherlands |
Other Details:
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Languages: eng Pagination: 142-52 Citation Subset: IM |
Affiliation:
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Faculty of Chemistry, University of Sofia "St. Kl. Okhridski", 1164 Sofia, 1, J. Bourchier Blvd., Bulgaria. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Ecotoxicology
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methods* Environmental Monitoring / methods* Environmental Pollutants / analysis, chemistry, classification*, toxicity* Geologic Sediments / chemistry* Neural Networks (Computer) Time Factors |
| Chemical | |
Reg. No./Substance:
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0/Environmental Pollutants |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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