Abstract
Abstract This paper analyses the oxidation of ferrous iron via chemical and biological means in a class of Sequential Batch Reactors (SBR-type). For this, a kinetic model for the study of iron oxidation system is proposed, followed by a parametric sensitivity analysis and a bifurcation analysis, which allow selecting the most influential kinetic parameters in order to ensure a suitable prediction capacity of the mathematical structure. The system consists of two SBR bioreactors, the first being used to produce hydrogen peroxide (H2O2) that is fed to a second reactor where the iron oxidation is carried out by chemical–biological processes. Model predictions were compared with experimental data for the production of H2O2 and for ferrous iron oxidation, finding suitable correlation coefficients (r2 > 0.98) for each state variable. The bifurcation analysis showed the trajectories of the main variables, such as, biomass, H2O2 and ferrous iron, under the change of the most influential kinetic parameters. This analysis demonstrates the usefulness of the constructed model to predict the kinetic behaviour of the SBR-type process.
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