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<p>An important sub-process in biohydrometallurgy is microbially assisted ferrous oxidation. The modeling of this process and, in particular, the microbial growth kinetics are essential for understanding the relative contributions of contact and non-contact mechanisms and optimizing the overall bioleaching process performance. Past kinetic studies in the pertinent literature have been based on batch data resulting in classic Monod and its variants including the ferric inhibition rate laws. However, all these studies have not evaluated the effects of model parameters on the steady-state performance of a continuous bioreactor, resulting in uncertainty in the selection of the most applicable rate law. In this study, two continuous bioreactor models for biotic ferrous oxidation using a consortium of indigenous and adapted bacterial strains were evaluated in their steady-state solutions with experimental and literature data. The evaluation revealed that large uncertainties (&gt; 100% of the parameter value) can be introduced when the ferric inhibition rate law is used. The robustness of the model was verified in a simulated bioleaching solution with Ni (1.8&#xa0;g/L) and Cu (0.4&#xa0;g/L) as impurities. Thus, for modeling purposes of a real industrial process, the use of the classic Monod equation is sufficient to be used.</p> Graphical Abstract <p></p>

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Modeling Steady-State Ferrous Oxidation in Continuous Bioreactors for Non-contact Bioleaching

  • 期刊论文

  • 发表日期：

    2025年7月17日

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  • Heping Shen,
  • Elizabeth Edwards,
  • Radhakrishnan Mahadevan,
  • Vladimiros G. Papangelakis

摘要

An important sub-process in biohydrometallurgy is microbially assisted ferrous oxidation. The modeling of this process and, in particular, the microbial growth kinetics are essential for understanding the relative contributions of contact and non-contact mechanisms and optimizing the overall bioleaching process performance. Past kinetic studies in the pertinent literature have been based on batch data resulting in classic Monod and its variants including the ferric inhibition rate laws. However, all these studies have not evaluated the effects of model parameters on the steady-state performance of a continuous bioreactor, resulting in uncertainty in the selection of the most applicable rate law. In this study, two continuous bioreactor models for biotic ferrous oxidation using a consortium of indigenous and adapted bacterial strains were evaluated in their steady-state solutions with experimental and literature data. The evaluation revealed that large uncertainties (> 100% of the parameter value) can be introduced when the ferric inhibition rate law is used. The robustness of the model was verified in a simulated bioleaching solution with Ni (1.8 g/L) and Cu (0.4 g/L) as impurities. Thus, for modeling purposes of a real industrial process, the use of the classic Monod equation is sufficient to be used.

Graphical Abstract