African Journal of
Microbiology Research

  • Abbreviation: Afr. J. Microbiol. Res.
  • Language: English
  • ISSN: 1996-0808
  • DOI: 10.5897/AJMR
  • Start Year: 2007
  • Published Articles: 5228

Full Length Research Paper

Statistical approach to optimization of fermentative production of oil and arachidonic acid from Mortierella alpine CBS 754.68

Hamid-Reza Samadlouie1, Zohreh Hamidi-Esfahani1*, Seyed-Mehdi Alavi2 Masood Soltani-Najafabadi3, Mohammad Ali Sahari1 and Soleiman Abbasi1
1Department of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box 14115-336 Tehran, Iran. 2National Institute for Genetic Engineering and Biotechnology, P.O Box 14965/161, Tehran, Iran. 3Seed and Plant Improvement Research Institute, P. O. Box 315854119, Karaj, Iran.
Email: [email protected]

  •  Accepted: 27 January 2012
  •  Published: 23 February 2012

Abstract

In the present study, oil and arachidonic acid (AA) production by Mortierella alpine CBS 754.68 was improved through optimizing the effective factors. One-factor-at-a-time method was used to examine the effect of pH, mineral element, agitator spin and temperature on oil and AA production. For higher oil and AA production, response surface methodology (RSM) was used after one factor at time method so as to develop a mathematical model in order to identify the optimum concentration of the key nutrients. Compared to basal medium, oil and AA production increased significantly from 12 to 48% of dry biomass and 23 to 56% of oil, respectively, when the strain was cultivated on the optimal medium developed by using statistical approach.

 

Key words: Mortierella alpine, oil, arachidonic acid, one-factor-at-a-time, response surface methodology.

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

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