Fluidized bed biofilm reactor for wastewater treatment

Shieh, Wen K.; Keenan, John D.

doi:10.1007/bfb0002455

Cited by 91 publications

(63 citation statements)

References 26 publications

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“…To facilitate the design and operation of attached growth bioreactors, mathematical models have been developed that simulate substrate utilization and biomass growth in biofilms (Rittmann and McCarty, 1980a;Shieh and Keenan, 1986). One of the difficulties in using these models, however, is estimating the biokinetic parameters for bacterial growth and substrate removal.…”

Section: Introductionmentioning

confidence: 99%

Respirometric assay for biofilm kinetics estimation: Parameter identifiability and retrievability

Riefler

Ahlfeld

Smets

1998

Biotechnol. Bioeng.

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Currently, no fast and accurate methods exist for measuring extant biokinetic parameters for biofilm systems. This article presents a new approach to measure extant biokinetic parameters of biofilms and examines the numerical feasibility of such a method. A completely mixed attached growth bioreactor is subjected to a pulse of substrate, and oxygen consumption is monitored by on-line measurement of dissolved oxygen concentration in the bulk liquid. The oxygen concentration profile is then fit with a mechanistic mathematical model for the biofilm to estimate biokinetic parameters. In this study a transient biofilm model is developed and solved to generate dissolved oxygen profiles in the bulk liquid. Sensitivity analysis of the model reveals that the dissolved oxygen profiles are sufficiently sensitive to the biokinetic parameters-the maximum specific growth rate coefficient (µ ˆ) and the half-saturation coefficient (K s )-to support parameter estimation if accurate estimates of other model parameters can be obtained. Monte Carlo simulations are conducted with the model to add typical measurement error to the generated dissolved oxygen profiles. Even with measurement error in the dissolved oxygen profile, a pair of biokinetic parameters is always retrievable. The geometric mean of the parameter estimates from the Monte Carlo simulations prove to be an accurate estimator for the true biokinetic values. Higher precision is obtained for µ êstimates than for K s estimates. In summary, this theoretical analysis reveals that an on-line respirometric assay holds promise for measuring extant biofilm kinetic parameters.

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Section: Introductionmentioning

confidence: 99%

Respirometric assay for biofilm kinetics estimation: Parameter identifiability and retrievability

Riefler

Ahlfeld

Smets

1998

Biotechnol. Bioeng.

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“…Around 2500-3500 carbon particles (BacMu, Kureye, Japan) of 5.075 × 10 −4 (±5 × 10 −6 ) m diameter with a density of 1400 kg/m 3 were placed in the reactor before the start up of the system. The DFBBR system was designed in accordance with experience's detailed in the literature and presented schematically in Figure 1 Tanyolaç, 1996, 1994;Shieh and Keenan, 1986). The temperature of fluidized bed reactor was controlled at 25 ± 1°C by heating strips placed over the outer surface of the fluidized bed.…”

Section: Differential Fluidized Bed Biofilm Reactor (Dfbbr) Runsmentioning

confidence: 99%

“…Howell and Atkinson (1976) previously indicated that biofilm surface substrate concentration effected biofilm density. Also, in some literature studies, biofilm density was introduced as a function of hydrodynamic properties of the bioreactor (Chang et al, 1991;Shieh and Keenan, 1986). …”

Section: Introductionmentioning

confidence: 99%

Prediction of average biofilm density and performance of a spherical bioparticle under substrate inhibition

Tanyolaç

Beyenal

1997

Biotechnol. Bioeng.

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In this article, a model was proposed to predict the average performance and biofilm density of a spherical bioparticle under substrate inhibition in a fluidized bed system. The average biofilm density and substrate consumption rates were predicted for a definite biofilm thickness and limiting substrate concentrations. A diffusion and reaction model was developed over the bioparticle with biofilm‐density dependent effective diffusion coefficients for maximum substrate consumption theory. This theory predicts the optimum density of a biofilm to yield a maximum substrate consumption rate within the biofilm, developed for the first time with this study and experimentally verified. A good correlation was observed between the model prediction and experimental results for biofilm density and substrate consumption rates. © 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 56: 319–329, 1997.

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“…Similarly, entrapment requires specialised chemicals such as bioglues, which can prove too expensive. Apart from the membrane bioreactors, there are several other types of biofilm reactors such as the fluidised bed biofilm reactor (FBBR, [8][9]) and packed bed reactor [10]. Both types of reactors have been proven to offer a high biomass holdup which enables high liquid throughputs and high residence time using the natural cell immobilisation and have been found to be successful for both aerobic and anaerobic cultures.…”

Section: Introductionmentioning

confidence: 99%

Characterisation of spin coated engineered Escherichia coli biofilms using atomic force microscopy

Tsoligkas

Bowen

Winn

et al. 2012

Colloids and Surfaces B: Biointerfaces

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The ability of biofilms to withstand chemical and physical extremes gives them the potential to be developed as robust biocatalysts. Critical to this issue is their capacity to withstand the physical environment within a bioreactor; in order to assess this capability knowledge of their surface properties and adhesive strength is required. Novel atomic force microscopy experiments conducted under growth conditions (30 o C) were used to characterise Escherichia coli biofilms, which were generated by a recently developed spin-coating method onto a poly-L-lysine coated glass substrate. High-resolution topographical images were obtained throughout the course of biofilm development, quantifying the tip-cell interaction force during the 10 day maturation process. Strikingly, the adhesion force between the Si AFM tip and the biofilm surface increased from 0.8 nN to 40 nN within 3 days. This was most likely due to the production of extracellular polymer substance (EPS), over the maturation period, which was also observed by electron microscopy. At later stages of maturation, multiple retraction events were also identified corresponding to biofilm surface features thought to be EPS components. The spin coated biofilms were shown to have stronger surface adhesion than an equivalent conventionally grown biofilm on the same glass substrate.

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Fluidized bed biofilm reactor for wastewater treatment

Cited by 91 publications

References 26 publications

Respirometric assay for biofilm kinetics estimation: Parameter identifiability and retrievability

Respirometric assay for biofilm kinetics estimation: Parameter identifiability and retrievability

Prediction of average biofilm density and performance of a spherical bioparticle under substrate inhibition

Characterisation of spin coated engineered Escherichia coli biofilms using atomic force microscopy

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