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Statistical optimization of process variables for the production of an anticancer drug (colchicine derivatives) through fermentation: at scale-up level

Paper ID Volume ID Publish Year Pages File Format Full-Text
33893 44996 2011 7 PDF Available
Title
Statistical optimization of process variables for the production of an anticancer drug (colchicine derivatives) through fermentation: at scale-up level
Abstract

Effect of various nutritional components and fermentation parameters on biotransformation of colchicine using Bacillus megaterium ACBT03 to produce 3-demethylated colchicine (3-DMC) has been investigated. Initially, Plackett–Burman (PB) design was used to evaluate the 11 nutritional variables to screen medium component that significantly influences the 3-demethylated colchicine (3-DMC) production. Three most statistically significant nutrients that is starch, glycerol and yeast extract were identified. Response surface methodology was used to optimize fermenter operational factors pH, temperature, impeller tip velocity and aeration rate for high 3-DMC production. The predicted results of 3-DMC yield (7689.13 mg/l) were obtained at 5-l-jar fermenter after optimization of pH 6.8, temperature 28°C, impeller tip velocity 4650 cm/min, and aeration rate 2.0 vvm. The validity of model was confirmed; and the optimum medium designed led a maximum 3-DMC yield of 7335 mg/l, which had 3–4% variation with predicted results. Furthermore, the experiment was scaled up in the 70-l fermenter.

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Statistical optimization of process variables for the production of an anticancer drug (colchicine derivatives) through fermentation: at scale-up level
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Publisher
Database: Elsevier - ScienceDirect
Journal: New Biotechnology - Volume 28, Issue 1, 31 January 2011, Pages 79–85
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
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Price was $35.95
You save - $31
Price after discount Only $4.95
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