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Optimization and Modelling of Process Conditions Using Response Surface Methodology (RSM) for Enzymatic Saccharification of Spent Tea Waste (STW)

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Abstract

Spent tea waste (STW) is an important lignocellulosic waste as a cost-effective feedstock for ethanol production. The enzymatic hydrolysis of acid pretreated STW was investigated in this study. The effects of process parameters, including acid pretreatment time 26.4–93.6 min, β-glucosidase loading from 20 to 80 IU/g and cellulase loading from 11 to 45 IU/g on reducing sugar yield, were optimized by using central composite design of response surface methodology. The analysis of variance of data was examined by using response surface quadratic model. The valid model was used for optimization of the reducing sugar concentration during enzymatic hydrolysis. The optimum conditions for enzymatic saccharification were found to be acid pretreatment time of 27 min, β-glucosidase loading of 49 IU/g and cellulase loading of 12 IU/g. Maximum concentration of the reducing sugar under the optimum conditions was determined as 29.0 g reducing sugar/L.

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Acknowledgments

This research was financially supported by Mustafa Kemal University Research foundation (Project No. 245).

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  1. Department of Chemistry, Faculty of Science and Arts, University of Mustafa Kemal, 31040, Hatay, Turkey

    Yasin Yücel & Sezer Göycıncık

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  1. Yasin Yücel
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  2. Sezer Göycıncık
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Correspondence to Yasin Yücel.

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Yücel, Y., Göycıncık, S. Optimization and Modelling of Process Conditions Using Response Surface Methodology (RSM) for Enzymatic Saccharification of Spent Tea Waste (STW). Waste Biomass Valor 6, 1077–1084 (2015). https://doi.org/10.1007/s12649-015-9395-y

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  • DOI: https://doi.org/10.1007/s12649-015-9395-y

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