TY - JOUR ID - 7167 TI - Process optimization for ethanol production from very high gravity (VHG) finger millet medium using response surface methodology JO - Iranian Journal of Biotechnology JA - IJB LA - en SN - 1728-3043 AU - Pradeep, Puligundla AU - Sarathi Reddy, Obulam Vijaya AU - Rama Mohan, Poludasu AU - Ko, Sanghoon AD - Department of Biochemistry, Sri Venkateswara University, Tirupati-517 502, India AD - Department of Biochemistry, Sri Venkateswara University, Tirupati-517 502, India. AD - Department of Food Science and Technology, Sejong University, Seoul 143-747, South Korea. Y1 - 2012 PY - 2012 VL - 10 IS - 3 SP - 168 EP - 174 KW - Ethanol production KW - Finger millet medium KW - optimization KW - Response Surface Methodology KW - Very high gravity (VHG) fermentation DO - N2 - The Box-Wilson central composite design (CCD) based on response surface methodology (RSM) was used for ethanol fermentation using very high gravity (VHG) finger millet hydrolysate. Optimized process variables were namely, concentrations of yeast extract, magnesium sulphate and pH of the medium. High gravity mashes (>300 g dissolved solids per liter) were prepared by a thermo-stable α-amylase, followed by simultaneous saccharification and fermentation (SSF) at 30ºC for 60 h. Ethanol concentration as high as 13.66% (v/v) was obtained after optimizing the variables. The coefficient of determination (R2) value of 0.9808 indicates the goodness of fit for regression model. The predicted values for optimization process conditions were in good agreement with experimental data. The optimum values for tested variables were yeast extract 7.13 (g/l) magnesium sulphate 23.32 mM and pH 4.8. Verification of the model indicated no significant difference between predicted and observed values. UR - https://www.ijbiotech.com/article_7167.html L1 - https://www.ijbiotech.com/article_7167_2c9f9490b4b03e73a6763761922e404a.pdf ER -