Modelling the Decolorization of Malachite Green by Staphylococcus aureus

Dyes plays an important role in our everyday life. From manufacturing plastics, paints, textile and even pills contain traces of dye used. With the ever-increasing demand for with growing world populations, use synthetic dyes has grown linearly. Bioremediation using microorganisms is on rise. The ability to accurately predict rate bioremediation relies upon gathering accurate decolourisation, which often inaccurately obtained by natural logarithm transformation decolourisation process over time. In this instance, a nonlinear regression curve needs be carried out utilising available models. Hence, various primary models such as modified Logistic, Gompertz, logistics, Richards, Schnute, Baranyi-Roberts, Buchanan-3-phase, von Bertalanffy Huang were utilized fit specific rate. Several failed converge was omitted only Huang, Richards Logistics able model data while other omitted. best based statistical analysis Baranyi Roberts highest value Adjusted Coefficient Determination lowest values RMSE, AICc, HQC BIC closest 1.0 accuracy bias factors. Baranyi-Roberts fitted found conform normality tests adequate used experimental data. parameters from exercise can further secondary modelling gleam information how substrate (dye) affect substrate.