Optimization of β-galactosidase production by response surface methodology

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Research Paper 01/12/2011
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Optimization of β-galactosidase production by response surface methodology

Raghunath Rashmi, Kora Rudraiah Siddalingamurthy
Int. J. Biosci. 1(6), 119-127, December 2011.
Copyright Statement: Copyright 2011; The Author(s).
License: CC BY-NC 4.0

Abstract

β-galactosidase production is carried out using lactose or lactose rich substrates like whey. Tamarind seed powder has not been reported as a substrate for production of this enzyme before. In this study, statistical optimization of medium components for production of β-galactosidase, using tamarind seed powder, by Aspergillus terreus was attempted. Screening for the effects of eleven medium components on enzyme activity was carried out by Plackett-Burman design which showed that NH4(SO4)2, lactose and MgSO4 has significant (p<0.001) positive influence and pH, yeast extract, maltose and NaNO3 has significant negative influence. Optimal levels of positively influencing parameters were determined by ridge analysis and was found to be 2.97, 2.88 and 2.67 g/L of NH4(SO4)2, lactose and MgSO4 respectively. In the optimized medium, enzyme activity increased 2.8 folds in comparison with basal medium. Improved activity, being achieved by the use of a cheaper substrate, could reduce the cost of production of the enzyme.

Akhir SM, Abd-Aziz S, Salleh MM, Rahman RA, Illias RM, Hassan MA. 2009. Medium optimization of chitinase enzyme production from Shrimp waste using Bacillus licheniformis TH-1 by response surface methods. Biotechnology 8(1), 120-125.

Alam MZ, Muyibi SA, Wahid R. 2008. Statistical optimization of process conditions for cellulase production by liquid state bioconversion of domestic wastewater sludge. Bioresource Technology 99(11), 4709-4716.

Anumukonda P, Tadimalla P. 2010. Optimization of bioprocess parameters for the production of β-galactosidase by employing statistical methods. International Journal of Pharma and BioSciences 1(3).

Asraf SS, Gunasekaran P. 2010. Current trends of β-galactosidase research and application. In: Mendez-Vilas A, ed. Current Research, Technology and Education Topics in Applied Microbiology and Microbial Biotechnology, Formatex Research Center. Vol. 2. 880-890.

Atlas RM. 2004. In: Parks LC, ed. Handbook of Microbiological Media. Boca Raton, FL: CRC Press, USA.

Braga ARC, Gomes PA, Kalil SJ. 2011. Formulation of Culture Medium with Agroindustrial Waste for β-Galactosidase Production from Kluyveromyces marxianus ATCC 16045. Food and Bioprocess Technology, DOI: 10.1007/s11947-011-0511-0 (online first).

Dagbagli S, Goksungur Y. 2008. Optimization of β-galactosidase production using Kluyveromyces lactis NRRL Y-8279 by response surface methodology. Electronic Journal of Biotechnology 11(4).

Draper NR, Pukelsheim F. 2002. Generalized ridge analysis under linear restrictions, with particular applications to mixture experiments problems. Technometrics 44 (3), 250-259.

Hao XC, Yu XB, Yan ZL. 2006. Optimization of the medium for the production of cellulase by the mutant Trichoderma reesei WX-112 using response surface methodology. Food Technology and Biotechnology 44 (1), 89-94.

He YQ, Tan TW. 2006. Use of response surface methodology to optimize culture medium for production of lipase with Candida sp. 99-125. Journal of Molecular Catalysis B: Enzymatic 43(1-4), 9-14.

Hsu CA, Lee SL, Chou CC. 2007. Enzymatic production of galactooligosaccharides by β-Galactosidase from Bifidobacterium longum BCRC 15708. Journal of Agricultural and Food Chemistry 55, 2225-2230.

Jurado E, Camacho F, Luzón G, Vicaria JM. 2004. Kinetic models of activity for β-galactosidases:influence of pH, ionic concentration and temperature. Enzyme and Microbial Technology 34(1), 33-40.

Manera AP, Ores JC, Ribeiro VA, Burkert CAV, Kalil SJ. 2008. Optimization of the culture medium for the production of β-galactosidase from K. marxianus CCT 7082. Food Technology and Biotechnology 46 (1), 66–72.

Matheus AOR, Rivas N. 2003. Production and partial characterization of β-galactosidase from Kluyveromyces lactis grown in deproteinized whey. Archivos Latinoamericanos de Nutricion 53(2), 194– 201.

Mathew GM, Sukumaran RK, Singhania RR, Pandey A. 2008. Progress in research on fungal cellulases for lignocellulose degradation. Journal of Scientific and Industrial Research 67(11), 898-907.

Montgomery DC. 2001. Design and analysis of experiments, 5th Edn. John Wiley and Sons, New York, USA.

Neri DFM, Balcão VM, Dourado FOQ, Oliveira JMB, Carvalho Jr. LB, Teixeira JA. 2009. Galactooligosaccharides production by β-galactosidase immobilized onto magnetic polysiloxane–polyaniline particles. Reactive & Functional Polymers 69(4), 246– 251.

Nizamuddin S, Sridevi A, Narasimha G. 2008. Production of β-galactosidase by Aspergillus oryzae in solid-state fermentation. African Journal of Biotechnology 7 (8), 1096-1100.

Panesar PS, Shweta Kumari, Panesar R. 2010. Potential applications of immobilized β-galactosidase in food processing industries. Enzyme Research 16.

Pavani A, Gadge MS, Prabhakar T, Rupesh P. 2011. Optimization of medium components and process parameters for the production of β-galactosidase from a marine fungal isolate A. flavus. Asian Journal of Experimental Biological Sciences 2(1), 23-27.

Plackett RL, Burman JP. 1946. The design of optimum multifactorial experiments. Biometrika 33(4), 305–325.

Pothiraj C, Balaji P, Eyini M. 2006. Enhanced production of cellulases by various fungal cultures in solid state fermentation of cassava waste. African Journal of Biotechnology 5(20), 1882-1885.

Pressey R. 1983. β-galactosidases in ripening tomatoes. Plant Physiology 71, 132–135.

Rao PS, Srivastava HC. 1973. In: RL Whistler, ed. Industrial Gums. Academic Press, New York. p. 369– 411.

Ruchi Gaur, Hema Pant, Ruchi Jain, Khare SK. 2006. Galacto oligosaccharide synthesis by immobilized Aspergillus oryzae β-galactosidase. Food Chemistry 97, 426-430.

Tari C, Gögus N, Tokatli F. 2007. Optimization of biomass, pellet size and polygalacturonase production by Aspergillus sojae ATCC 20235 using response surface methodology. Enzyme and Microbial Technology 40(5), 1108-1116.

Uma Maheswar Rao JL, Satyanarayana T. 2007. Improving production of hyperthermostable and high maltose-forming α-amylase by an extreme thermophile Geobacillus thermoleovorans using response surface methodology and its applications. Bioresource Technology 98(2), 345-352.

Youssef GA, Berekaa MM. 2009. Improved production of endoglucanase enzyme by Aspergillus terreus; Application of Plackett Burman design for optimization of process parameters. Biotechnology 8(2), 212-219.

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