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Statistical Optimization of Media Components by Taguchi Design and Response Surface Methodology for Enhanced Production of Anticancer Metabolite by Penicillium sp. JUFP2


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1 School of Sciences, JAIN (Deemed-to-be University), #18/3, 9th Main Road Jayanagar 3rd block, Bengaluru-560011, India
     

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Penicillium sp. JUFP2, a strain previously isolated from the soil collected from the Agumbe Forest of the Western Ghats, had potential cytotoxicity against Human Cervical Cancer Cell Line HeLa. It was found to be an uncharacterized, potential candidate in the search for novel anticancer drugs, and hence a need to produce bioactive (anticancer) compounds in substantial quantities. One method of accomplishing this is through the optimization of culture conditions including, carbon and nitrogen sources, incubation period, pH and temperature. A combination of techniques comprising of classical one factor at a time (OFAT) approach, statistical Taguchi and Response surface methodology (RSM) approach were used. OFAT technique was used to select the ideal carbon and nitrogen sources, incubation period, pH and temperature from a panel, Taguchi design was used to study the effect of interaction of different factors on enhancement and RSM was used to determine the optimum concentration of each of the factors. Ammonium sulphate, urea and sodium nitrate were found as suitable factors which enhanced both biomass and metabolite production by Taguchi method. From RSM, ammonium sulphate at 0.08 % (w/v), urea at 0.05 % (w/v) and sodium nitrate at 0.05 % (w/v) in the medium with incubation period of 10 days at a pH of 5.5 with Czapek Dox Yeast broth as basal medium was found to produce the highest quantity of biomass and metabolite from Penicillium sp. JUFP2. The bioactive fraction production was found to be significantly enhanced from un-optimized to optimized conditions.

Keywords

Anticancer, HeLa, Statistical Optimization, Taguchi, RSM.
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  • Ashrini BS, Varalakshmi KN. Compounds from natural sources as potential anticancer agents: an in vitro study. Chemical Science Review and Letters. 2016; 5(18): 86-92.

  • Wang Y, Fang X, An F, Wang G, Zhang X. Improvement of antibiotic activity of Xenorhabdus bovienii by medium optimization using response surface methodology. Microbial Cell Factories. 2011; 10:98.

  • Shekar P, Kumar KS, Jabasingh SA, Radhakrishnan M, Balagurunathan R. Optimization of medium components for antibacterial metabolite production from marine Streptomycetes sp. Pua2 using response surface methodology. International Journal of Pharmacy and Pharmaceutical Sciences. 2014; 6:475-480.

  • Sharma P, Singh L. Application of response surface analysis for biodegradation of azo reactive textile dye using Aspergillus foetidus. Journal of Basic Microbiology. 2012; 52(3):314-323.

  • Ramakrishnan V, Goveas LC, Narayan B, Halami PM. Comparison of lipase production by Enterococcus faecium MTCC 5695 and Pediococcus acidilactici MTCC 11361 using fish waste as substrate: optimization of culture conditions by response surface methodology. ISRN Biotechnology. 2013. Available from: URL: https://www.ncbi.nlm.nih.gov/pubmed/25969788.

  • Adinarayana K, Ellaiah P, Srinivasulu B, Bhavani Devi R, Adinarayana G. Response surface methodological approach to optimize the nutritional parameters for neomycin production by Streptomyces marinensis under solid-state fermentation. Process Biochemistry. 2003; 38: 1565- 1572.

  • Qu Y, Ma Q, Zhang X, Zhou H, Li X, Zhou J. Optimization of indigo production by a newly isolated Pseudomonas sp. QM. Journal of Basic Microbiology. 2012; 52(6): 687-694.

  • Saravanan P, Muthuvelayudham R, Viruthagiri T. Enhanced production of cellulase from pineapple waste by response surface methodology. 2013. Available from: URL: http://dx.doi.org/10.1155/2013/979547

  • Athreya S, Venkatesh YD. Application of Taguchi method for optimization of process parameters in improving the surface roughness of lathe facing operation. International Refereed Journal of Engineering and Science. 2012; 1(3):13-19.

  • Kanmani P, Karthik S, Aravind J, Kumaresan K. The use of response surface methodology as a statistical tool for media optimization in lipase production from the dairy effluent isolate fusarium solani. ISRN Biotechnology. 2013. Available from: URL: http://dx.doi.org/10.5402/2013/528708

  • Zhang J, Dong YC, Fan LL, Jiao ZH, Chen QH. Optimization of culture medium compositions for gellan gum production by a halobacterium Sphingomonas paucimobilis. Carbohydrate Polymers. 2015; 115:694-700.

