Neural and Hybrid Optimizations of the Fed-Batch Synthesis of Poly-β-Hydroxybutyrate by Ralstonia eutropha in a Nonideal Bioreactor

REFERENCES

• Aldor , I. S. and Keasling , J. D. 2003 . Process design for microbial plastic factories: metabolic engineering of polyhydroxyalkanoates . Curr. Opin. Biotechnol. , 14 : 475 – 483 .
   PubMed Web of Science ®Google Scholar
• Anderson , A. J. and Dawes , E. A. 1990 . Occurrence, metabolism, and industrial uses of bacterial polyhydroxyalkanoates . Microbiol. Rev. , 54 : 450 – 472 .
   PubMedGoogle Scholar
• Aragao , G. M. F. , Lindley , N. D. , Uoibelarrea , J. L. and Parcilleux , A. 1996 . Maintaining a controlled residual growth capacity increases the production of polyhydroxyalkanoate copolymers by Alcaligenes eutrophus . Biotechnol Lett. , 18 : 937 – 942 .
   Google Scholar
• Asenjo , J. A. and Suk , J. S. 1985 . Kinetics and models for the bioconversion of methane into an intracellular polymer, poly-β -hydroxybutyrate (PHB) . Biotechnol. Bioeng. Symp. , 15 : 225 – 234 .
   Google Scholar
• Babel , W. , Ackerman , J. -U. and Breuer , U. 2001 . Physiology, regulation, and limits of the synthesis of poly(3HB) . Adv. Biochem. Eng. Biotechnol. , 71 : 125 – 157 .
   PubMedGoogle Scholar
• Braunegg , G. , Lefebre , G. and Genser , K. F. 1998 . Polyhydroxyalkanoates: biopolymers from renewable resources: physiological and engineering aspects . J. Biotechnol. , 65 : 127 – 161 .
   PubMed Web of Science ®Google Scholar
• Chen , L. Z. , Nguang , S. K. , Li , X. M. and Chen , X. D. 2004 . Soft sensors for on-line biomass measurements . Bioproc. Biosyst. Eng. , 26 : 191 – 195 .
   Google Scholar
• Chen , V. C. P. and Rollins , D. K. 2000 . Issues regarding artificial neural network modeling of reactors and fermenters . Bioproc. Biosyst. Eng. , 22 : 85 – 93 .
   Web of Science ®Google Scholar
• Dochain , D. and Perrier , M. 1997 . Dynamic modelling, analysis, monitoring and control design for nonlinear bioprocesses . Adv. Biochem. Eng. Biotechnol. , 56 : 147 – 197 .
   Google Scholar
• Doi , Y. 1990 . Microbial Polyesters , New York : VCH .
   Google Scholar
• Dumitrache , I. and Caramihai , M. 2001 . Optimal fed-batch bioprocess control via intelligent system based on hybrid techniques . Control Eng. Appl. Inform. , 3 : 5 – 14 .
   Google Scholar
• Galvanauskas , V. , Simutis , R. and Lubbert , A. 2004 . Hybrid process models for process optimization, monitoring and control . Bioproc. Biosyst. Eng. , 26 : 393 – 400 .
   PubMed Web of Science ®Google Scholar
• Glassey , J. , Montague , G. A. , Ward , A. C. and Kara , B. V. 1994 . Enhanced supervision of recombinant E. coli fermentations via artificial neural networks . Process Biochem. , 29 : 387 – 398 .
   Google Scholar
• Jendrossek , D. 2001 . Microbial degradation of polyesters . Adv. Biochem. Eng. Biotechnol. , 71 : 193 – 325 .
   Google Scholar
• Khanna , S. and Srivastava , A. K. 2005a . Recent advances in microbial polyhydroxyalkanoates . Process Biochem. , 40 : 607 – 619 .
   Web of Science ®Google Scholar
• Khanna , S. and Srivastava , A. K. 2005b . A simple structured mathematical model for biopolymer (PHB) production . Biotechnol. Prog. , 21 : 830 – 838 .
