Statistical and evolutionary optimisation of operating conditions for enhanced production of fungal l-asparaginase
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Gurunathan Baskar
and
Sahadevan Renganathan
Abstract
A three-level central composite design of the Response Surface Methodology and the Artificial Neural Network-linked Genetic Algorithm were applied to find the optimum operating conditions for enhanced production of l-asparaginase by the submerged fermentation of Aspergillus terreus MTCC 1782. The various effects of the operating conditions, including temperature, pH, inoculum concentration, agitation rate, and fermentation time on the experimental production of l-asparaginase, were fitted to a second-order polynomial model and non-linear models using Response Surface Methodology and the Artificial Neural Network, respectively. The Artificial Neural Network model fitted well, achieving a higher coefficient of determination (R 2 = 0.999) than the second-order polynomial model (R 2 = 0.962). The l-asparaginase activity (38.57 IU s mL−1) predicted under the optimum conditions of 32.08°C, pH of 5.85, inoculum concentration of 1 vol. %, agitation rate of 123.5 min−1, and fermentation time of 55.1 h was obtained using the Artificial Neural Networklinked Genetic Algorithm in very close agreement with the activity of 37.84 IU mL−1 achieved in confirmation experiments.
[1] Ali, S. S., Rai, V., Soni, K., Kulshrestha, P., & Lai, S. K. (1994). A fungal l-asparaginase with potential antitumor activity. Indian Journal of Microbiology, 34, 73–76. Search in Google Scholar
[2] Baskar, G., & Renganathan, S. (2011a). Design of experiments and artificial neural network linked genetic algorithm for modeling and optimization of l-asparaginase production by Aspergillus terreus MTCC 1782. Biotechnology and Bioprocess Engineering, 16, 50–58. DOI: 10.1007/s12257-010-0119-7. http://dx.doi.org/10.1007/s12257-010-0119-710.1007/s12257-010-0119-7Search in Google Scholar
[3] Baskar, G., & Renganathan, S. (2011b). Optimization of media components and operating conditions for exogenous production of fungal l-asparaginase. Chiang Mai Journal of Science, 38, 270–279. Search in Google Scholar
[4] Baskar, G., & Renganathan, S. (2009). Production of Lasparaginase from natural substrates by Aspergillus terreus MTCC 1782: Effect of substrate, supplementary nitrogen source and l-asparagine. International Journal of Chemical Reactor Engineering, 7, A41. http://dx.doi.org/10.2202/1542-6580.205010.2202/1542-6580.2050Search in Google Scholar
[5] Broome, J. D. (1961). Evidence that the l-asparaginase activity of Guinea pig serum is responsible for its antilymphoma effects. Nature, 191, 1114–1115. DOI: 10.1038/1911114a0. http://dx.doi.org/10.1038/1911114a010.1038/1911114a0Search in Google Scholar
[6] de Moura Sarquis, M. I., Morais Oliveira, E. M., Silva Santos, A., & Lara da Costa, G. (2004). Production of l-asparaginase by filamentous fungi. Memórias do Instituto Oswaldo Cruz, 99, 489–492. DOI: 10.1590/S0074-02762004000500005. http://dx.doi.org/10.1590/S0074-0276200400050000510.1590/S0074-02762004000500005Search in Google Scholar
[7] Ebrahimpour, A., Rahman, N. Z. R. A. R., Ean Ch’ng, D. H., Basri, M., & Salleh, A. B. (2008). 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. BMC Biotechnology, 8, 96. DOI: 10.1186/1472-6750-8-96. http://dx.doi.org/10.1186/1472-6750-8-9610.1186/1472-6750-8-96Search in Google Scholar
[8] Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Boston, MA, USA: Addison-Wesley. Search in Google Scholar
[9] Holland, J. H. (1975). Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control and artificial intelligence. Ann Arbor, MI, USA: University of Michigan Press. Search in Google Scholar
[10] Hymavathi, M., Sathish, T., Rao, C. S., & Prakasham, R. S. (2009). Enhancement of l-asparaginase production by isolated Bacillus circulans (MTCC 8574) using Response surface methodology. Applied Biochemistry and Biotechnology, 159, 191–198. DOI: 10.1007/s12010-008-8438-2. http://dx.doi.org/10.1007/s12010-008-8438-210.1007/s12010-008-8438-2Search in Google Scholar
[11] JECFA (Joint FAO/WHO Expert Committee on Food Additives) (2001). General specifications and considerations for enzyme preparations used in food processing. FAO Food and Nutrition, 52, 37–39. Search in Google Scholar
[12] Kumar, S., Dasu, V. V., & Pakshirajan, K. (2010). Localization and production of novel l-asparaginase from Pectobacterium carotovorum MTCC 1428. Process Biochemistry, 45, 223–229. DOI: 10.1016/j.procbio.2009.09.011. http://dx.doi.org/10.1016/j.procbio.2009.09.01110.1016/j.procbio.2009.09.011Search in Google Scholar