  • Qiang L, Yumei L, Sheng H, Yingzi L, Dongxue S, Dake H, Jiajia W, Yanhong Q, Yuxia Z. Optimization of fermentation conditions and properties of an exopolysaccharide from Klebsiella sp. H-207 and application in adsorption of hexavalent chromium. PLoS ONE. 2013. Available from: URL: https://doi.org/10.1371/journal.pone.0053542

  • Kammoun R, Naili B, Bejar S. Application of a statistical design to the optimization of parameters and culture medium for alpha-amylase production by Aspergillus oryzae CBS 819.72 grown on gruel (wheat grinding by-product). Bioresource Technology. 2008; 99(13) :5602-5609.

  • Kaushik R, Saran S, Isar J, Saxena RK. Statistical optimization of medium components and growth conditions by response surface methodology to enhance lipase production by Aspergillus carneus. Journal of Molecular Catalysis B: Enzymatic. 2006; 40(3-4):121-126.

  • Singh V, Haque S, Niwas R, Srivastava A, Pasupuleti M, Tripathi CKM. Strategies for fermentation medium optimization: an in-depth review. Frontiers in Microbiology. 2016. Available from: URL: https://dx.doi.org/10.3389%2Ffmicb.2016.02087

  • Chanin MN, Kuei CH, Lin C. Using Taguchi design, regression analysis and simulation to study maintenance float systems. International Journal of Production Research. 1990; 28:1939-1953.

  • Aggarwal A, Singh H. Optimization of machining techniques - a retrospective and literature review. Sadhana. 2005; 30(6):699-711.

  • Houck CR, Joines J, Kay MG. A Genetic Algorithm for Function Optimization: A Matlab Implementation. NCSU-IE TR. 1995; 95.

  • Franco LE, Link H, Botz W D. Evaluation of artificial neural networks for modelling and optimization of medium composition with a genetic algorithm. Process Biochemistry. 2006; 41:2200–2206.

  • Kalil SJ, Maugeri F, Rodrigues MI. Response surface analysis and simulation as a tool for bioprocess design and optimization. Process Biochemistry. 2000;35(6):539–550.

  • Praveen V. Tripathi D, Tripathi CKM, Bihari V. Nutritional regulation of actinomycin-D production by a new isolate of Streptomyces sindenensis using statistical methods. Indian Journal of Experimental Biology.2008; 46:139-144.


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  • Statistical Optimization of Media Components by Taguchi Design and Response Surface Methodology for Enhanced Production of Anticancer Metabolite by Penicillium sp. JUFP2

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Authors

B. S. Ashrini
School of Sciences, JAIN (Deemed-to-be University), #18/3, 9th Main Road Jayanagar 3rd block, Bengaluru-560011, India
K. N. Varalakshmi
School of Sciences, JAIN (Deemed-to-be University), #18/3, 9th Main Road Jayanagar 3rd block, Bengaluru-560011, India

Abstract


Penicillium sp. JUFP2, a strain previously isolated from the soil collected from the Agumbe Forest of the Western Ghats, had potential cytotoxicity against Human Cervical Cancer Cell Line HeLa. It was found to be an uncharacterized, potential candidate in the search for novel anticancer drugs, and hence a need to produce bioactive (anticancer) compounds in substantial quantities. One method of accomplishing this is through the optimization of culture conditions including, carbon and nitrogen sources, incubation period, pH and temperature. A combination of techniques comprising of classical one factor at a time (OFAT) approach, statistical Taguchi and Response surface methodology (RSM) approach were used. OFAT technique was used to select the ideal carbon and nitrogen sources, incubation period, pH and temperature from a panel, Taguchi design was used to study the effect of interaction of different factors on enhancement and RSM was used to determine the optimum concentration of each of the factors. Ammonium sulphate, urea and sodium nitrate were found as suitable factors which enhanced both biomass and metabolite production by Taguchi method. From RSM, ammonium sulphate at 0.08 % (w/v), urea at 0.05 % (w/v) and sodium nitrate at 0.05 % (w/v) in the medium with incubation period of 10 days at a pH of 5.5 with Czapek Dox Yeast broth as basal medium was found to produce the highest quantity of biomass and metabolite from Penicillium sp. JUFP2. The bioactive fraction production was found to be significantly enhanced from un-optimized to optimized conditions.

Keywords


Anticancer, HeLa, Statistical Optimization, Taguchi, RSM.

References