   PubMed Web of Science ®Google Scholar
• Khanna , S. and Srivastava , A. K. 2005c . Computed aided fed-batch cultivation for over-production of PHB: a comparison of simultaneous and alternate feeding of carbon and nitrogen . Biochem. Eng. J. , 27 : 197 – 203 .
   Google Scholar
• Koyama , N. and Doi , Y. 1993 . Production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) from various carbon sources by fed-batch cultures of Alcaligenes eutorphus . J. Environ. Polym. Degrad. , 3 : 235 – 240 .
   Google Scholar
• Leaf , T. A. and Srienc , F. 1998 . Metabolic modeling of polyhydroxybutyrate biosynthesis . Biotechnol. Bioeng. , 57 : 557 – 570 .
   PubMed Web of Science ®Google Scholar
• Lee , S. Y. 1996 . Bacterial polyhydroxyalkanoates . Biotechnol. Bioeng. , 49 : 1 – 14 .
   PubMed Web of Science ®Google Scholar
• Lee , S. Y. and Choi , J. 2001 . Production of microbial polyester by fermentation of recombinant microorganisms . Adv. Biochem. Eng. Biotechnol. , 71 : 185 – 207 .
   Google Scholar
• Lee , J. H. , Lim , H. C. and Hong , J. 1997 . Application of nonsingular transformation to on-line optimal control of poly-β -hydroxybutyrate fermentation . J. Biotechnol. , 55 : 135 – 150 .
   Web of Science ®Google Scholar
• Liden , G. 2002 . Understanding the bioreactor . Bioproc. Biosyst. Eng. , 24 : 273 – 279 .
   Google Scholar
• Masters , T. 1993 . Practical Neural Network Recipes in C++ , San Diego : Academic Press .
   Google Scholar
• Mayr , B. , Horvat , P. and Moser , A. 1992 . Engineering approach to mixing quantification in bioreactors . Bioproc. Eng. , 8 : 137 – 143 .
   Google Scholar
• Modak , J. M. 1993 . Choice of control variable for optimization of fed-batch fermentation . Chem. Eng. J. , 52 : B59 – B69 .
   Web of Science ®Google Scholar
• Montague , G. A. and Morris , A. J. 1994 . Neural network contributions in biotechnology . Trends Biotechnol. , 12 : 312 – 324 .
   PubMed Web of Science ®Google Scholar
• Moser , A. 1988 . Bioprocess Technology. Kinetics and Reactors , 76 New York : Springer-Verlag .
   Google Scholar
• Patnaik , P. R. 1997 . A recurrent neural network for a fed-batch fermentation with recombinant Escherichia coli subject to inflow disturbances . Process Biochem. , 32 : 391 – 400 .
   Google Scholar
• Patnaik , P. R. 1999 . Coupling of a neural filter and a neural controller for improvement of fermentation performance . Biotechnol. Techniques , 13 : 735 – 738 .
   Google Scholar
• Patnaik , P. R. 2001a . Further enhancement of fed-batch streptokinase yield in the presence of inflow noise by coupled neural networks . Process Biochem. , 37 : 145 – 151 .
   Google Scholar
• Patnaik , P. R. 2001b . A simulation study of neural filtering and control of a fed-batch bioreactor under non-ideal conditions . Chem. Eng. J. , 84 : 533 – 541 .
   Google Scholar
• Patnaik , P. R. 2003 . An integrated hybrid neural system for noise filtering, simulation and control of a fed-batch recombinant fermentation . Biochem. Eng. J. , 15 : 165 – 175 .
   Google Scholar
• Patnaik , P. R. 2004 . Neural and hybrid neural modeling and control of fed-batch fermentation for streptokinase: comparative evaluation under non-ideal conditions . Can. J. Chem. Eng. , 82 : 599 – 606 .
   Web of Science ®Google Scholar
• Patnaik , P. R. 2005a . Perspectives in the modeling and optimization of PHB production by pure and mixed cultures . Crit. Rev. Biotechnol. , 25 : 153 – 171 .
   PubMed Web of Science ®Google Scholar
• Patnaik , P. R. 2005b . Neural network designs for poly-β -hydroxybutyrate production optimization under simulated industrial conditions . Biotechnol. Lett. , 27 : 409 – 415 .
