Suppr超能文献

实验室脱木质素方法的比较、选择性及其对纤维素生物质理化特性的影响。

Comparison of laboratory delignification methods, their selectivity, and impacts on physiochemical characteristics of cellulosic biomass.

机构信息

Center for Environmental Research and Technology, Bourns College of Engineering, University of California, Riverside, 1084 Columbia Avenue, Riverside, CA 92507, United States.

出版信息

Bioresour Technol. 2013 Feb;130:372-81. doi: 10.1016/j.biortech.2012.12.028. Epub 2012 Dec 13.

Abstract

Two established delignification methods employing sodium chlorite-acetic acid (SC/AA) and peracetic acid (PAA) are often used, and are reportedly highly selective. However, these reports are mostly for highly recalcitrant and unpretreated softwoods and hardwoods species, and information for less recalcitrant lignocellulosic feedstocks and pretreated biomass is scarce. Furthermore, the effects on cellulose structure are not documented. Thus, in this study, delignification kinetics and selectivity were evaluated when SC/AA and PAA were applied to untreated switchgrass, poplar, corn stover, and pine sawdust; poplar subjected to AFEX, controlled pH, lime, and SO(2) pretreatments; and the cellulose model compounds. Both methods proved effective in removing >90% lignin, but selectivity for lignin and carbohydrates removal was substrate and pretreatment dependent. For untreated biomass, PAA was more selective in removing lignin than SC/AA; however, both methods were less selective for pretreated solids. Cellulose characterizations revealed that PAA had less pronounced impacts on cellulose structure.

摘要

两种成熟的脱木质素方法,即亚氯酸钠-乙酸(SC/AA)和过氧乙酸(PAA),通常被使用,且据称具有高度选择性。然而,这些报道大多针对高度难处理的未预处理软木和硬木物种,对于较难处理的木质纤维素原料和预处理生物质的信息则很少。此外,对纤维素结构的影响也没有记录。因此,在这项研究中,当 SC/AA 和 PAA 应用于未处理的柳枝稷、杨树、玉米秸秆和松木刨花、经过 AFEX、控制 pH 值、石灰和 SO2 预处理的杨树,以及纤维素模型化合物时,评估了脱木质素的动力学和选择性。这两种方法都能有效地去除>90%的木质素,但木质素和碳水化合物去除的选择性取决于底物和预处理。对于未处理的生物质,PAA 比 SC/AA 更具选择性地去除木质素;然而,这两种方法对预处理的固体的选择性都较低。纤维素特性表明,PAA 对纤维素结构的影响较小。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验