Document Detail


Ecotoxicity and chemical sediment data classification by the use of self-organising maps.
MedLine Citation:
PMID:  19084619     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Stefan Tsakovski; Blazej Kudlak; Vasil Simeonov; Lidia Wolska; Jacek Namiesnik
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-10-31
Journal Detail:
Title:  Analytica chimica acta     Volume:  631     ISSN:  1873-4324     ISO Abbreviation:  Anal. Chim. Acta     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2008-12-16     Completed Date:  2009-02-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370534     Medline TA:  Anal Chim Acta     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  142-52     Citation Subset:  IM    
Affiliation:
Faculty of Chemistry, University of Sofia "St. Kl. Okhridski", 1164 Sofia, 1, J. Bourchier Blvd., Bulgaria.
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MeSH Terms
Descriptor/Qualifier:
Ecotoxicology / methods*
Environmental Monitoring / methods*
Environmental Pollutants / analysis,  chemistry,  classification*,  toxicity*
Geologic Sediments / chemistry*
Neural Networks (Computer)
Time Factors
Chemical
Reg. No./Substance:
0/Environmental Pollutants

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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