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 in | Journal of microbiology and biotechnology Vol. 22; no. 7; pp. 923 - 929 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Seoul
Korean Society for Applied Microbiology
01.07.2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1017-7825 1738-8872 |
| DOI | 10.4014/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. |
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| Bibliography: | A50 2013000183 |
| ISSN: | 1017-7825 1738-8872 |
| DOI: | 10.4014/jmb.1112.12002 |