Novel electrochemical–enzymatic model which quantifies the effect of the solution Eh on the kinetics of ferrous iron oxidation with <i>Acidithiobacillus ferrooxidans</i>

Meruane, G; Salhe, C; Wiertz, Jacques V.; Vargas, T.

doi:10.1002/bit.10371

Cited by 34 publications

(14 citation statements)

References 25 publications

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“…The low specific growth rate (0.05/h; 13.9 h/gen) of A. ferrooxidans observed during this study was expected due to the known influence of elevated levels of ferrous and ferric iron on the growth of the organism (Boon et al, 1999;LaCombe-Barron and Lueking, 1990;Meruane et al, 2002;Nyavor et al, 1996). The present study used medium, or leachate, initially containing 12 g/L ferrous iron.…”

Section: Discussionmentioning

confidence: 88%

Recovery of scrap iron metal value using biogenerated ferric iron

Ballor

Nesbitt

Lueking

2006

Biotech & Bioengineering

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The utility of employing biogenerated ferric iron as an oxidant for the recycling of scrap metal has been demonstrated using continuously growing cells of the extremophilic organism Acidithiobacillus ferrooxidans. A ferric iron rich (70 mol%) lixiviant resulting from bioreactor based growth of A. ferrooxidans readily solubilized target scrap metal with the resultant generation of a leachate containing elevated ferrous iron levels and solubilized copper previously resident in the scrap metal. Recovery of the copper value was easily accomplished via a cementation reaction and the clarified leachate containing a replenished level of ferrous iron as growth substrate was shown to support the growth of A. ferrooxidans and be fully recyclable. The described process for scrap metal recycling and copper recovery was shown to be efficient and economically attractive. Additionally, the utility of employing the E(h) of the growth medium as a means for monitoring fluctuations in cell density in cultures of A. ferrooxidans is demonstrated.

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Section: Discussionmentioning

confidence: 88%

Recovery of scrap iron metal value using biogenerated ferric iron

Ballor

Nesbitt

Lueking

2006

Biotech & Bioengineering

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“…1.4.3), and thus inclusion of a thermodynamic control term (e.g., Eq. (8.21)) in the rate equation for Fe(II) oxidation is mechanistically the most appropriate way to account for the threshold (Meruane et al, 2002). For the reaction systems studied by vanScherpenzeel et al (1998), which utilized a total dissolved Fe concentration of 210 mM and pH values of 1.5-1.6, the observed threshold Fe for A. ferrooxidans and L. ferrooxidans, respectively (assuming a fixed dissolved O 2 concentration of 0.2 mM).…”

Section: Kinetics Of Chemical Andmentioning

confidence: 99%

Microbiological Controls on Geochemical Kinetics 2: Case Study on Microbial Oxidation of Metal Sulfide Minerals and Future Prospects

Roden

2008

Kinetics of Water-Rock Interaction

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“…Stoichiometrically, each kmol of Fe 2þ oxidized yields 300 g biomass (1/Y FeX , wet weight) (Boon et al, 1998). Bacterial ferrous ion oxidation rate (r FeOX as kmol Fe 3þ m À3 day À1 ) is expressed as a Monod function for oxygen (Nagpal, 1997) and electrochemical-enzymatic (Meruane et al, 2002) limitations, in Equation (5) ( Table I).…”

Section: Homogeneous (Volumetric) Biochemical Reactionsmentioning

confidence: 99%

Non‐homogeneous biofilm modeling applied to bioleaching processes

Olivera-Nappa

Picioreanu

Asenjo

2010

Biotech & Bioengineering

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A two-dimensional non-homogeneous biofilm model is proposed for the first time to study chemical and biochemical reactions at the microorganism scale applied to biological metal leaching from mineral ores. The spatial and temporal relation between these reactions, microorganism growth and the morphological changes of the biofilm caused by solid inorganic precipitate formation were studied using this model. The model considers diffusion limitations due to accumulation of inorganic particles over the mineral substratum, and allows the study of the effect of discrete phases on chemical and microbiological mineral solubilization. The particle-based modeling strategy allowed representation of contact reactions between the microorganisms and the insoluble precipitates, such as those required for sulfur attack and solubilization. Time-dependent simulations of chemical chalcopyrite leaching showed that chalcopyrite passivation occurs only when an impervious solid layer is formed on the mineral surface. This mineral layer hinders the diffusion of one kinetically determinant mineral-attacking chemical species through a nearly irreversible chemical mechanism. Simulations with iron and sulfur oxidizing microorganisms revealed that chemolithoautotrophic biofilms are able to delay passivation onset by formation of corrosion pits and increase of the solid layer porosity through sulfur dissolution. The model results also show that the observed flat morphology of bioleaching biofilms is favored preferentially at low iron concentrations due to preferential growth at the biofilm edge on the surface of sulfur-forming minerals. Flat biofilms can also be advantageous for chalcopyrite bioleaching because they tend to favor sulfur dissolution over iron oxidation. The adopted modeling strategy is of great interest for the numerical representation of heterogeneous biofilm systems including abiotic solid particles.

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Novel electrochemical–enzymatic model which quantifies the effect of the solution Eh on the kinetics of ferrous iron oxidation with Acidithiobacillus ferrooxidans

Cited by 34 publications

References 25 publications

Recovery of scrap iron metal value using biogenerated ferric iron

Recovery of scrap iron metal value using biogenerated ferric iron

Microbiological Controls on Geochemical Kinetics 2: Case Study on Microbial Oxidation of Metal Sulfide Minerals and Future Prospects

Non‐homogeneous biofilm modeling applied to bioleaching processes

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