[13] Lapmak, K., Lumyong, S., Thongkuntha, S., Wongputtisin, P., & Sardsud, U. (2010). l-asparaginase production by Bipolaris sp. BR438 isolated from brown rice in Thailand. Chiang Mai Journal of Science, 37, 160–164. Search in Google Scholar
[14] Lingappa, K., Syeda, A., Vishalakshi, N., & Prabhakar, M. (2009). Immobilization of Streptomyces gulbargensis in polyurethane foam: A promising technique for l-asparaginase production. Iranian Journal of Biotechnology, 7, 199–204. Search in Google Scholar
[15] Mashburn, L. T., & Wriston, J. C., Jr. (1964). Tumor inhibitory effect of l-asparaginase from Escherichia coli. Archives of Biochemistry and Biophysics, 105, 450–452. http://dx.doi.org/10.1016/0003-9861(64)90032-310.1016/0003-9861(64)90032-3Search in Google Scholar
[16] Mishra, A. (2006). Production of l-asparaginase, an anticancer agent, from Aspergillus niger using agricultural waste in solid state fermentation. Applied Biochemistry and Biotechnology, 135, 33–42. DOI: 10.1385/ABAB:135:1:33. http://dx.doi.org/10.1385/ABAB:135:1:3310.1385/ABAB:135:1:33Search in Google Scholar
[17] Pal, M. P., Vaidya, B. K., Desai, K. M., Joshi, R. M., Nene, S. N., & Kulkarni, B. D. (2009). Media optimization for biosurfactant production by Rhodococcus erythropolis MTCC 2794: artificial intelligence verses a statistical approach. Journal of Industrial Microbiology & Biotechnology, 36, 747–756. DOI: 10.1007/s10295-009-0547-6. http://dx.doi.org/10.1007/s10295-009-0547-610.1007/s10295-009-0547-6Search in Google Scholar
[18] Pedreschi, F., Kaack, K., & Granby, K. (2008). The effect of asparaginase on acrylamide formation in French fries. Food Chemistry, 109, 386–392. DOI: 10.1016/j.foodchem.2007.12. 057. http://dx.doi.org/10.1016/j.foodchem.2007.12.05710.1016/j.foodchem.2007.12.057Search in Google Scholar PubMed
[19] Rai, S. K., & Mukherjee, A. K. (2010). Statistical optimization of production, purification and industrial application of a laundry detergent and organic solvent-stable subtilisinlike serine protease (Alzwiprase) from Bacillus subtilis DM-04. Biochemical Engineering Journal, 48, 173–180. DOI: 10.1016/j.bej.2009.09.007. http://dx.doi.org/10.1016/j.bej.2009.09.00710.1016/j.bej.2009.09.007Search in Google Scholar
[20] Reddy, P. S. (ed.) (1988). Groundnut. New Delhi, India: Indian council of agricultural research. Search in Google Scholar
[21] Shaffer, P. M., Arst, H. N., Jr., Estberg, L., Fernando, L., Ly, T., & Sitter, M. (1988). An asparaginase of Aspergillus nidulans is subject to oxygen repression in addition to nitrogen metabolite repression. Molecular and General Genetics, 212, 337–341. DOI: 10.1007/BF00334704. http://dx.doi.org/10.1007/BF0033470410.1007/BF00334704Search in Google Scholar PubMed
[22] Sivapathasekaran, C., Mukherjee, S., Ray, A., Gupta, A., & Sen, R. (2010). Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant. Bioresource Technology, 101, 2884–2887. DOI: 10.1016/j.biortech.2009.09.093. http://dx.doi.org/10.1016/j.biortech.2009.09.09310.1016/j.biortech.2009.09.093Search in Google Scholar PubMed
[23] Sreenivasulu, V., Jayaveera, K. N., & Rao, P. M. (2009). Optimization of process parameters for the production of l-asparaginase from an isolated fungus. Research Journal of Pharmacognosy and Phytochemistry, 1, 30–34. Search in Google Scholar
[24] Wei, D. Z., & Liu, H. (1998). Promotion of l-asparaginase production by using n-dodecane. Biotechnology Techniques, 12, 129–131. DOI: 10.1023/A:1008888400727. http://dx.doi.org/10.1023/A:100888840072710.1023/A:1008888400727Search in Google Scholar
[25] Wriston, J. C., Jr., & Yellin, T. O. (1973). l-asparaginase: A review. Advances in Enzymology and Related Areas of Molecular Biology, 39, 185–248. DOI: 10.1002/9780470122846.ch3. 10.1002/9780470122846.ch3Search in Google Scholar PubMed
© 2011 Institute of Chemistry, Slovak Academy of Sciences
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Articles in the same Issue
- Determination of four trace preservatives in street food by ionic liquid-based dispersive liquid-liquid micro-extraction
- Optimisation and validation of liquid chromatographic and partial least-squares-1 methods for simultaneous determination of enalapril maleate and nitrendipine in pharmaceutical preparations
- Chemiluminescence parameters of peroxynitrous acid in the presence of short-chain alcohols and Ru(bpy)32+
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