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Effect of anatomical fractionation on the enzymatic hydrolysis of acid and alkaline pretreated corn stover

机译:解剖分离对酸碱预处理玉米秸秆酶解的影响

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摘要

Due to concerns with biomass collection systems and soil sustainability there are opportunities to investigate the optimal plant fractions to collect for conversion. An ideal feedstock would require a low severity pretreatment to release a maximum amount of sugar during enzymatic hydrolysis. Corn stover fractions were separated manually and analyzed for glucan, xylan, acid soluble lignin, acid insoluble lignin, and ash composition. The stover fractions were also pretreated with either 0%, 0.4%, or 0.8% NaOH for 2 h at room temperature, washed, autoclaved and saccharified. In addition, dilute sulfuric acid pretreated samples underwent simultaneous saccharification and fermentation (SSF) to ethanol. In general, the two pretreatments produced similar trends with cobs, husks, and leaves responding best to the pretreatments. the tops of stalks responding slightly less, and the bottom of the stalks responding the least. For example, corn husks pretreated with 0.8% NaOH released over 90% (standard error of 3.8%) of the available glucan, while only 45% (standard error of 1.1%) of the glucan was produced from identically treated stalk bottoms. Estimates of the theoretical ethanol yield using acid pretreatment followed by SSF were 65% (standard error of 15.9%) for husks and 29% (standard error of 1.8%) for stalk bottoms. This Suggests that integration of biomass collection systems to remove sustainable feedstocks could be integrated with the processes within a biorefinery to minimize overall ethanol production Costs.
机译:由于对生物量收集系统和土壤可持续性的关注,因此有机会研究最佳植物级分以进行转化。理想的原料需要进行低强度的预处理,以在酶促水解过程中释放出最大量的糖。手动分离玉米秸秆流分并分析葡聚糖,木聚糖,酸溶性木质素,酸不溶性木质素和灰分组成。秸秆馏分也用0%,0.4%或0.8%NaOH在室温下预处理2小时,洗涤,高压灭菌并糖化。此外,将稀硫酸预处理的样品同时糖化和发酵(SSF)制成乙醇。通常,两种预处理产生的趋势相似,玉米棒,稻壳和叶子对预处理的响应最佳。秸秆的顶部反应较慢,秸秆的底部响应最少。例如,用0.8%NaOH预处理的玉米壳释放了超过90%(标准误差为3.8%)的可用葡聚糖,而经相同处理的秸秆底部仅产生了45%(标准误差为1.1%)的葡聚糖。使用酸预处理和SSF进行的理论乙醇收率估算值对稻壳为65%(标准误为15.9%),对于秸秆底部为29%(标准误为1.8%)。这表明可以将生物量收集系统的整合以去除可持续的原料与生物精炼厂的流程整合在一起,以最大程度地降低乙醇生产的总成本。

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