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Response surface methodology: optimisation of antifungal bioemulsifier from novel Bacillus thuringiensis.


ABSTRACT: An antifungal bioemulsifier compound was produced from a novel strain of Bacillus thuringiensis pak2310. To accentuate the production and as the first step to improve the yield, a central composite design (CCD) was used to study the effect of various factors like minimal salts (1X and 3X), glycerol concentration (2% and 4%), beef extract concentration (1% and 3%), and sunflower oil concentration (2% and 4%) on the production of bioemulsifier molecule and to optimize the conditions to increase the production. The E 24 emulsification index was used as the response variable as the increase in surfactant production was seen to be proportional to increased emulsification. A quadratic equation was employed to express the response variable in terms of the independent variables. Statistical tools like student's t-test, F-test, and ANOVA were employed to identify the important factors and to test the adequacy of the model. Under optimum conditions (1X concentration of minimal salts (MS), 2.6% glycerol (v/v), 1% beef extract (w/v), and 2% sunflower oil (v/v)) a 65% increase in yield was produced.

SUBMITTER: Rajendran D 

PROVIDER: S-EPMC4213991 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Response surface methodology: optimisation of antifungal bioemulsifier from novel Bacillus thuringiensis.

Rajendran Deepak D   Venkatachalam Ponnusami P   Ramakrishnan Jayapradha J   Ramakrishnan Jayapradha J  

TheScientificWorldJournal 20141014


An antifungal bioemulsifier compound was produced from a novel strain of Bacillus thuringiensis pak2310. To accentuate the production and as the first step to improve the yield, a central composite design (CCD) was used to study the effect of various factors like minimal salts (1X and 3X), glycerol concentration (2% and 4%), beef extract concentration (1% and 3%), and sunflower oil concentration (2% and 4%) on the production of bioemulsifier molecule and to optimize the conditions to increase th  ...[more]

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