Design of experiments and artificial neural network linked genetic algorithm for modeling and optimization of L-asparaginase production by Aspergillus terreus MTCC 1782

The sequential optimization strategy for design of an experimental and artificial neural network (ANN) linked genetic algorithm (GA) were applied to evaluate and optimize media component for L-asparaginase production by Aspergillus terreus MTCC 1782 in submerged fermentation. The significant media components identified by Plackett-Burman design (PBD) were fitted into a second order polynomial model (R2 = 0.910) and optimized for maximum L-asparaginase production using a five-level central composite design (CCD). A nonlinear model describing the effect of variables on L-asparaginase production was developed (R2 = 0.995) and optimized by a back propagation NN linked GA. Ground nut oil cake (GNOC) flour 3.99% (w/v), sodium nitrate (NaNO3) 1.04%, L-asparagine 1.84%, and sucrose 0.64% were found to be the optimum concentration with a maximum predicted L-asparaginase activity of 36.64 IU/mL using a back propagation NN linked GA. The experimental activity of 36.97 IU/mL obtained using the optimum concentration of media components is close to the predicted L-asparaginase activity of the ANN linked GA.

[1]  Parveen Jamal,et al.  Improvement of production of citric acid from oil palm empty fruit bunches: optimization of media by statistical experimental designs. , 2009, Bioresource technology.

[2]  V. Thangavelu,et al.  Statistical experimental design for evaluation of medium components for lipase production by Rhizopus arrhizus MTCC 2233 , 2009 .

[3]  Y. Abdel-Fattah,et al.  Lipase production from a novel thermophilic Bacillus sp.: application of Plackett-Burman design for evaluating culture conditions affecting enzyme formation. , 2002, Acta microbiologica Polonica.

[4]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[5]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[6]  V. Thangavelu,et al.  Evaluation of medium components by Plackett-Burman statistical design for lipase production by Candida rugosa and kinetic modeling. , 2008, Sheng wu gong cheng xue bao = Chinese journal of biotechnology.

[7]  S. Lumyong,et al.  L-Asparaginase Production by Bipolaris sp. BR438 Isolated from Brown Rice in Thailand , 2010 .

[8]  M. Basri,et al.  A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM , 2008, BMC biotechnology.

[9]  J. Wriston,et al.  L-asparaginase: a review. , 2006, Advances in enzymology and related areas of molecular biology.

[10]  H. Arst,et al.  An asparaginase of Aspergillus nidulans is subject to oxygen repression in addition to nitrogen metabolite repression , 1988, Molecular and General Genetics MGG.

[11]  B. Kulkarni,et al.  Media optimization for biosurfactant production by Rhodococcus erythropolis MTCC 2794: artificial intelligence versus a statistical approach , 2009, Journal of Industrial Microbiology & Biotechnology.

[12]  F. Pedreschi,et al.  The effect of asparaginase on acrylamide formation in French fries. , 2008, Food chemistry.

[13]  Susheel Kumar,et al.  Localization and production of novel l-asparaginase from Pectobacterium carotovorum MTCC 1428 , 2010 .

[14]  A. Mukherjee,et al.  Statistical optimization of production, purification and industrial application of a laundry detergent and organic solvent-stable subtilisin-like serine protease (Alzwiprase) from Bacillus subtilis DM-04 , 2010 .

[15]  L. Mashburn,et al.  TUMOR INHIBITORY EFFECT OF L-ASPARAGINASE FROM ESCHERICHIA COLI. , 1964, Archives of biochemistry and biophysics.

[16]  A. Mishra.  Production of l-asparaginase, an anticancer agent, from Aspergillus niger using agricultural waste in solid state fermentation , 2006, Applied biochemistry and biotechnology.

[17]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[18]  G. L. Costa,et al.  Production of L-asparaginase by filamentous fungi. , 2004, Memorias do Instituto Oswaldo Cruz.

[19]  R E Peterson,et al.  L-asparaginase production by Erwinia aroideae. , 1969, Applied microbiology.

[20]  S. Renganathan,et al.  Production of L-Asparaginase from Natural Substrates by Aspergillus terreus MTCC 1782: Effect of Substrate, Supplementary Nitrogen Source and L-Asparagine , 2009 .

[21]  Ramkrishna Sen,et al.  Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant. , 2010, Bioresource technology.

[22]  K. Jayaveera,et al.  Optimization of process parameters for the production of L-asparaginase from an isolated fungus , 2009 .