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%20%20%20%20Statistical%20Optimization%20for%20Ethanol%20Production%20by%20Saccharomyces%20cerevisiae%20(MTCC%20170)%20%20%20Using%20Response%20Surface%20Methodology
Research article
  

Statistical Optimization for Ethanol Production by Saccharomyces cerevisiae (MTCC 170) Using Response Surface Methodology


T. Shankar, R. Sathees kumar and K. T. K. Anandapandian

Post Graduate Department of Microbiology, Ayya Nadar Janaki Ammal College (Autonomous), Sivakasi-626124, Tamil Nadu, India.
*Department of Microbiology, Sokoto state University, Along Airport road, Sokoto, Nigeria.


Corresponding author :

K. T. K. Anandapandian,
Email:

Received: January 8, 2015,   Accepted: February 11, 2015,   Published:


Abstract:

Response surface methodology based on central composite design was applied to optimize the fermentation conditions of Saccharomyces cerevisiae (MTCC 170) for maximum ethanol recovery. The influence of process parameters were investigated by design expert software, optimum conditions were found to be pH of 3.5, temperature of 35ºC and initial sugar concentration of 4% glucose. By optimizing with coded factor the maximum ethanol production observed by the model was 10.5 g/l ethanol. This design proved to be optimization of culture conditions and increase the ethanol productivity.


Keywords: S. cerevisiae, RSM, CCD, Ethanol production, Optimization


Citation:

K. T. K. Anandapandian, et al. (2015). Statistical Optimization for Ethanol Production by Saccharomyces cerevisiae (MTCC 170) Using Response Surface Methodology. J. of Advancement in Medical and Life Sciences. V2I3. DOI: 10.15297/JALS.V2I3.04


Copyright:

© 2015 K. T. K. Anandapandian. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


      
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      Journal of Advancement in Medical and Life Sciences