Yazar "Goycincik, Sezer" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Optimization and Modelling of Process Conditions Using Response Surface Methodology (RSM) for Enzymatic Saccharification of Spent Tea Waste (STW)
    (Springer, 2015) Yucel, Yasin; Goycincik, Sezer
    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, beta-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, beta-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.
  • Küçük Resim
    Öğe
    Optimization of ethanol production from spent tea waste by Saccharomyces cerevisiae using statistical experimental designs
    (Springer Heidelberg, 2015) Yucel, Yasin; Goycincik, Sezer
    The aim of this study was to investigate the prospect for the use of spent tea waste (STW), an important municipal waste, as a potential substrate to generate hydroly-sates for fuel ethanol production. Acid pretreated STW was used as substrate for ethanol production. The critical variables that affected ethanol fermentation from STW were identified by Plackett-Burman designs and further optimized by using a five-level-three-factor central composite design of response surface methodology. The optimum conditions for ethanol fermentation were determined to be NH4Cl concentration of 2.7 g/L, yeast concentration of 11.7 g/L, and temperature of 42.8 degrees C. Maximum concentration of reducing sugar and ethanol under the optimum conditions were 28.90 g reducing sugar/L and 12.72 g EtOH/L, respectively. Predicted ethanol concentration was obtained using quadratic polynomial equation. The predicted ethanol concentration was 13.38 g EtOH/L in the optimal conditions. Validity of the predicted model was confirmed using verification experiment (12.72 g EtOH/L).