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Assessment and validation of the CAESAR predictive model for bioconcentration factor (BCF) in fish
Anna Lombardo1, Alessandra Roncaglioni, Elena Boriani
1Laboratory of Chemistry and Environmental Toxicology, Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
Chemistry Central Journal
|August 4, 2010
Summary
The CAESAR model accurately predicts bioconcentration factors (BCF) in fish, offering a reliable alternative to animal testing for chemical regulations. This in silico method is robust, transparent, and crucial for environmental risk assessment.
Area of Science:
- Environmental Chemistry
- Toxicology
- Computational Chemistry
Background:
- Bioconcentration factor (BCF) is essential for environmental chemical risk assessment and regulatory compliance.
- Current regulations encourage non-animal testing methods, including in silico approaches.
- The CAESAR predictive model for BCF in fish was developed to meet these regulatory needs.
Purpose of the Study:
- To assess and validate the predictive performance of the CAESAR model for fish bioconcentration factors (BCF).
- To compare the CAESAR model's efficacy against the BCFBAF v3.00 model.
- To evaluate the model's suitability for regulatory applications, particularly concerning animal testing reduction.
Main Methods:
- Development and validation of the CAESAR in silico model for BCF prediction.
- Collection of new experimental data to create an external validation set.
- Comparative analysis of CAESAR BCF and BCFBAF v3.00 performance metrics (R², Q², classification accuracy).
Main Results:
- The CAESAR BCF model demonstrated superior performance compared to BCFBAF v3.00 for chemicals within its applicability domain.
- High accuracy (over 90%) was achieved for classification purposes, with good R² and Q² values.
- Implementing an offset significantly reduced false negatives, ensuring a high level of safety in predictions.
Conclusions:
- The CAESAR BCF model is a robust, reliable, and predictive tool suitable for regulatory use.
- The model adheres to REACH requirements with transparency, documentation, and a defined applicability domain.
- The model is freely accessible and user-friendly, enhancing its utility for environmental safety assessments.
