Aravindan Rajendran

Annamalai University

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T. Viruthagiri

SRM University

Vimalnath Selvaraj

University of Cambridge

Subhagar Seraman

Annamalai University

N. Kannan

National Institute of Technology Tiruchirappalli

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Annamalai University

University of Cambridge

Indian Institute of Science Bangalore

SRM University

SRM Institute of Science and Technology

National Institute of Technology Tiruchirappalli

Manipal Academy of Higher Education

Kanchi Mamunivar Centre for Post Graduate Studies

Institute of Medical Sciences

Pondicherry University

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Optimization of medium composition for lipase production byCandida rugosaNCIM 3462 using response surface methodology

Canadian Journal of Microbiology (2007)

Aravindan Rajendran T. Viruthagiri

A sequential optimization approach using statistical design of experiments was employed to enhance the lipase production by Candida rugosa in submerged batch fermentation. Twelve medium components were evaluated initially using the Plackett-Burman 2-level factorial design. The significant variables affecting lipase production were found to be glucose, olive oil, peptone, (NH4)2SO4, and FeCl3.6H2O. Various vegetable oils were tested in the second step, and among them, groundnut oil was found to be the best inducer for lipase production by C. rugosa. The third step was to identify the optimal values of the significant medium components with groundnut oil as the inducer using response surface methodology. The regression equation obtained from the experimental data designed using a central composite design was solved, and analyzing the response surface contour plots, the optimal concentrations of the significant variables were determined. A maximum lipase activity of 5.95 U.mL-1, which is 1.64 times the maximum activity obtained in the Plackett-Burman experimental trials, was observed. The optimum combination of medium constituents contained 19.604 g.L-1 glucose, 13.065 mL.L-1 groundnut oil, 7.473 g.L-1 peptone, 0.962 g.L-1 (NH4)2SO4, 0.0019 g.L-1 FeCl3.6H2O, and other insignificant components at the fixed level. A predictive model of the combined effects of the independent variables using response surface methodology and an artificial neural network was proposed. The unstructured kinetic models, logistic model, and Luedeking-Piret model were used to describe cell mass and lipase production. The parameters of the models were evaluated and the lipase production by C. rugosa was found to be growth associated.

Candida rugosa

Central composite design

Plackett–Burman design

Fractional factorial design

10.1139/w07-017

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Citations (28)

Optimization and Modeling of Process Parameters for Lipase Production by Bacillus brevis

Food and Bioprocess Technology (2010)

Aravindan Rajendran T. Viruthagiri

Fractional factorial design

10.1007/s11947-010-0387-4

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Statistical optimization and kinetic modeling of xylanase production by Arthrobacter sp.

Asia-Pacific Journal of Chemical Engineering (2008)

Aravindan Rajendran Vimalnath Selvaraj T. Viruthagiri

Abstract Xylanases are hydrolytic enzymes which randomly cleave the β‐1, 4 backbone of the complex plant cell wall polysaccharide xylan. Diverse forms of these enzymes exist, displaying varying folds, mechanisms of action, substrate specificities, hydrolytic activities, and physicochemical characteristics. This article focuses on the fermentative production of xylanase from Arthrobacter sp. and the factors affecting the production. The batch‐submerged fermentation was carried out in a 250‐ml Erlenmeyer flask. The inoculum size of 5% v/v, initial pH of 7.0, and shaking speed of 150 rpm at 32 °C were maintained for the optimization of medium components. The cell growth, xylanase activity, cellulase activity, protein, and pH were determined at regular time intervals. Plackett–Burman statistical methodology was adopted to study the effect of media components on xylanase production. The effect of temperature and pH was studied using optimized medium composition determined by Plackett–Burman experimental design. The maximum xylanase activity of 4.0 U ml −1 at 84 h at the optimum temperature of 35 °C and pH of 7.0 was obtained. Copyright © 2008 Curtin University of Technology and John Wiley & Sons, Ltd.

Erlenmeyer flask

Plackett–Burman design

Yeast extract

10.1002/apj.138

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Response surface optimization of mixed substrate solid state fermentation for the production of lovastatin by Monascus purpureus

Engineering in Life Sciences (2009)

Subhagar Seraman Aravindan Rajendran T. Viruthagiri

Abstract The objective of this work is to enhance the production of lovastatin using Monascus purpureus MTCC 369 in mixed substrate solid state fermentation using various solid substrates and to optimize the combination of the solid substrates by response surface methodology. Solid state fermentation was conducted in a 250 mL Erlenmeyer flask at 30°C for 14 days with initial moisture content of 40% and inoculum size of 10% active culture. Barley, long grain rice and sago starch were found to be the suitable substrates producing maximum lovastatin of 193.7 mg, 190.2 mg and 180.9 mg/g of dry solids. These substrates were further used in various combinations as designed by the central composite design for enhancing the lovastatin production using Monascus purpureus . To the best of our knowledge this is the first report on the production of lovastatin using a mixed substrate solid state fermentation using Monascus purpureus .

Monascus purpureus

Solid-State Fermentation

Lovastatin

Erlenmeyer flask

Central composite design

10.1002/elsc.200900022

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Effect of culture conditions and kinetic studies on extracellular tannase production by Lactobacillus plantarum MTCC 1407

Indian Journal of Biotechnology (2011)

N. Kannan Aravindan Rajendran T. Viruthagiri

Production of tannase and microbial biomass by Lactobacillus plantarum MTCC 1407 was studied in submerged batch fermentation. The tannase production was performed in different media compositions maintaining the fermentation conditions constant at 30 °C, initial pH 5.5 and agitation speed at 120 rpm. Maximum tannase activity of 5.22 U mL -l was obtained at 24 h in M3 medium containing the following composition (g L -l ): tannic acid, 10; glucose, 1; NH 4Cl, 3; MgSO 4.7H 2O, 2; KH 2PO 4, 0.5; K 2HPO 4, 0.5; and CaCl 2, l. The medium optimization studies show that the tannic acid (1% w/v) as inducer along with glucose (0.1% w/v) as carbon source gave maximum tannase activity. Unstructured kinetic models, namely, logistic model for cell growth and Luedeking-Piret model for tannase production, were used to predict the

Tannase

Tannic acid

Yeast extract

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Citations (20)