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Batch biodegradation of para-nitrophenol using Arthrobacter chlorophenolicus A6
Naresh K Sahoo1, Kannan Pakshirajan, P K Ghosh
1Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
Applied Biochemistry and Biotechnology
|September 20, 2011
Summary
Arthrobacter chlorophenolicus A6 exhibits substrate inhibition kinetics for p-nitrophenol (PNP) biodegradation. The Webb model best described the biodegradation process across various PNP concentrations.
Area of Science:
- Environmental microbiology
- Biotechnology
- Biochemical engineering
Background:
- p-nitrophenol (PNP) is a toxic pollutant requiring effective biodegradation strategies.
- Arthrobacter chlorophenolicus A6 is a known microorganism capable of degrading phenolic compounds.
Purpose of the Study:
- To investigate the biodegradation kinetics of p-nitrophenol (PNP) by Arthrobacter chlorophenolicus A6.
- To determine the kinetic model that best describes PNP biodegradation under substrate inhibition conditions.
Main Methods:
- Batch shake flask experiments were conducted with initial PNP concentrations ranging from 25-225 mg/l.
- Biokinetic constants were estimated by fitting experimental data to various substrate inhibition kinetics models.
- The Webb model was identified as the best fit using root mean square error analysis.
Main Results:
- Arthrobacter chlorophenolicus A6 demonstrated substrate inhibition kinetics for PNP biodegradation, with a decay coefficient of 0.0132 h(-1).
- The Webb model provided the best fit to the experimental data, yielding kinetic constants: μ=0.161 h(-1), Ki=128 mg/l, Ks=60.15 mg/l, and K=100 mg/l.
- Observed and theoretical yield coefficients, maintenance energy, and specific growth rates were also determined.
Conclusions:
- The study successfully characterized the substrate inhibition kinetics of PNP biodegradation by Arthrobacter chlorophenolicus A6.
- The Webb model is suitable for describing this biodegradation process, providing valuable parameters for bioreactor design and optimization.
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