• A.Magesh
• R.Rajesh kannan
• k.jayabalan

The simultaneous saccharification and fermentation (SSF) of the 226 white rose tapioca stems to ethanol were investigated in a batch reactor using cellulase enzyme and Saccharomyces cerevisiae respectively. Pretreatment of lignocellulosic biomass using sodium hydroxide is basically a delignification process, in which a significant amount of hemicellulose is solubilized as well Maximum reduction in lignin of 54.66% is achieved for 2.0% sodium hydroxide concentration, 90 min residence time at 120oC.The effect of initial substrate concentration, pH, temperature and cellulase loading are identified as the major factors affecting ethanol production by ssf and these can be well studied by statistically designed experiments using central composite design. The validation of the statistical model and regression equation are conducted by taking initial substrate concentration of 50.20 g/l, pH of 5.58, temperature of 31.26°C and Cellulase Loading of 18.94 mg/g of substrate. Maximum ethanol production of 16.10 g/l corresponding to 56% of theoretical yield is obtained under optimum conditions. The Logistic model for cell growth, Leudeking-Piret model for substrate utilization kinetics and product formation kinetics are tested. All the experimental results are found to be in good agreement with the theoretical predictions and all the models presented in this work provide a good description of biomass, product and substrate concentrations. A better prediction of biomass concentrations with high R2 values of 0.9786 was obtained using Logistic model. The simulation results are useful to predict the dynamics of substrate utilization and are well suited for ethanol production from sequential pretreated tapioca stem with a minimum error of 7.25%. The simulation results of product formation kinetics are in good agreement with the experimental data obtained from the production of ethanol with a minimum error of 8.88%.

: Ethanol, Tapioca stem, Alkaline hydrolysis, simultaneous saccharification and fermentation(ssf), kinetics, modelling

"Bioethanol production from tapioca stem using SSF method – optimization, kinetics and modeling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.189-199, June 2019, Available :http://www.jetir.org/papers/JETIR1907B88.pdf

"Bioethanol production from tapioca stem using SSF method – optimization, kinetics and modeling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp189-199, June 2019, Available at : http://www.jetir.org/papers/JETIR1907B88.pdf