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Phenolic acetals from lignins of varying compositions via iron(III) triflate catalysed depolymerisation

机译:通过三氟甲磺酸铁(III)催化不同组成的木质素的酚醛缩醛

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摘要

Lignin is a highly abundant, renewable aromatic polymer that can potentially be obtained in large quantities from lignocellulosic biorefineries. Thus the valorisation of this renewable resource by the production of aromatic chemicals would be highly desirable and is especially important for achieving high yields of these products. In this regard, not only the catalytic method used should be highly selective, but also we must better understand the possible correlations between the structure of the lignin used and the yield of useful products. Here, we demonstrate that lignins obtained from a range of different biomass sources and pretreatment methods can be successfully depolymerized using iron(III) triflate in the presence of ethylene glycol to give p-(1,3-dioxolan-2-yl)methyl substituted phenols. 27 lignins, obtained from 13 different pretreatment methods, were examined in this study. A combined yield of up to 35.5 wt% of acetal products was obtained from a beta-aryl ether rich organosolv lignin and the best yield of a single component (16.5 wt%) was achieved starting from pine lignin. Much lower yields were obtained from technical lignins which were low in beta-aryl ether content, whilst a range of organosolv lignins of intermediate beta-aryl ether content gave intermediate yields of acetal products. Overall, correlations were found between the product distributions and yields and structural data of the parent lignins obtained from 2D HSQC NMR analysis.
机译:木质素是高度丰富的可再生芳族聚合物,可以潜在地从木质纤维素生物精炼厂大量获得。因此,非常需要通过生产芳香族化学品来对这种可再生资源进行增值,这对于实现这些产品的高收率尤其重要。在这方面,不仅所用的催化方法应具有高度选择性,而且我们还必须更好地了解所用木质素的结构与有用产物的产率之间的可能联系。在这里,我们证明了从一系列不同的生物质来源和预处理方法获得的木质素可以在乙二醇存在下使用三氟甲磺酸铁(III)成功地解聚,得到对位(1,3-二氧杂戊环基-2-基)甲基酚类。本研究检查了从13种不同的预处理方法中获得的27种木质素。从富含β-芳基醚的有机溶剂木质素获得高达35.5重量%的乙缩醛产物的组合产率,并且从松木质素开始获得单一组分的最佳产率(16.5重量%)。 β-芳基醚含量低的工业木质素的收率要低得多,而β-芳基醚含量中等的一系列有机溶剂木质素的缩醛产物的产率中等。总体而言,发现了从2D HSQC NMR分析获得的亲本木质素的产物分布,产率和结构数据之间的相关性。

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