Application of artificial neural network model for the development of optimized complex medium for phenol degradation using Pseudomonas pictorum (NICM 2074)

Abramowicz DA (1990) Aerobic and an aerobic biodegradation of PCBs a review. Crit Rev Biotechnol 10:241–251 Akay G, Erhan E, Keskinler B (2005) Bioprocess intensification in flow-through monolithic microbioreactors with immobilized bacteria. Biotechnol Bioeng 90:180–190 Alessandro DA, Marika R, Vanessa L, Daniele Q, Enrico M, Maurizio P (2005) Degradation of aromatic hydrocarbons by white-rot fungi in a historically contaminated soil. Biotechnol Bioeng 90:723–731 Alexander M (1999) Biodegradation and Bioremediation. Academic Press, San Diego, California Angela RB, Todd C (2005) Dual substrate biodegradation of a nonionic surfactant and pentachlorophenol by Sphingomonas chlorophenolica RA2. Biotechnol Bioeng 89:680–689 Alvarez PJJ, Anid PJ, Vogel TM (1991) Kinetics of aerobic biodegradation of benzene and toluene in sandy aquifer material. Biodegradation 2:43–51 Andre NP, Bernard A, Grandijean, Jules T (1993) PVT data analysis using neural network models. Ind Eng Chem Res 32:970–975 Annadurai G, Raju V, Cellapandian M, Krishnan MRV (1996) Citric acid production. Bioprocess Eng 16:13–15 Arinjay K, Shashi K, Surendra K (2005) Biodegradation kinetics of phenol and catechol using Pseudomonas putida MTCC 1194. Biochem Eng J 22(2):151–159 Baker KH, Herson DS (1994) Bioremediation. McGraw Hill, New York Bhat NV, Peter A, Mindermen JT, Nam SH (1990) Modeling chemical process system via neutral computation. IEEE Control Syst 10:24–30 Box GEP, Behnken DW (1960) Some new three level design for the study of quantative variables. Technometrics 2:455–475 Bruno G (2005) Compound-specific stable-isotope (13 C) analysis in soil science. J Plant Nutr Soil Sc 168:633–648 Chitra S, Gowri GC (1996) Response of phenol degradation Pseudomonas pictorium to changing loads of phenolic compounds. J Environ Sci Health A31(3):599–619 Clessceri WG, Trossel AF (1989) Standard methods for the determination of water and waste water. American Public Health Allocation, Washington, DC 2005, pp 5.48–5.53 Cochran WG, Cox DW (1968) Experimental design. John Wiley and Sons. Inc, New York, pp 611–626 Duncan IS, Paul CN (2004) Application of the operation window concept to n remediation option selection. Remed J 14:55–64 George AS, Makram DV, Radisav VM, Stephen MV (1993) Competitive adsorption of phenols on GAC 11. Adsorption dynamics under anoxic conductions. J␣Environ Engg Div ASCE 19:1044–1088 Giorgia S, Marco DF (2005) Modeling of a vapor-phase fungi bioreactor for the abatement of hexane: fluid dynamics and kinetic aspects. Biotechnol Bioeng 89:319–328 Hardman DJ, McElddowney S., Waite S (1993) Pollution ecology and biotreatment. Longman Scientific and Technical, U.K Hopffield JJ (1992) Neural networks and physical systems with emergent collective computational abilities. Proc Natt Acad Sci USA 79:2554–2558 Illaria G, Stephen M, Ibrahim MB (2003) Bacterial biodegradation of phenol and 2,4,-dichlorophenol. J␣Chem Technol Biotechnol 78:959–963 Inniss WE (1976) Interaction of temperature on organophilic microogranisms. Annu Rev Microbiol 29:445–465 Jiang Y, Wen J, Li H, Yang S, Hu Z (2005) The biodegradation of phenol at high initial concentration by the yeast Candida tropicalis. Biochem Eng J 24(3):243–247 Kim JW, Armstrong ME (1981) Comprehensive study on the biological treatabilities of phenol and methanol II. The effects of temperature, pH salinity and neutrients. Water Res 15:1238–1247 Kuo CC, Jane YW, Wen BY, Szchwun JH (2003) Evaluation of effective diffusion coefficient and intrinsic kinetic parameters on azo dye biodegradation using PVA-immobilized cell beads. Biotechnol Bioeng 83:821–832 Kushner DJ (1978) Micriobial life at low temperature chemical evolution of the giant planets. Academic Inc., New York pp 85–93 Mahadeva S, Mall ID, Prasad B, Mishra LM (1997) Removal of phenol by adsorption on coal fly ash and activated carbon. Poll Res 16(3):170–175 Marc R, James U (2005) Rhodococcus phenolicus sp. a novel bioprocessor isolated actinomycete with the ability to degrade chlorobenzene, dichlorobenzene and phenol as sole carbon sources. Syst Appl Microbiol 28(8):695–701 Mark TB, Vissanu M, Phillip CW (2002) Kinetic analyisi of high-concentration isopropanol biodegradation by a solvent-tolerant mixed nicrobial culture. Biotechnol Bioeng 78:708–713 Mario Z, Attilio C, Renzo DF (2003) Macrokinetic and quantitative microbial investigation on a benchscale biofilter