APPLICATION OF EXPERIMENTAL DESIGN METHOD FOR ETHANOL PRODUCTION BY FERMENTATION OF SUNFLOWER SEED HULL HYDROLYSATE USINGPICHIA STIPITISNRRL-124

Abstract

The lignocellulosic hydrolysates provide a rich medium for fermentation of sugars into ethanol. The potential use of sunflower seed hull hemicellulose hydrolysate in ethanol fermentation was evaluated by using the Experimental Design method in this study. A 2 2 Box-Wilson experimental design was used to develop a statistical model. The effects of shaking rate (55-145 rpm) and initial pH (4.6-7.4) on the fermentation of hydrolysate with Pichia stipitis yeast were studied in shaking bath experiments at 30C. Model equations that represent maximum ethanol concentration E max and ethanol yield Y P=S in terms of shaking rate and pH were developed by using the Design-Expert package program. From response surfaces, optimum variables were calculated numerically by the Design-Expert computer program. Such a procedure provided the optimum values of the parameters with respect to both Y P=S and E max as X 1 ¼ 5.89 pH and X 2 ¼ 114.6 rpm. The maximum ethanol concentration of 11.04 g=L and ethanol yield of 0.32 were obtained with these optimized parameters.

Application of Experimental Design Method for the Optimisation of Xanthan Gum Production from Pineapple Peels Using Xanthomonas Campestris via Submerged Fermentation

“…The goodness of fit of the model for xanthan gum production was evaluated by the coefficient of determination (R 2 ) and analysis of variance (ANOVA). The optimum values of the variables tested were obtained by numerical optimisation based on the criterion of desirability [23].…”

Design and optimization of ethanol production from bagasse pith hydrolysate by a thermotolerant yeast Kluyveromyces sp. IIPE453 using response surface methodology

“…Statistical screening in this context provides a rapid assessment of key process variables in a systematic way whereby a perfect strategy can be materialized to improve targeted product yield. Response surface methodology (RSM) explores the relationships between several explanatory operating variables and one or more response variables and has been widely applied for optimization of ethanol production from various substrates ( Uncu & Cekmecelioglu 2011 ; Jargalsaikhan & Saraçoğlu 2009 ).…”

OPTIMIZATION OF PROCESS CONDITIONS USING RESPONSE SURFACE METHODOLOGY (RSM) FOR ETHANOL PRODUCTION FROM WASTE CASHEW APPLE JUICE BYZYMOMONAS MOBILIS

“…The classical method of studying one variable at a time can be effective in some cases, but it is useful to consider the combined effects of all the factors involved. Response surface methodology (RSM) is a powerful mathematical model with a collection of statistical techniques by which interactions between multiple process variables can be identified with fewer experimental trials (Bas et al, 2007;Jargalsaikhan and Saracoglu, 2009). It is widely used to examine and optimize the operational variables for experimental design, model developing, and factors and conditions optimization (Lee and Rogers, 1426 M. Karuppaiya et al 1983).…”