Modelling and Optimization Studies on a Novel Lipase Production by Staphylococcus arlettae through Submerged FermentationReport as inadecuate

Modelling and Optimization Studies on a Novel Lipase Production by Staphylococcus arlettae through Submerged Fermentation - Download this document for free, or read online. Document in PDF available to download.

Enzyme ResearchVolume 2013 2013, Article ID 353954, 8 pages

Research ArticleBioprocess Engineering Laboratory, Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh 173 234, India

Received 24 June 2013; Revised 12 November 2013; Accepted 28 November 2013

Academic Editor: Denise Freire

Copyright © 2013 Mamta Chauhan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Microbial enzymes from extremophilic regions such as hot spring serve as an important source of various stable and valuable industrial enzymes. The present paper encompasses the modeling and optimization approach for production of halophilic, solvent, tolerant, and alkaline lipase from Staphylococcus arlettae through response surface methodology integrated nature inspired genetic algorithm. Response surface model based on central composite design has been developed by considering the individual and interaction effects of fermentation conditions on lipase production through submerged fermentation. The validated input space of response surface model with value of 96.6% has been utilized for optimization through genetic algorithm. An optimum lipase yield of 6.5 U-mL has been obtained using binary coded genetic algorithm predicted conditions of 9.39% inoculum with the oil concentration of 10.285% in 2.99 hrs using pH of 7.32 at 38.8°C. This outcome could contribute to introducing this extremophilic lipase halophilic, solvent, and tolerant to industrial biotechnology sector and will be a probable choice for different food, detergent, chemical, and pharmaceutical industries. The present work also demonstrated the feasibility of statistical design tools integration with computational tools for optimization of fermentation conditions for maximum lipase production.

Author: Mamta Chauhan, Rajinder Singh Chauhan, and Vijay Kumar Garlapati



Related documents