@article{(Open Science Index):https://publications.waset.org/pdf/9996924,
	  title     = {Statistical Screening of Medium Components on Ethanol Production from Cashew Apple Juice using Saccharomyces diasticus},
	  author    = {Karuppaiya Maruthai and  Viruthagiri Thangavelu and  Manikandan Kanagasabai},
	  country	= {},
	  institution	= {},
	  abstract     = {In the present study, effect of critical medium components (a total of fifteen components) on ethanol production from waste cashew apple juice (CAJ) using yeast Saccharomyces diasticus was studied. A statistical response surface methodology
(RSM) based Plackett-Burman Design (PBD) was used for the design of experiments. The design contains a total of 32 experimental trails. The effect of medium components on ethanol was studied at two different levels such as low concentration level (-) and high concentration levels (+). The dependent variables selected in this study were ethanol concentration (g/L) and cellmass concentration (g/L). Data obtained from RSM on ethanol production were subjected to analysis of variance (ANOVA). In general, initial substrate concentration significantly influenced the microbial growth and product formation. Of the medium components evaluated, CAJ concentration, yeast extract, (NH4)2SO4, and malt extract showed significant effect on ethanol fermentation. A second-order polynomial model was used to predict the experimental data and the model fitted the data with a high correlation coefficient (R2 > 0.98).
Maximum ethanol (15.3 g/L) and biomass (6.4 g/L) concentrations
were obtained at the optimum medium composition and at optimum
condition (temperature-30°C; initial pH-6.8) after 72 h fermentation
using S.diasticus.
},
	    journal   = {International Journal of Biotechnology and Bioengineering},
	  volume    = {6},
	  number    = {6},
	  year      = {2012},
	  pages     = {400 - 403},
	  ee        = {https://publications.waset.org/pdf/9996924},
	  url   	= {https://publications.waset.org/vol/66},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 66, 2012},
	}