NDLI: Statistical Optimization of Saccharification of Alkali Pretreated Wheat Straw for Bioethanol Production

Content Provider	Springer Nature Link
Author	Irfan, Muhammad Asghar, Umar Nadeem, Muhammad Nelofer, Rubina Syed, Quratulain Shakir, Hafiz Abdullah Qazi, Javed Iqbal
Copyright Year	2016
Abstract	In this study saccharification of alkali treated wheat straw was optimized by Box–Behnken design using three variables at three levels. FTIR, XRD and Scanning electron microscopy were used to study the morphological and structural changes caused by pretreatment. A 2$^{3}$ factorial design was used for experiments and data was analyzed by second order polynomial regression model. Under optimized condition of 2 % wheat straw, 0.5 % enzyme concentration and 6 h of time period resulted in 40.15 % saccharification of wheat straw. The saccharified material was fermented with Saccharomyces cerevisiae which revealed that 96 h of fermentation period was best for maximum specific growth rate and specific ethanol yield.
Starting Page	1389
Ending Page	1396
Page Count	8
File Format	PDF
ISSN	18772641
Journal	Waste and Biomass Valorization
Volume Number	7
Issue Number	6
e-ISSN	1877265X
Language	English
Publisher	Springer Netherlands
Publisher Date	2016-03-28
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Alkali pretreatment Wheat straw Saccharification Box–Behnken design Ethanol Engineering Environment Renewable and Green Energy Industrial Pollution Prevention Waste Management/Waste Technology Environmental Engineering/Biotechnology
Content Type	Text
Resource Type	Article
Subject	Waste Management and Disposal Environmental Engineering Renewable Energy, Sustainability and the Environment

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