In this work, the effect of the most relevant operational conditions on ferrous iron oxidation by a mixed culture of ferroxidans microorganisms was thoroughly investigated at the laboratory scale. The study focused on identifying the optimal values for key parameters such as pH and ferrous iron concentration, which are crucial for maximizing the efficiency of the biological oxidation processes taking place. Through a series of controlled experiments, it was determined that pH and ferrous iron concentration significantly affect the activity of the mixed culture of ferroxidans microorganisms, leading to more efficient iron oxidation.

To further understand and predict the behavior of the mixed culture of ferroxidans microorganisms under various operational conditions, a Monod-based mathematical model was developed. This matematical model incorporates the main biological process parameters and describes the kinetic behavior of the mixed culture of ferroxidans microorganisms in bioreactors. The predictions made by the model for the rate of ferrous iron oxidation were found to be in close agreement with the experimental data obtained in the laboratory experiments, demonstrating a very good correlation coefficient. This indicates that the model is robust and reliable for accurately predicting the performance of the mixed culture of ferroxidans microorganisms in different operational scenarios. The findings of this study provide valuable insights into optimizing bioreactor conditions for industrial applications, such as bioleaching and bioremediation, where efficient iron oxidation is essential.