   PubMed Web of Science ®Google Scholar
• Patnaik , P. R. 2006a . Enhancement of PHB biosynthesis by Ralstonia eutropha in fed-batch cultures by neural filtering and control . Food Bioprod. Processing , 84 ( C2 ) : 150 – 156 .
   Google Scholar
• Patnaik , P. R. 2006b . Dispersion optimization to enhance PHB production in fed-batch cultures of Ralstonia eutropha . Biores. Technol. , 97 : 1994 – 2001 .
   PubMed Web of Science ®Google Scholar
• Petrov , M. , Ilkova , T. , Tzonkov , S. and Viesturs , U. 2005 . Application of a fuzzy neural network for modeling of the mass-transfer coefficient in a stirred tank bioreactor . Bioautomation , 2 : 1 – 7 .
   Google Scholar
• Preusting , H. , Noordover , J , Simutis , R. and Lubbert , A. 1996 . The use of hybrid modeling for the optimization of the penicillin fermentation process . Chimia , 50 : 416 – 417 .
   Google Scholar
• Riascos , C. A. M. and Pinto , J. M. 2004 . Optimal control of bioreactors: A simultaneous approach for complex systems . Chem. Eng. J. , 99 : 23 – 34 .
   Google Scholar
• Rohner , M. and Meyer , H.-P. 1995 . Application of modeling for bioprocess design and control in industrial production . Bioproc. Eng. , 13 : 69 – 78 .
   Google Scholar
• Rudolph , B. 1994 . Treasures from trash . Time Intl. , 144 : 66 – 67 .
   Google Scholar
• Shi , Z. and Shimizu , K. 1992 . Neuro-fuzzy control of bioreactor systems with pattern recognition . J. Ferment. Bioeng. , 74 : 39 – 45 .
   Google Scholar
• Shioya , S. , Shimizu , K. and Yoshida , T. 1999 . Knowledge-based design and operation of bioprocess systems . J. Biosci. Bioeng. , 87 : 261 – 266 .
   Google Scholar
• Simutis , R. and Lubbert , A. 1997 . Exploratory analysis of bioprocesses using artificial neural network based methods . J. Biotechnol. , 13 : 479 – 487 .
   Google Scholar
• Steinbuchel , A. and Lutke-Eversloh , T. 2003 . Metabolic engineering and pathway construction for biotechnological production of relevant polyhydroxyalkanoates in microorganisms . Biochem. Eng. J. , 37 : 1 – 16 .
   Google Scholar
• Steinbuchel , A. 1996 . “ PHB and other polyhydroxyalkanoic acids ” . In Biotechnology, vol. 6 , Edited by: Rehm , H. J. and Reed , G. Weinheim : VCH . Chap. 13
   Google Scholar
• Tian , Y. , Zhang , J. and Morris , A. J. 2002 . Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model . Neurocomputing , 48 : 919 – 926 .
   Web of Science ®Google Scholar
• U.S. Environmental Protection Agency . 2006 . http://www.epa.gov/epaoswer/non-hw/muncpl/plastic.htm
   Google Scholar
• Valdez-Castro , L. , Baruch , I. and Barrera-Cortes , J. 2003 . Neural networks applied to the prediction of fed-batch fermentation kinetics of Bacillus thuringiensis. . Bioproc. Biosyst. Eng. , 25 : 229 – 233 .
   PubMed Web of Science ®Google Scholar
• Van Can , H. J. L. , Te Braake , H. A. B. , Helliga , C. , Luyben , K. C. A. M. and Heijnen , J. J. 1997 . An efficient model development strategy for bioprocesses based on neural networks in macroscopic balances . Biotechnol. Bioeng. , 54 : 544 – 566 .
   Google Scholar
• Wang , J. and Yu , J. 2001 . Kinetic analysis on formation of poly(3-hydroxybutyrate) from acetic acid by Ralstonia eutropha under chemically defined conditions . J. Ind. Microbiol. Biotechnol. , 26 : 121 – 126 .
   PubMed Web of Science ®Google Scholar