Biodegradation of phenol by arthrobacter and modelling of the kinetics

Vijayaraghavan, S.; Srinivasaraghavan, T.; Musti, S.; Kar, Sanjay Kumar; Swaminathan, T.; Baradarajan, A.

doi:10.1007/bf00369495

Cited by 16 publications

(1 citation statement)

References 9 publications

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“…Contrary, when the flow-rate is high, the cells do not have enough time to degrade the phenol. Therefore, small stepwise increases in phenol concentration at a fixed low dilution rate or alternatively changes of the dilution rate should be directly related to the cells [40][41][42][43].…”

Section: Monitoring Biodegradation Of Phenolmentioning

confidence: 99%

Spectrophotometric verification of biodegradation of phenol in a flow dynamic biocers-based bioreactor system

Mkandawire

Förster

Fiedler

et al. 2009

International Journal of Environmental Analytical Chemistry

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Section: Monitoring Biodegradation Of Phenolmentioning

confidence: 99%

Spectrophotometric verification of biodegradation of phenol in a flow dynamic biocers-based bioreactor system

Mkandawire

Förster

Fiedler

et al. 2009

International Journal of Environmental Analytical Chemistry

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Inhibition kinetics of phenol degradation from unstable steady-state data

Schröder¹,

Müller²,

Posten³

et al. 1997

Biotechnol. Bioeng.

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Multiplicity of steady states of a continuous culture with an inhibitory substrate was used to estimate kinetic parameters under steady‐state conditions. A continuous culture of Pseudomonas cepacia G4, using phenol as the sole source of carbon and energy, was overloaded by increasing the dilution rate above the critical dilution rate. The culture was then stabilized in the inhibitory branch by a proportional controller using the carbon dioxide concentration in the reactor exhaust gas as the controlled variable and the dilution rate as the manipulated variable. By variation of the set point, several unstable steady states in the inhibitory branch were investigated and the specific phenol conversion rates calculated. In addition, phenol degradation was investigated under substrate limitation (chemostat operation). The results show that the phenol degradation by P. cepacia can be described by the same set of inhibition parameters under substrate limitation and under high substrate concentrations in the inhibitory branch. Biomass yield and maintenance coefficients were identical. Fitting of the data to various inhibition models resulted in the best fit for the Yano and Koga equation. The well‐known Haldane model, which is most often used to describe substrate inhibition by phenol, gave the poorest fit. The described method allows a precise data estimation under steady‐state conditions from the maximum of the biological reaction rate up to high substrate concentrations in the inhibitory branch. Inhibition parameter estimation by controlling unstable steady states may thus be useful in avoiding discrepancies between data generated by batch runs and their application to continuous cultures which have been often described in the literature. © 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 54: 567–576, 1997.

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