Penicillin production in an inverse fluidized bed bioreactor

Ramsay, Bruce A.; Wang, Daguang; Chavarie, C.; Rouleau, D.; Ramsay, J. O.

doi:10.1016/0922-338x(91)90064-n

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…They have analysed the effect of diameter of concentric tubes, liquid level, bed properties and gas flow rate on gas holdup, bed expansion and liquid circulation velocity. Ramsay and coworkers [2] have discussed penicillin production in an IFBBR. Benedict and coworkers [3] report experimental studies on bed expansion and pressure drop in a liquid-solid inverse fluidized bed reactor (IFBR).…”

Section: Introductionmentioning

confidence: 98%

Studies on Performance Analysis and Computer Aided Design of Inverse Fluidized Bed Bioreactors with Nanosupport Particles

Narayanan

Monangi

Prasad

et al. 2014

International Journal of Chemical Reactor Engineering

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Attempts have been made to propose a modified design of inverse fluidized bed bioreactor (IFBBR) that utilizes immobilized enzyme nanosilica particles. The substrate solution is mixed uniformly with nanosilica particles, and the resultant slurry flows down the reactor keeping particles in suspension. The performance characteristics of the bioreactor of proposed design have been analysed both mathematically and experimentally. In the mathematical analysis, dispersed flow of suspension down the reactor tubes has been assumed. The mathematical results (from the developed software package) agree closely with the experimental results, the maximum deviation being 9.5%. The bioreactor provides high fractional conversion at high substrate flow rates, but demands low reactor volume. In addition, the operating cost of the reactor is substantially low. In reactors of this kind, resistance to substrate transfer into the support particles (nanoparticles) is negligible, and the global rate is essentially equal to the intrinsic rate (as the computed value of effectiveness factor is equal to unity for different types of kinetic equations and within wide range of substrate concentration). This must be attributed to the nanosize and consequent large specific surface of support particles. The present design of IFBBR is thus anticipated to be quite attractive for successful industrial adaptation.

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Section: Introductionmentioning

confidence: 98%

Studies on Performance Analysis and Computer Aided Design of Inverse Fluidized Bed Bioreactors with Nanosupport Particles

Narayanan

Monangi

Prasad

et al. 2014

International Journal of Chemical Reactor Engineering

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“…Inverse three-phase fluidized beds are not affected by this problem and have been successfully applied to wastewater treatment [8] and biochemical reactors. [9] Sivasubramanian and Velan [10] studied the hydrodynamics of two-phase and three-phase [11] inverse fluidized bed reactors and applied the modified gas pertubed liquid model (GPLM) to predict minimum fluidization velocity with Newtonian and non-Newtonian fluids.…”

Section: Introductionmentioning

confidence: 99%

Gas–liquid mass transfer in three‐phase inverse fluidized bed reactor with Newtonian and non‐Newtonian fluids

Sivasubramanian

2009

Asia-Pacific J Chem Eng

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Liquid-phase volumetric mass transfer coefficients, k L a were determined in three-phase inverse fluidized beds of low-density polyethylene (LDPE) and polypropylene (PP) spheres fluidized by a countercurrent flow of air and Newtonian (water and glycerol solutions) or non-Newtonian liquids [carboxy methyl cellulose (CMC) solutions]. The effects of liquid and gas velocities, particle size, solid loading and addition of organic additives (glycerol and CMC) on the volumetric mass transfer coefficient, k L a were determined. The superficial liquid velocity had a weak effect on the mass transfer whereas the gas flow rate affected the mass transfer positively. k L a increased with increase in particle diameter and decreased with increase in initial bed height (solid loading). k L a decreased as the concentration of glycerol (viscosity) and CMC increased. Empirical correlations are presented to predict the gas-liquid volumetric mass transfer coefficient in terms of operating variables. 

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“…1 Inverse fluidization finds applications in biological wastewater treatment and in the field of environmental biotechnology. 2,3 Inverse fluidization plays an important role in achieving biofilm thickness control in a very narrow range. 4 Karamanev and Nikolov 5 studied the bed expansion characteristics of two-phase inverse fluidization using 12 different spheres with diameters from 1.31 to 7.24 mm and densities between 75 and 930 kg m −3 and water.…”

Section: Introductionmentioning

confidence: 99%

Modified gas‐perturbed liquid model (GPLM) for minimum fluidization velocity in a two‐phase inverse fluidized bed reactor with Newtonian and non‐Newtonian systems

Sivasubramanian

Velan

2006

J of Chemical Tech & Biotech

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In the present investigation minimum fluidization velocity, U mf , in a two-phase inverse fluidized bed reactor is determined using low-density polyethylene and polypropylene particles of different diameters (4,6 and 8 mm) by measuring pressure drop. In a glycerol system U mf decreased gradually with increase in viscosity up to a value of 6.11 mPa s (60%) and on further increase there was a slight increase in U mf . In the case of the glycerol system the U mf was found to be higher when compared to water. In the non-Newtonian system (carboxymethylcellulose), U mf decreased with increase in concentration in the range of the present study. The U mf was found to be lower when compared to water as liquid phase. The modified gas-perturbed liquid model was used to predict the minimum fluidization liquid velocity (U lmf ) for Newtonian and non-Newtonian systems.

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Penicillin production in an inverse fluidized bed bioreactor

Cited by 9 publications

References 11 publications

Studies on Performance Analysis and Computer Aided Design of Inverse Fluidized Bed Bioreactors with Nanosupport Particles

Studies on Performance Analysis and Computer Aided Design of Inverse Fluidized Bed Bioreactors with Nanosupport Particles

Gas–liquid mass transfer in three‐phase inverse fluidized bed reactor with Newtonian and non‐Newtonian fluids

Modified gas‐perturbed liquid model (GPLM) for minimum fluidization velocity in a two‐phase inverse fluidized bed reactor with Newtonian and non‐Newtonian systems

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