Optimization of Culture Conditions and Bench-Scale Production of L-Asparaginase by Submerged Fermentation of Aspergillus terreus MTCC 1782

Optimization of culture conditions for L-asparaginase production by submerged fermentation of Aspergillus terreus MTCC 1782 was studied using a 3-level central composite design of response surface methodology and artificial neural network linked genetic algorithm. The artificial neural network linke...

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Published inJournal of microbiology and biotechnology Vol. 22; no. 7; pp. 923 - 929
Main Authors Gurunathan, Baskar, St. Joseph's College of Engineering, Chennai, India, Sahadevan, Renganathan, Anna University, Chennai, India
Format Journal Article
LanguageEnglish
Published Seoul Korean Society for Applied Microbiology 01.07.2012
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ISSN1017-7825
1738-8872
DOI10.4014/jmb.1112.12002

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Summary:Optimization of culture conditions for L-asparaginase production by submerged fermentation of Aspergillus terreus MTCC 1782 was studied using a 3-level central composite design of response surface methodology and artificial neural network linked genetic algorithm. The artificial neural network linked genetic algorithm was found to be more efficient than response surface methodology. The experimental L-asparaginase activity of 43.29 IU/ml was obtained at the optimum culture conditions of temperature 35℃, initial pH 6.3, inoculum size 1% (v/v), agitation rate 140 rpm, and incubation time 58.5 h of the artificial neural network linked genetic algorithm, which was close to the predicted activity of 44.38 IU/ml. Characteristics of L-asparaginase production by A. terreus MTCC 1782 were studied in a 3 L bench-scale bioreactor.
Bibliography:A50
2013000183
ISSN:1017-7825
1738-8872
DOI:10.4014/jmb.1112.12002