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Computational
approach for the optimization of keratinase enzyme production from Bacillus
cereus
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T.P.
Rajesh, R. Karthick Hari Mathan, S. Rajasekar and B. Anandaraj*
 Department
of Biotechnology, Bharathidasan Institute of Technology, Anna University,
Trichy-620024, India
*Corresponding
Author E-mail: biotechraj@gmail.com
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Publication
Data
Paper received:
13 October 2015
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Revised received:
19 May 2016
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Accepted:
20 August 2016
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Abstract
Feathers
made up of keratin protein are resistant to physical, chemical and
environmental factors. Keratins are classified as heterogeneous proteins due
to the structure and composition of amino acid. Keratinase enzyme can easily
degrade keratin waste and converts into feed stuffs and fertilizers.
Keratinase enzyme is secreted by various microorganisms which mostly include
fungi, actinomycetes and Bacillus. In the present study, Bacillus
cereus KM209198, which was isolated from feather dumped soil for
production of keratinase enzyme was selected. Statistical tools Minitab pro
16.1.0.0 and Design expert 7 were used for optimization of keratinase
production. Plackett-Burman method was used for identifying variables
influencing the enzyme production and further optimized by RSM.
Placket-Burman design, four out of seven variables such as glucose, casein,
magnesium sulphate and pH were identified. These significant variables were
further optimized through hybrid system of response surface methodology.
Optimized concentration was identified as glucose 2.5 g l-1,
casein 7.5 g l-1, MgSO4-2 g-1 and pH 10. Initially
enzyme activity without optimization was 2.2 U ml-1 and after
optimization, the enzyme activity was increased upto 3.5 U ml-1.
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 Key
words
Bacillus
cereus, Feather degradation, Keratinase production, Keratinolytic
activity and Microbial degradation
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conclusions enforced or derived, rest completely with the author(s).
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