A physiologically based kinetic model for bacterial sulfide oxidation

Klok, Johannes B.M.; Graaff, Marco de; Bosch, Pim L. F. van den; Boelee, N.C.; Keesman, Karel J.; Janssen, A.J.H.

doi:10.1016/j.watres.2012.09.021

Cited by 73 publications

(43 citation statements)

References 32 publications

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“…Sulfate-laden wastewaters are generated from various sources, such as pulp and paper, fermentation, pharmaceutical, food, tannery, petrochemical, mining, and power industries, and demand cost-effective treatment approaches (Omil et al 1996;Jarvis and Younger 2000;Lens et al 2003;Klok et al 2013;Sun et al 2008). In addition to industrial sources, seawater is widely applied as an economic water resource in coastal regions.…”

Section: Introductionmentioning

confidence: 99%

Resilience of sulfate-reducing granular sludge against temperature, pH, oxygen, nitrite, and free nitrous acid

Hao

Mackey

Guo

et al. 2016

Appl Microbiol Biotechnol

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Sulfate-reducing granular sludge has recently been developed and characterized in detail as part of the development of the sulfate reduction, autotrophic denitrification, nitrification integrated (SANI) process. However, information regarding temperature of granules to environmental fluctuation is lacking, an aspect that is important in dealing with real wastewater. A comprehensive assessment of sulfate-reducing granular sludge performance under various environmental conditions was thus conducted in this study, including temperature, pH, oxygen, nitrite, and free nitrous acid (FNA) as possible encountering conditions in the removal of organics and/or nitrate. Specific chemical oxygen demand removal rate of the granules was determined to be reduced by 65 % when the temperature varied between 10-15 °C, reduced by 70 % when dissolved oxygen (DO) was 0.5 mg/L or greater, and at least, reduced by 75 % when nitrite was 30 mg N/L or above. Nevertheless, the sludge activity recovered by 82, 100, and 86 % from exposure to high oxygen and nitrite and low temperature levels, respectively. Combined inhibition of nitrite and FNA on the sludge is strong and complex, while FNA alone reduced cell viability from 60 to 40 % when its concentration increased to 2.3 mg N/L. The present study demonstrates that sulfate-reducing bacteria (SRB) granules possess high resilience against varying environmental conditions, showing the high application potential of sulfate-reducing granular sludge in dealing with brackish and saline industrial or domestic wastewaters.

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Section: Introductionmentioning

confidence: 99%

Resilience of sulfate-reducing granular sludge against temperature, pH, oxygen, nitrite, and free nitrous acid

Hao

Mackey

Guo

et al. 2016

Appl Microbiol Biotechnol

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“…A drawback of single-substrate kinetic models is the disability to describe the potential limitations of other species such as nutrients or the electron acceptor. Also, models based on single-substrates can hardly describe the formation of multiple end-products in complex biological processes such as biological denitrification and desulfurization processes [13]. For this reason, a multi-substrate model has to be proposed to describe the two-step denitrification since both electron acceptors (nitrate and nitrite) are implicated in the process.…”

Section: Introductionmentioning

confidence: 99%

Investigating the kinetics of autotrophic denitrification with thiosulfate: Modeling the denitritation mechanisms and the effect of the acclimation of SO-NR cultures to nitrite

Mora

Dorado

Gamisans

et al. 2015

Chemical Engineering Journal

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In this work the kinetics of a number of sulfide-oxidizing nitrate-reducing (SO-NR) cultures acclimated and not acclimated to nitrite were characterized. Anoxic respirometry coupled to kinetic modeling of respirometric profiles was the methodology used to study the two-step denitrification associated to thiosulfate oxidation. Autotrophic denitritation was initially studied in a non-acclimated SO-NR culture to confirm that nitrite reduction kinetics could be described through a Haldane-type equation. Afterwards, a kinetic model describing the two-step denitrification (NO 3 -→ NO 2 -→ N 2 ) was calibrated and validated through the estimation of several kinetic parameters from the fitting of experimental respirometric profiles obtained using either nitrate or nitrite as electron acceptors for both acclimated and non-acclimated biomass. The model proposed was a multi-substrate model that considered all the species implicated in the process as well as the stoichiometry associated particularly to the biomass studied in this work. A comparison between the kinetic parameters with the biomass acclimated and nonacclimated to nitrite revealed a 7-fold increase of the Haldane nitrite inhibition constant in the acclimated biomass with respect to the non-acclimated while the nitrite half-saturation constant and the maximum specific growth rate remained almost unchanged. The Fisher Information Matrix method was used to obtain the confidence intervals and also to evaluate the sensitivity and the identifiability in model calibration of each kinetic parameter estimated.

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“…Thus, more knowledge and information is required to fully understand such processes in order to accomplish more complete and accurate models. See for instance Klok et al (2012Klok et al ( , 2013 for the introduction of physiologically based kinetic models for bacterial sulphide oxidation. The models developed are very specific in their nature, and thus not simple to be adapted to a full-scale application.…”

Section: Evaluation On Models For Biological Sulphate Reduction Procementioning

confidence: 99%

Automated biological sulphate reduction: a review on mathematical models, monitoring and bioprocess control

Cassidy

Lubberding

Esposito

et al. 2015

FEMS Microbiology Reviews

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In the sulphate-reducing process, bioprocess control can be used to regulate the competition between microbial groups, to optimize the input of the electron donor and/or to maximize or minimize the production of sulphide. As shown in this review, modelling and monitoring are important tools in the development and application of a bioprocess control strategy. Pre-eminent literature on modelling, monitoring and control of sulphate-reducing processes is reviewed. This paper firstly reviews existing mathematical models for sulphate reduction, focusing on models for biofilms, microbial competition, inhibition and bioreactor dynamics. Secondly, a summary of process monitoring strategies is presented. Special attention is given to in situ sensors for sulphate, sulphide and electron donor concentrations as well as for biomass activity and composition. Finally, the state of the art of the bioprocess control strategies in biological sulphate reduction processes is overviewed.

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A physiologically based kinetic model for bacterial sulfide oxidation

Cited by 73 publications

References 32 publications

Resilience of sulfate-reducing granular sludge against temperature, pH, oxygen, nitrite, and free nitrous acid

Resilience of sulfate-reducing granular sludge against temperature, pH, oxygen, nitrite, and free nitrous acid

Investigating the kinetics of autotrophic denitrification with thiosulfate: Modeling the denitritation mechanisms and the effect of the acclimation of SO-NR cultures to nitrite

Automated biological sulphate reduction: a review on mathematical models, monitoring and bioprocess control

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