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首页> 外文期刊>Biotechnology and Bioengineering >Renewable bio ionic liquids-water mixtures-mediated selective removal of lignin from rice straw: Visualization of changes in composition and cell wall structure
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Renewable bio ionic liquids-water mixtures-mediated selective removal of lignin from rice straw: Visualization of changes in composition and cell wall structure

机译:可再生生物离子液体-水混合物介导的稻草中木质素的选择性去除:可视化成分和细胞壁结构的变化

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摘要

Pretreatment of rice straw by using renewable cholinium amino acids ionic liquids ([Ch][AA] ILs)-water mixtures and the subsequent enzymatic hydrolysis of the residues were conducted in the present work. Of the eight mixtures composed of ILs and water, most were found to be effective for rice straw pretreatment. After pretreatment with 50% ILs-water mixtures, the enzymatic digestion of the lignocellulosic biomass was enhanced significantly, thus leading to satisfactory sugar yields of >80% for glucose and approximately 50% for xylose. To better understand the ILs pretreatment mechanism, confocal laser scanning microscopy combined with immunolabeling and transmission electron microscopy were used to visualize changes in the contents and distribution of two major components-lignin and xylan. The results coupled with changes in chemical structures (infrared spectra) of the substrates indicated occurrence of extensive delignification, especially in cell corner and compound middle lumen of cell walls, which made polysaccharides more accessible to enzymes. This pretreatment process is promising for large-scale application because of the high sugar yields, easy handling, being environmentally benign and highly tolerant to moisture, and significantly reduced cost and energy consumption.
机译:在本工作中,通过使用可再生的胆碱氨基酸离子液体([Ch] [AA] ILs)-水混合物对稻草进行预处理,然后对残留物进行酶水解。在由离子液体和水组成的八种混合物中,大多数被发现对稻草预处理有效。用50%ILs-水混合物预处理后,木质纤维素生物质的酶消化显着增强,从而导致令人满意的糖收率(葡萄糖> 80%,木糖约50%)。为了更好地了解白介素的预处理机制,共聚焦激光扫描显微镜与免疫标记和透射电子显微镜相结合,可以观察到木质素和木聚糖这两种主要成分的含量和分布的变化。结果与底物化学结构(红外光谱)的变化相结合,表明发生了广泛的去木质素作用,尤其是在细胞角和细胞壁的复合中腔中,这使多糖更易被酶吸收。由于高糖产量,易于处理,对环境无害且对水分具有高度耐受性,并且显着降低了成本和能耗,因此该预处理方法有望大规模应用。

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