treating styrene-polluted gaseous streams. Biotechnol Bioeng 83:29–38 Manivasakam N (1984) Industrial effluents origin, characteristics effects analysis and treatment. Sakthi Publications, Coimbatore, India, pp 458–463 Mathalai Balan S, Annadurai G, Sheja RY, Srinivasamoorthy VR, Murugesan T (1999) Modeling of phenol degradation system using artificial neural networks. Bioprocess Eng 21:129–134 Ming JL, Joi TC (1974) Fluid property predictions with the aid of neural networks. End Eng Chem Res 37:995–997 Murty SSN, Ravi V, Reddy PJ, Reddy RC (1997) Artificial neural networks applied to defluoridation. Poll Res 16(1):177–182 Myung KC, Thomas CV, Craig SC (1993) Kinetic of competitive inhibition and cometabolism in the biodegradation of benzene, toluene, and p-xylene by two pseudomonas isolates. Biotechnol Bioeng 41:1057–1065 Novak JT (1974) Temperature—substrate interactions in biological treatment. J Water Pollut Control Fed 46:1984–1986 Polland IF, Brouthsond MR, Garrison DE, San KY (1992) Process identification using neural network. Comput Chem Eng 16(4):253–270 Pandey G, Jain RK (2002) Bacterial chemotaxis toward environmental pollutants: role in bioremediation. Appl Environ Microbiol 68:5789–5795 Prevost A, Isambert D, Depeyrne C, Dunadille A, Preibbe R (1994) Some practical insights into neural network implementation in the metallurgical industry. Comput Chem Eng 18:1157–1170 Qian N, Senjnowski TJ (1988) Predicting the secondary structure of globular proteins wing neural network models. J Mol Biol 202:865–884 Rakesh Kumar J, Manisha K, Sumeet L, Banwari L, Priyangshu Manab S, Dhruva B, Indu Shekhar T (2005) Microbial diversity: application of microorganisms for the biodegradation of xenobiotics. Curr Sci 89(1):101–112 Ravi V, Reddy PJ, Reddy RC (1995) Multiple regression analysis applied to defluoridation. Indian J Environ Prot 16:528–533 Rumelhert DE, Hinton E, Williams RJ (1986) Learning internal representations by error propagation paraller distributed processing. In: Rumelhert DE, McCellord JC (eds) Explorations, MIT Press, Cambridge, Mass Safonova KV, Kvitko MI, Lankevitch LF, Surgko IA, Afti WR (2004) Biotreatment of industrial wastewater by selected algal-bacterial consortia. Eng Life Sci 4:347–353 Sejnowski TJ, Rosenberg CR (1987) Parallel networks that learn to prononuce English text. Comp Syst 1:145–168 Shingleton JT, Applegate BA, Baker AJ, Bienkowski PR (2001) Quantification of toluene dioxygenase induction and kinetic modeling of TCE cometabolism by pseudomonas putida TVA8. Biotechnol Bioeng 76:341–350 Tawtiki KH, Lepine F, Bisaillon JG, Beaudet R, Haeari J, Guiot SR (2000) Effects of bioaugmentation strategies in UASB reactors with a methanogenic consortium for removal of phenolic compounds. Biotechnol Bioeng 67:100–109 Tesauro G, Sejnowski TJ (1989) A parallel network that learns to play backgammon language. Artif Intell 37:357–390 Tesema C (2005) Remediation of persisitent organic pollutants (POPs) in two different soils. Remed J 16:117–139 Thibault J, Breusegam VV, Chervy A (1990) On line prediction of fermentation variables using neural networks. Biotechnol Bioeng 30(2):1041–1048 Truu JL, Karme ET, Heinaru EE, Vedler AH (2003) Phytoremediation of solid oil shale waste form the chemical industry. Acta Biotechnol 23:301–307 Tsuey PC, Pei CW, Ruey SJ (2004) Process development for degradation of phenol by Pseudomonas putida in hollow-fiber membrane bioreactors. Biotechnol Bioeng 87(2):219–227 Vela GR, Rainey JR (1976) Microbial degradation of phenol in the effluent from a water treatment. Tex J Sci 27:197–206 Vela GR, James RR (1978) The effect of temperature on phenol degradation in waste water. Can J Microbiol 24:1366–1370 Venkatasubramanian V, Vaidyanathan R, Yamamoto Y (1990) Process fault detection and diagnosis using neural network—1. Steedy state process. Comput Chem Eng 14:666–712 Vera LS, Nadia MH, Danubia TB, Andrea SM, Valter RL (2003) Phenol degradation by a Graphium sp. FIB4 isolated from industrial effluents. J Basic Microbiol 43:238–248 Villaverde S, Mirpuri PG, Zbigniew L, Jones WL (1997) Physiological and chemical gradients in a pseudomonas putida 54G biofilm degradating toluene in a plate vapor phase bioreactor. Biotechnol Bioeng 56:361–371 WHO (1989) Environmental health criteria, 93: Chlorophenols other than pentachlorophenols. World Health Organization, Geneva Widrow B, Hoff M (1960). Adaptive switching circuits. IRF WESCON Convnetion Record Part 4:96–104 Yamuna Rani K, Ramachandra Rao R (1999) Control of fermentans. A review. Bioprocess Eng 21:77–88