The experimental data on the bacterial reverse mutation test on C60 nanoparticles (TA100) is examined as an endpoint. By means of the optimal descriptors calculated with the Monte Carlo method a mathematical model of the endpoint has been built up. The model is the mathematical function of (i) dose (g/plate); (ii) metabolic activation (i.e. with S9 mix or without S9 mix); and (iii) illumination (i.e. dark or irradiation). The statistical quality of the model is the following: n=10, r2=0.7549, q2=0.5709, s=7.67, F=25 (Training set); n=5, r2=0.8987, s=18.4 (Calibration set); and n=5, r2=0.6968, s=10.9 (Validation set).
- Bacterial reverse mutation test
- Fullerene C60
- Optimal descriptor
ASJC Scopus subject areas
- Environmental Chemistry