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

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

Corresponding Author : K. T. K. Anandapandian,

Department of Microbiology, Sokoto state University, Along Airport road, Sokoto, Nigeria.

Email ID : anandapandian@yahoo.com

Received : 2015-01-08 Accepted : 2015-02-11 Published : 2015-02-11

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 : 10.5281/zenodo.1000026

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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