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Enhancing Biosurfactant Production by Hypersaline Bacillus amyloliquefaciens SK27 using Response Surface Methodology and Genetic Algorithm


Affiliations
1 Department of Biotechnology, Goa University, Goa 403 206, India
 

The use of biosurfactants has been limited because of their low yield and high production cost. A central composite design was used to study the interactive effect of sucrose, yeast extract and sodium chloride which were the most influencing variables. Response surface analysis showed that the quadratic model with R2 value of 0.9983 was fit for biosurfactant production. When genetic algorithm was used for maximization, the optimal activity (oil displacement zone) was found close to that obtained by response surface methodology, both of which were close to the predicted value. Biosurfactant production was enhanced by 1.2- fold using these approaches.

Keywords

Bacillus amyloliquefaciens, Biosurfactants, Central Composite Design, Genetic Algorithm, Response Surface Methodology.
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  • Enhancing Biosurfactant Production by Hypersaline Bacillus amyloliquefaciens SK27 using Response Surface Methodology and Genetic Algorithm

Abstract Views: 345  |  PDF Views: 100

Authors

Ruchira Malik
Department of Biotechnology, Goa University, Goa 403 206, India
Savita Kerkar
Department of Biotechnology, Goa University, Goa 403 206, India

Abstract


The use of biosurfactants has been limited because of their low yield and high production cost. A central composite design was used to study the interactive effect of sucrose, yeast extract and sodium chloride which were the most influencing variables. Response surface analysis showed that the quadratic model with R2 value of 0.9983 was fit for biosurfactant production. When genetic algorithm was used for maximization, the optimal activity (oil displacement zone) was found close to that obtained by response surface methodology, both of which were close to the predicted value. Biosurfactant production was enhanced by 1.2- fold using these approaches.

Keywords


Bacillus amyloliquefaciens, Biosurfactants, Central Composite Design, Genetic Algorithm, Response Surface Methodology.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi5%2F847-852