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Laboratory scale optimization of alkali pretreatment for improving enzymatic hydrolysis of sweet sorghum bagasse

机译:碱预处理的实验室规模优化,以改善甜高粱甘蔗渣的酶促水解

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摘要

Sweet sorghum has been identified as a promising feedstock for biological conversion to fuels as well as other chemicals. The lignocellulosic stalk of sweet sorghum, called sweet sorghum bagasse (SSB) is a potential source of lignocellulosic biofuel. The primary goal of this study was to determine optimal alkali (lime: Ca(OH)(2) and lye: NaOH) pretreatment conditions to obtain higher yield of total reducing sugar while reducing the lignin content for biofuel production from SSB. Biomass conversion and lignin removal were simultaneously optimized through four quadratic models analyzed by response surface methodology (RSM). The optimal conditions for lime pretreatment was 1.7% (w/v) lime concentration, 6.0% (w/v) SSB loading, 2.4h pretreatment time with predicted yields of 85.6 total biomass conversion and 35.5% lignin reduction. For lye pretreatment, 2% (w/v) alkali, 6.8% SSB loading and 2.3 h duration were the optimal levels with predicted biomass conversion and lignin reduction of 92.9% and 50.0%, respectively. More intensive pretreatment conditions removed higher amounts of hemicelluloses and cellulose. Fourier transform infrared spectroscopy (FTIR) spectrum and scanning electron microscope (SEM) image revealed compositional and microstructural changes caused by the alkali pretreatment. (C) 2015 Elsevier B.V. All rights reserved.
机译:甜高粱已被认为是一种有前途的原料,可用于生物转化为燃料以及其他化学品。甜高粱的木质纤维素茎,称为甜高粱蔗渣(SSB),是木质纤维素生物燃料的潜在来源。这项研究的主要目的是确定最佳的碱(石灰:Ca(OH)(2)和碱液:NaOH)预处理条件,以获得更高的总还原糖收率,同时减少用于SSB生产生物燃料的木质素含量。通过响应面方法(RSM)分析的四个二次模型,同时优化了生物质转化和木质素去除。石灰预处理的最佳条件是石灰浓度为1.7%(w / v),SSB负载为6.0%(w / v),预处理时间为2.4h,预计生物质总转化率为85.6,木质素减少35.5%。对于碱液预处理,最佳浓度为2%(w / v)的碱,6.8%的SSB负载量和2.3小时的持续时间,预测的生物量转化率和木质素减少量分别为92.9%和50.0%。更加严格的预处理条件去除了更多量的半纤维素和纤维素。傅里叶变换红外光谱(FTIR)光谱和扫描电子显微镜(SEM)图像揭示了碱预处理引起的成分和微观结构变化。 (C)2015 Elsevier B.V.保留所有权利。

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