Dynamic modelling of tetrazolium-based microbial toxicity assay—a parametric proxy of traditional dose-response relationship

Microbial toxicity of test substances in tetrazolium assay is often quantified while referring to their IC50 values. However, the implication such an estimate very limited and can differ across studies depending on prevailing conditions. In this work, a factorial design-based end-point microbial was performed, which suggests significant interaction (P= 0.041) between inoculum dose formazan production. Subsequently, dynamic model framework utilized capture nonlinearities biomass, substrate, profiles project toxicant inhibition parameter as robust alternative value. growth, glucose uptake production presence or absence (Cu2+) from designed batch experiments were used for sequential estimation parameters, confidence intervals. A logistic growth with multiplicative terms content concentration fits experimental data reasonably well (R2>0.96). Dynamic relative sensitivity analysis revealed that both sensitive parameter. The modelling not only provides better insight into underlying toxic effect but also offers stable index be extended design versatile, vitro system.