Cobalt sorption onto anaerobic granular sludge: Isotherm and spatial localization analysis

Hullebusch, Eric D. van; Gieteling, Jarno; Zhang, Min; Zandvoort, Marcel H.; Daele, Wim Van; Defrancq, Jacques; Lens, Piet N.L.

doi:10.1016/j.jbiotec.2005.07.011

Cited by 34 publications

(12 citation statements)

References 34 publications

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“…The cobalt distribution between the solid and liquid phase in set III seems to be a typically adsorption-like type (as shown by van Hullebusch et al [40]). Thus, cobalt adsorption plays a key role in the cobalt distribution in this system.…”

Section: Role Of Speciation In Cobalt Toxicitymentioning

confidence: 60%

“…Set I (cobalt in the presence of inorganic ligands) shows the highest accumulation of cobalt in the solid phase (granules). This accumulation can be caused by or adsorption or absorption on/in the granules or by cobalt precipitation with the inorganic ions contained in the liquid medium [40]. Figure 5 shows a similar level of cobalt precipitation/ sorption at the lower cobalt concentrations in sets I and III.…”

Section: Role Of Speciation In Cobalt Toxicitymentioning

confidence: 81%

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Cobalt toxicity in anaerobic granular sludge: influence of chemical speciation

Bartacek

Fermoso

Baldó-Urrutia

et al. 2008

J Ind Microbiol Biotechnol

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The influence of cobalt speciation on the toxicity of cobalt to methylotrophic methanogenesis in anaerobic granular sludge was investigated. The cobalt speciation was studied with three different media that contained varying concentrations of complexing ligands [carbonates, phosphates and ethylenediaminetetraacetic acid (EDTA)]. Three fractions (nominal added, dissolved and free) of cobalt were determined in the liquid media and were correlated with data from batch toxicity experiments. The average concentration of cobalt that was required for 50% inhibition of methanogenic activity (IC 50 ) for free Co 2? in the three sets of measurements was 13 lmol/L with a standard deviation of 22% and a similarity of 72% between the data obtained in the three different media for the range of cobalt concentrations investigated. The standard deviation of the IC 50 for the other two fractions was much higher, i.e. 85 and 144% for the added cobalt and dissolved cobalt, respectively, and the similarity was almost 0% for both fractions. Complexation (and precipitation) with EDTA, phosphates and carbonates was shown to decrease the toxicity of cobalt on methylotrophic methanogenesis. The free cobalt concentration is proposed to be the key parameter to correlate with cobalt toxicity. Thus, the toxicity of cobalt to granular sludge can be estimated based on the equilibrium-free cobalt concentration.

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Section: Role Of Speciation In Cobalt Toxicitymentioning

confidence: 60%

Section: Role Of Speciation In Cobalt Toxicitymentioning

confidence: 81%

Cobalt toxicity in anaerobic granular sludge: influence of chemical speciation

Bartacek

Fermoso

Baldó-Urrutia

et al. 2008

J Ind Microbiol Biotechnol

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“…For the description of metal ions adsorption in the suspended biomass, Freundlich and Langmuir isotherms were selected due to the fact that these two isotherms were the most often used adsorption isotherms in biotechnology [46,47]. The measured equilibrium concentration of metal ions (c M,L ) in the multi-metals solution along the HRTB was used for the determination of the suspended biomass adsorption capacity (q x,L ) presented as points in Fig.…”

Section: Definition and Optimization Of The Integral Bioprocess Modelmentioning

confidence: 99%

Mathematical modeling of Fe(II), Cu(II), Ni(II) and Zn(II) removal in a horizontal rotating tubular bioreactor

Rezić

Zeiner

Šantek

et al. 2011

Bioprocess Biosyst Eng

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Industrial wastewaters polluted with toxic heavy metals are serious ecological and environmental problem. Therefore, in this study multi-heavy metals (Fe(2+), Cu(2+), Ni(2+) and Zn(2+)) removal process with mixed microbial culture was examined in the horizontal rotating tubular bioreactor (HRTB) by different combinations of process parameters. Hydrodynamic conditions and biomass sorption capacity have main impact on the removal efficiency of heavy metals: Fe(2+) 95.5-79.0%, Ni(2+) 92.7-54.8%, Cu(2+) 87.7-54.9% and Zn(2+) 81.8-38.1%, respectively. On the basis of experimental results, integral mathematical model of removal heavy metals in the HRTB was established. It combines hydrodynamics (mixing), mass transfer and kinetics to define bioprocess conduction in the HRTB. Mixing in the HRTB was described by structured cascade model and metal ion removal by two combined diffusion-adsorption models, respectively. For Langmuir model, average variances between experimental and simulated concentrations of metal ions were in the range of 1.22-10.99 × 10(-3) and for the Freundlich model 0.12-3.98 × 10(-3), respectively. On the basis of previous facts, it is clear that developed integral bioprocess model with Freundlich model is more efficient in the prediction of concentration of metal ions in the HRTB. Furthermore, the results obtained also pointed out that the established model is at the same time accurate and robust and therefore it has great potential for use in the scale-up procedure.

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“…It is well known that cobalt and nickel are concentrated in soil horizons rich in organic matter and clays (Van Hullebusch et al, 2006;Lin et al, 2008). They are immobile in alkaline conditions since their oxides, hydroxides, and carbonate forms are very insoluble, while in acid conditions dissolution and leaching are more likely to occur (Alloway, 1995).…”

Section: Results-discussionmentioning

confidence: 99%