Optimization of naphthalene biodegradation by a genetic algorithm based response surface methodology

Brazilian Journal of Chemical Engineering

Volumn 27, Issue 1, 2010, Pages 89-99

  Zafar, M ^a   Kumar, Shashi ^a   Kumar, Surendra ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Biodegradation; Genetic Algorithm; Naphthalene; Plakett Burman design; Response Surface Methodology

Indexed keywords

BACTERIA; CARBON; CITRIC ACID; EFFICIENCY; GENETIC ALGORITHMS; NAPHTHALENE; OPTIMIZATION; SODIUM; SODIUM CHLORIDE; SODIUM SULFATE; SURFACE PROPERTIES;

BACTERIAL STRAINS; BIODEGRADATION EFFICIENCY; INTERACTIVE EFFECT; NAPHTHALENE BIODEGRADATION; PLAKETT-BURMAN DESIGN; PSEUDOMONAS PUTIDA; RESPONSE SURFACE METHODOLOGY; THREE-DIMENSIONAL SURFACE;

BIODEGRADATION;

EID: 77952084974     PISSN: 01046632     EISSN: None     Source Type: Journal    
DOI: 10.1590/S0104-66322010000100008     Document Type: Article

References (20)

1. Annuar, M. S. M., Tan, I. K. P., Ibrahim, S. and Ramachandran, K. B., Ammonium uptake and growth kinetics of Pseudomonas putida PGA1. Asia Pacific Journal of Molecular Biology and Biotechnology, v. 14 (1), 1-10 (2006).
2. Ascon-Cabrera, M. and Lebeault, J. M., Selection of xenobiotic degrading microorganisms in a biphasic aqueous organic system. Applied and Environmental Microbiology, v. 59 (6), 17171724 (1993).
3. Boonchen, S., Britz, M. L. and Stanley, G. A., Degradation and mineralization of High-molecular weight Polycyclic Aromatic Hydrocarbon by Defined Fungal-Bacterial Cocultures. Applied and Environmental Microbiology, v. 66 (3), 1007-1019 (2000).
4. Cox, D. P., Kapicak, L. A. and Williams, A. C., The effect of glucose on naphthalene metabolism by Pseudomonas putida 119 in batch culture. FEMS Microbiology Letters, v. 5 (3), 197-199 (1979).
5. Desai, K. M., Akolkar, S. K., Badhe, Y. P., Tambe, S. S. and Lele, S. S., Optimization of fermentation media for exopolysaccharide production from Lactobacillus plantarum using artificial intelligence based techniques. Process Biochemistry, v. 41, 1842-1848 (2006).
6. Filonov, A. E., Karpov, A. V., Kosheleva, I. A., Puntus, I. F., Balashova, N. V. and Boronin, A. M., The efficiency of salicylate utilization by Pseudomonas putida strains catabolizing naphthalene via different biochemical pathways. Process Biochemistry, v. 35, 983-987 (2000).
7. Franco-Lara, E., Link, H. and Weuster-Botz, D., Evaluation of artificial neural network for modeling and optimization of medium composition with a genetic algorithm. Process Biochemistry, v. 41, 2200-2206 (2006).
8. Gaitonde, V. N., Karnik, S. R., Achyutha, B. T. and Siddeswarappa, B., GA application to RSM based models for burr size reduction in drilling. Journal of Scientific & Industrial Research, v. 64, 347 (2005).
9. Kuntiya, A., Nicolella, C., Pyle, L. and Poosaran, N., Effect of sodium chloride on cell surface hydrophobicity and formation of biofilm in membrane bioreactor. Songklanakarin Journal of Science and Technology, v. 27 (5), 1073-1082 (2005).
10. Lee, K., Park, J. and Ahn, I., Effect of additional carbon source on naphthalene biodegradation by Pseudomonas putida G7. Journal of Hazardous Materials, B105, 157-167 (2003).
11. Martin, A. and Sivagurunathan, M., Optimization of the biodegradation of naphthalene by a microorganism isolated from petroleum contamination soil. Communication in Agricultural and Applied Biological Sciences, v. 68 (2Pt A), 175-180 (2003).
12. Mollea, C., Bosco, F. and Ruggeri, B., Fungal biodegradation of naphthalene: microcosms studies. Chemosphere, v. 60, 636-643 (2005).
13. Montgomery, D. C., Design and Analysis of Experiments. John Wiley & Sons (Asia) Pvt. Ltd., Singapore (2004).
14. Moreira, G. A., Michelouf, G. A., Beccaria, A. J. and Goicoechea, H. C., Optimization of the Bacillus thuringiensis var. kurstaki HD-1δ-endotoxins production by using experimental mixture design and artificial neural networks. Biochemical Engineering Journal, v. 35, 48-55 (2007).
15. Nagata, Y. and Chu, H. K., Optimization of a fermentation medium using neural network and genetic algorithms. Biotechnology Letters, v. 25, 1837-1842 (2003).
16. Nigam, P., Banat, I. M., Marchant, R. and Singh, D., Degradation of naphthalene by bacterial culture. Environment International, v. 24 (5/6), 671-677 (1998).
17. Rao, S. C., Sathish, T., Mahalaxmi, M., Laxmi, G. S., Rao, S. R. and Prakasham R S., Modelling and Optimization of fermentation factors for enhancement of alkaline protease production by isolated Bacillus circulans using feed-forward neural network and genetic algorithm. Journal of Applied Microbiology, v. 104, 889-898 (2007).
18. Samanta, S. K., Singh, O. V. and Jain, R. K., Polycyclic aromatic hydrocarbons: environmental pollution and bioremediation. Trends in Biotechnology, v. 20 (6), 243-248 (2002).
19. Weuster-Botz, D., Experimental design for fermentation media development: Statistical design of global random search? Journal of Bioscience and Bioengineering, v. 90 (5), 473483 (2000).
20. Wilson, S. C. and Jones, K. C., Bioremediation of soil contaminated with polynuclear aromatic hydrocarbon (PAHs): A Review. Environmental Pollution, v. 81, 229-249 (1993).