Application of the exploratory data analysis for evaluating the toxicity of chlorinated phenol derivatives by various cell models
Language English Country United States Media print
Document type Journal Article
PubMed
7729769
DOI
10.1007/bf02814321
Knihovny.cz E-resources
- MeSH
- Allium drug effects MeSH
- Bacteria drug effects MeSH
- Models, Biological MeSH
- Chlorophenols toxicity MeSH
- Eukaryota drug effects MeSH
- Fungi drug effects MeSH
- Data Interpretation, Statistical MeSH
- Environmental Pollutants toxicity MeSH
- Oligochaeta drug effects MeSH
- Cluster Analysis MeSH
- Cyanobacteria drug effects MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Chlorophenols MeSH
- Environmental Pollutants MeSH
Exploratory data analysis based on multivariate statistical analysis techniques was introduced as a new approach to expressing the toxicity of chemical substances at the simultaneous acceptance of various cell models. Using principal component analysis and cluster analysis methods the toxicity of chlorinated phenol derivatives on employing some of the cell models (chlorococcal algae, cyanobacteria, bacteria, micromycetes, plant and animal cells) was characterized. The previous empirical experience that the toxicity of chlorinated phenol derivatives will increase with a growing degree of chlorination and that the presence of the methoxy group will cause a lowering of the toxic effect was demonstrated. The relationship between groups of tests used was presented.