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Identification of variables and value optimization for optimum lipase production by Bacillus pumilus RK31 using statistical methodology

Paper ID Volume ID Publish Year Pages File Format Full-Text
33891 44996 2011 7 PDF Available
Title
Identification of variables and value optimization for optimum lipase production by Bacillus pumilus RK31 using statistical methodology
Abstract

In an effort to optimize the medium components, the statistical methodology was applied to achieve the optimum lipase production under shake flask conditions. The study was conducted in three steps on newly isolated Bacillus pumilus RK 31. In the first step, 12 different variables viz., Glucose, Olive oil, Yeast extract, Peptone, Tween 80, KH2PO4, MgSO4, NaNO3, CaCl2, Temperature, pH and Inoculum size were used to identify the most significant variables affecting lipase production using Plackett–Burman statistical design. Variance analysis showed that Olive oil, Tween 80 and KH2PO4 played significant role in lipase production. In the second step, the values of the above-identified three variables were optimized by central composite design using three-level-three-factor approach. The optimum values of Olive oil, Tween 80 and KH2PO4 were found to be 10.0 ml/l, 5.0 ml/l and 8.0 g/l, respectively. KH2PO4 was found to be responsible for maximum lipase production of 5.59 IU/ml, experimental and 5.03 IU/ml, predicted. In the third step, the optimum predicted values of the three factors and lipase production were verified by experimental approach. The amount of lipase produced in the designated medium was in agreement with that of predicted values by statistical method.

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Identification of variables and value optimization for optimum lipase production by Bacillus pumilus RK31 using statistical methodology
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Publisher
Database: Elsevier - ScienceDirect
Journal: New Biotechnology - Volume 28, Issue 1, 31 January 2011, Pages 65–71
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us