Biomonitoring aquatic pollution with feral eel (Anguilla anguilla); III. statistical analyses of relationships between contaminant exposure and biomarkers

摘要: Abstract In a large-scale field study, sediments and eel ( Anguilla anguilla ) samples were collected from six Amsterdam freshwater sites with varying degrees of pollution. All sediment analyzed for organic trace pollutants, such as polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs) polycyclic aromatic hydrocarbons (PAHs). addition, the pollution-induced responses suite 21 biochemical parameters in (notably phase I II biotransformation enzymes, antioxidant PAH metabolites, DNA adducts serum transaminases) measured. The resulting comprehensive database was subjected to statistical analyses order determine biomarkers which most suitable assess inland water pollution classify environmental quality sites. Bivariate correlation analysis, principal component analysis (PCA) residual maximum likelihood (REML) all revealed that tissue levels PCB OCP analyte groups exposure these contaminants, whereas not. enzymes found be responsive pollutants environment. Phase cofactors, well adducts, less sensitive biomarkers, transaminases did not show statistically significant correlations pollutant levels. Similar results obtained by means postulated bivariate correlation-significance index (CSI) multivariate PCA analysis. Discriminant (DA) used status various It appeared best discrimination between reference sites, moderately polluted heavily using DA on data nine markers. importance monitoring biota classification or demonstrated present since no clear could made only. indicate biological effect is only appropriate method providing reliable risk assessment.