Application of the exploratory data analysis for evaluating the toxicity of chlorinated phenol derivatives by various cell models.
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.
Cernáková
M
M
Department of Environmental Sciences, Faculty of Chemical Technology, Slovak Technical University, Bratislava.
Jurásek
P
P
D000490:Allium / Q000187:drug effects; D000818:Animals; D001419:Bacteria / Q000187:drug effects; D002733:Chlorophenols / Q000633:toxicity*; D016000:Cluster Analysis; D000458:Cyanobacteria / Q000187:drug effects; D003627:Data Interpretation, Statistical; D004785:Environmental Pollutants / Q000633:toxicity; D056890:Eukaryota / Q000187:drug effects; D005658:Fungi / Q000187:drug effects; D008954:Models, Biological; D009835:Oligochaeta / Q000187:drug effects
D002733:Chlorophenols; D004785:Environmental Pollutants