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Evaluation of different lignocellulosic biomass pretreatments by phenotypic microarray-based metabolic analysis of fermenting yeast

机译:基于表型微阵列的发酵酵母代谢分析评估不同木质纤维素生物质预处理

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Advanced generation biofuel production from lignocellulosic material (LCM) was investigated. A range of different thermo-chemical pre-treatments were evaluated with different LCM. The pre-treatments included; alkaline (5% NaOH at 50°C), acid (1% H2SO4 at 121°C) and autohydrolytical methods (200°C aqueous based hydrothermal) and were evaluated using samples of miscanthus, wheat-straw and willow. The liberation of sugars, presence of inhibitory compounds, and the degree of enhancement of enzymatic saccharification was accessed. The suitability of the pre-treatment generated hydrolysates (as bioethanol feedstocks for Saccharomyces cerevisiae) was also accessed using a phenotypic microarray that measured yeast metabolic output. The use of the alkaline pre-treatment liberated more glucose and arabinose into both the pre-treatment generated hydrolysate and also the hydrolysate produced after enzymatic hydrolysis (when compared with other pre-treatments). However, hydrolysates derived from use of alkaline pre-treatments were shown to be unsuitable as a fermentation medium due to issues with colloidal stability (high viscosity). Use of acid or autohydrolytical pre-treatments liberated high concentrations of monosaccharides regardless of the LCM used and the hydrolysates had good fermentation performance with measurable yeast metabolic output. Acid pre-treated wheat straw hydrolysates were then used as a model system for larger scale fermentations to confirm both the results of the phenotypic microarray and its validity as an effective high-throughput screening tool.
机译:研究了由木质纤维素材料(LCM)生产的新一代生物燃料。使用不同的LCM评估了一系列不同的热化学预处理。预处理包括:碱(在50°C下为5%NaOH),酸(在121°C下为1%H2SO4)和自动水解方法(200°C水性水热法)进行评估,并使用了桔梗,麦草和柳树样品进行了评估。获得了糖的释放,抑制性化合物的存在以及酶促糖化作用的增强程度。预处理产生的水解产物(作为酿酒酵母的生物乙醇原料)的适用性也可以通过测量酵母代谢产物的表型微阵列获得。碱性预处理的使用将更多的葡萄糖和阿拉伯糖释放到预处理产生的水解产物和酶水解后产生的水解产物中(与其他预处理相比)。然而,由于胶体稳定性(高粘度)的问题,显示出使用碱性预处理衍生的水解产物不适合作为发酵培养基。不管使用哪种LCM,酸或自水解预处理的使用都会释放出高浓度的单糖,并且水解产物具有良好的发酵性能,并且可测量出酵母的代谢量。然后将酸预处理的小麦秸秆水解产物用作大规模发酵的模型系统,以确认表型微阵列的结果及其作为有效高通量筛选工具的有效性。

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