Selina Tisler

WP 2 will address metabolites and transformation products (TPs) of compounds selected in WP 1. These will be generated and identified by means of electrochemical synthesis mimicking mainly Phase I metabolism and mass spectrometric detection. The mixture of metabolites and TPs will be used for ligand screening with nuclear receptors (WP 3) using the analytical methodology devel-oped as well as for further toxicity screening for effects on cells (WP 4) and in biota (WPs 5 and 6).

WP 1 first aims at identifying and quantifying relevant test substances from the groups of pharma-ceuticals (antidiabetics and neuroactive drugs such as selective serotonin reuptake inhibitors) and food additives (artificial sweeteners) in surface waters partly using existing expertise. The focus is on substances of high consumption and environmental relevance. Based on this analysis, the final test compounds will be defined (e.g. metformin, fluoxetine and sucralose), and specific methods for
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Effect-Net is a multi- and transdisciplinary project that intends to generate a toolbox for multi-scale chemical effects as a basis for a holistic effect-based risk evaluation, and for sociocultural governance aiming at personal and political responsibility as well as a reduction of emissions of hazardous chemicals into aquatic environments. The focus is on the development of a multi-scale network for the identification and evaluation of the biological hazards posed by emerging high-consumption
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All data from chemical and biological analyses will be used as sources of data for WP 9. It is not the purpose of Eff-Net to provide a tool to fully model the effects of carbohydrate metabolism-related and neurotoxic substances. Rather, in the sense of an Adverse Outcome Pathway (AOP [33]), the data pool will be analyzed for the suitability of lower scale data (e.g. receptor assay data) to predict the adverse outcome of the test substances at higher levels of organization (e.g. fish). In addition,
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