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Implementation of response surface methodology for phenol degradation using Pseudomonas putida (NCIM 2102) | OMICS International | Abstract
ISSN: 2155-6199

Journal of Bioremediation & Biodegradation
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Research Article

Implementation of response surface methodology for phenol degradation using Pseudomonas putida (NCIM 2102)

V.Sridevi1*, M.V.V.Chandana Lakshmi1, A.V.N. Swamy2 and M. Narasimha Rao3
1Centre for Biotechnology, Department of Chemical Engineering, Andhra University, Visakhapatnam-03, Andhra Pradesh, India
2Department of Biotechnology, J.N.T.U, Pulivendula, Anantapur Dist. Andhra Pradesh, India
3Al-Ameer College of Engineering and Information Technology, College of Engineering, Gudilova, Anandapuram, Visakhapatnam, Andhra Pradesh, India
Corresponding Author : Dr. V. Sridevi
Associate Professor, Centre for Biotechnology
Department of Chemical Engineering, Andhra University Visakhapatnam-03, Andhra Pradesh, India
E-mail: vellurusridevi@yahoo.co.in
Received March 29, 2011; Accepted June 21, 2011; Published June 22, 2011
Citation: Sridevi V, Lakshmi MVVC, Swamy AVN, Rao MN (2011) Implementation of response surface methodology for phenol degradation using Pseudomonas putida (NCIM 2102). J Bioremed Biodegrad 2:121. doi:10.4172/2155-6199.1000121
Copyright: © 2011 Sridevi V. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Phenol, a major pollutant in several industrial wastewaters is often used as a model compound for studies on biodegradation. Experiments were performed as a function of glucose (0.4-1.6 g/l), ammonium sulfate (0.5- 2.0 g/l) and concentration of metal ion, Mn2+ (0.01-0.04 g/l) by Pseudomonas putida (NCIM 2102), at constant phenol concentration 0.100 gL-1. Optimization of these three process parameters for phenol degradation was studied. Statistically designed experiments using response surface methodology (RSM) was used to get more information about the significant effects and the interactions between the three parameters. A 23 full - factorial central composite designed technique was employed for experimental design and analysis of the results. The optimum process conditions for maximizing phenol degradation (removal) were recognized as follows; glucose (0.8229 g/l), ammonium sulphate(1.5183 g/l) and metal ion concentration, [Mn2+.]( 0.0195 g/l) A maximum % phenol degradation of 98.24 was obtained at these optimum parameters.

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