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

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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 23 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.

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Authors and Affiliations

  1. Microbial Biotechnology Laboratory, Department of Zoology, University of the Punjab, Lahore, Pakistan

    Muhammad Irfan, Hafiz Abdullah Shakir & Javed Iqbal Qazi

  2. Food and Biotechnology Research Center (FBRC), PCSIR Laboratories Complex, Ferozpur Road, Lahore, 54600, Pakistan

    Muhammad Irfan, Umar Asghar, Muhammad Nadeem, Rubina Nelofer & Quratulain Syed

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  1. Muhammad Irfan
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  2. Umar Asghar
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  3. Muhammad Nadeem
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  4. Rubina Nelofer
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  6. Hafiz Abdullah Shakir
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  7. Javed Iqbal Qazi
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Correspondence to Muhammad Irfan.

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Irfan, M., Asghar, U., Nadeem, M. et al. Statistical Optimization of Saccharification of Alkali Pretreated Wheat Straw for Bioethanol Production. Waste Biomass Valor 7, 1389–1396 (2016). https://doi.org/10.1007/s12649-016-9540-2

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  • DOI: https://doi.org/10.1007/s12649-016-9540-2

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