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African Journal of Biotechnology

     
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  Afr. J. Biotechnol.

  Vol. 8 No. 22

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  Search Pubmed for articles by:

  Palaniyappan M
  Viruthagiri T



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African Journal of Biotechnology Vol. 8 (22), pp. 6355-6363, 16 November 2009

ISSN 1684-5315  © 2009 Academic Journals  

 

 

Full Length Research Paper

 

Statistical optimization of substrate, carbon and nitrogen source by response surface methodology for pectinase production using Aspergillus fumigatus MTCC 870 in submerged fermentation

 

M. Palaniyappan1*, V. Vijayagopal3, Renuka Viswanathan1 and T. Viruthagiri2

 

1Department of Chemical Engineering and Biotechnology, St. Joseph’s College of Engineering, Chennai - 600 119, Tamil Nadu, India.

2Department of Chemical Engineering, Annamalai University, Annamalai Nagar - 608 002. Tamil Nadu, India.

3Department of Chemical Engineering, Eritrea Institute of Technology, Eritrea, North-East Africa.

 

*Corresponding author. E-mail: tmpalaniyappan@gmail.com. Tel: +91 9443678571. Fax: +91 4424500861.

 

Accepted 6 March, 2009

 

   Abstract

 

Optimization procedure using response surface methodology (RSM) based on face centered central composite design (FCCCD) with three factors (concentrations of wheat flour, glucose and ammonium nitrate) was used in order to investigate the effect of these parameters on the production of pectinase from Aspergillus fumigatus MTCC 870. According to the results of RSM, concentrations of wheat flour, glucose and ammonium nitrate were significant (p<0.05) on enzyme production. As a result of this optimization, maximum pectinase activity (15.46 IU/mL) was achievable at wheat flour (0.25 g/100 mL), glucose concentration (0.25 g/100 mL) and ammonium nitrate concentration (0.25 g/100 mL).

 

Key words: Optimisation, enzyme activity, submerged culture, modelling, FCCCD, pectinase.

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