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2 results on '"Cupriavidus taiwanesis"'

1. Exploring Kinetics of Phenol Biodegradation by Cupriavidus taiwanesis 187.

Author

Yu-Hong Wei, Wei-Chuan Chen, Shan-Ming Chang, and Bor-Yann Chen

Subjects
*PHENOLS, *BIODEGRADATION, *POLYNOMIALS, *ENZYME kinetics, *ALGORITHMS
Abstract

Phenol biodegradation in batch systems using Cupriavidus taiwanesis 187 has been experimentally studied. To determine the various parameters of a kinetic model, combinations of rearranged equations have been evaluated using inverse polynomial techniques for parameter estimation. The correlations between lag phase and phase concentration suggest that considering phenol inhibition in kinetic analysis is helpful for characterizing phenol degradation. This study proposes a novel method to determine multiplicity of steady states in continuous stirred tank reactors (CSTRs) in order to identify the most appropriate kinetics to characterize the dynamics of phenol biodegradation. [ABSTRACT FROM AUTHOR]

Published
2010
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2. Exploring Kinetics of Phenol Biodegradation by Cupriavidus taiwanesis 187

Author

Shan-Ming Chang, Wei-Chuan Chen, Yu-Hong Wei, and Bor-Yann Chen

Subjects
Kinetics, stability analysis, Models, Biological, biodegradation, Catalysis, Phenol degradation, Article, Inorganic Chemistry, lcsh:Chemistry, chemistry.chemical_compound, Phase (matter), Organic chemistry, Phenol, Physical and Theoretical Chemistry, Molecular Biology, Phenol biodegradation, lcsh:QH301-705.5, Spectroscopy, Kinetic model, biology, Chemistry, Haldane’s model, Organic Chemistry, Cupriavidus, General Medicine, kinetic model, Biodegradation, biology.organism_classification, Computer Science Applications, Chemical engineering, lcsh:Biology (General), lcsh:QD1-999, phenol degradation, Cupriavidus taiwanesis
Abstract

Phenol biodegradation in batch systems using Cupriavidus taiwanesis 187 has been experimentally studied. To determine the various parameters of a kinetic model, combinations of rearranged equations have been evaluated using inverse polynomial techniques for parameter estimation. The correlations between lag phase and phase concentration suggest that considering phenol inhibition in kinetic analysis is helpful for characterizing phenol degradation. This study proposes a novel method to determine multiplicity of steady states in continuous stirred tank reactors (CSTRs) in order to identify the most appropriate kinetics to characterize the dynamics of phenol biodegradation.

Published
2010

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