Toxicological evaluations involve uncertainties, particularly if they are based on animal experiments. FoBiG is engaged in developing methods for toxicological risk assessment and seeks to employ state-of-the-art methods in assessment processes:
- Dose-response modelling (benchmark procedures; with software such as BMDS and PROAST), in order to effectively use dose-response data from experiments
- Extrapolation methods
- for extrapolating data from animal experiments to humans: allometric scaling and
- for the consideration of specific risk groups such as children in the assessment Probabilistic methods
- for effect assessment to evaluate uncertainty and variability in the derivation of limit values
- Risk estimate for carcinogens to derive occupational exposure limits for non-threshold substances (ERB, exposure-risk relationship methodology, DMELs: Derived Minimal Effect Levels)
- Discussion of new methods, such as genomics and metabolomics with their contribution to substance-specific assessments.
These developments and methods are integrated in the derivation of guidance and limit values.