Statistical modelling and optimization of substrate composition for bacterial growth and cadmium removal using response surface methodology

In this study, substrate composition was optimized for the growth of Achromobacter xyloxidans and biosorption of Cd(II) from aqueous solution. Response surface methodology (RSM) was used to investigate the function of three independent operating variables, namely, peptone (2.5-10 g/L), beef extract (2.5-5.0 g/L) and incubation time (24-96 h), on dependent variables, i.e. sorption of Cd(II) ions, protein content and biomass growth of A. xyloxidans. The maximum Cd(II) removal efficiency of 69.2%, protein content 1.9 mg/L and growth 0.354 optical density was found at optimal conditions of peptone 10 g/L, incubation time 60 h and beef extract 2.5 g/L. The significance of independent variables and interactions between variables were tested by means of the analysis of variance (ANOVA) with 95% confidence limits and values of “Prob > F” less than 0.0500 indicate that model terms are significant. Fourier transfer infrared (FTIR) analysis was used to investigate sorption mechanism and involved functional groups in Cd(II) binding.