African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12487

Full Length Research Paper

Optimization of aqueous extraction process to enhance the production of phytase by Rhizopus oryzae using response surface methodology coupled with artificial neural network

Richa Rani
  • Richa Rani
  • Department of Biotechnology, Indian Institute of Technology, Roorkee-247 667, India.
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Sudhir Kumar
  • Sudhir Kumar
  • Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, 110029, India.
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Sanjoy Ghosh
  • Sanjoy Ghosh
  • Department of Biotechnology, Indian Institute of Technology, Roorkee-247 667, India.
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  •  Published: 12 February 2014

How to cite this article

APA /
Rani, R., Kumar, S. & Ghosh, S. (2014). Optimization of aqueous extraction process to enhance the production of phytase by Rhizopus oryzae using response surface methodology coupled with artificial neural network. African Journal of Biotechnology , 13(7), 874-883.
Chicago /
Richa Rani, Sudhir Kumar and Sanjoy Ghosh. "Optimization of aqueous extraction process to enhance the production of phytase by Rhizopus oryzae using response surface methodology coupled with artificial neural network." African Journal of Biotechnology 13, no. 7 (2014): 874-883.
MLA /
Richa Rani, Sudhir Kumar and Sanjoy Ghosh. "Optimization of aqueous extraction process to enhance the production of phytase by Rhizopus oryzae using response surface methodology coupled with artificial neural network." African Journal of Biotechnology 13.7 (2014): 874-883.
DOI /
https://doi.org/10.5897/AJB2013.11984
URL /
https://ftp.academicjournals.org/journal/AJB/article-abstract/8B7DF1943066

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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