4.8 Article

Multiple hydrogen bond coordination in three-constituent deep eutectic solvents enhances lignin fractionation from biomass

期刊

GREEN CHEMISTRY
卷 20, 期 12, 页码 2711-2721

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c8gc00900g

关键词

-

资金

  1. National Natural Science Foundation of China [31670583, 31622016]
  2. Natural Science Foundation of Heilongjiang Province of China [JC2016002]
  3. Fundamental Research Funds for the Central Universities [2572017DG01]

向作者/读者索取更多资源

As an emerging generation of green solvents, deep eutectic solvents (DESs) are promising for the pretreatment of lignocellulose and the production of biochemicals. However, not all DESs are effective for the cleavage of lignin-carbohydrate complexes ( LCCs) in lignocellulose and the fractionation of lignin. In this study, we analyzed the nature of complex molecular interactions between choline chloride ( ChCl) and glycerol in ChCl/ glycerol ( 1 : 2) DES using density functional theory and the Kamlet-Taft solvatochromic method. The ChCl-glycerol DES exhibited weak competing interactions towards the linkages in the LCC network because the intramolecular hydrogen bonds ( H-bonds) in ChCl-glycerol were constrained by mutually anionic H-bonds ([ Cl( glycerol)(-) and cationic H-bonds ([ Ch( glycerol)(+). Furthermore, because of the absence of active protons and acidic sites, the DES was unable to cleave ether bond linkages in the LCCs. Accordingly, we designed a three-constituent DES ( 3c-DES) by coordinating AlCl3 similar to 6H2O in ChCl/ glycerol DES based on an acidic multisite coordination theory. The competition of anionic H-bonds and unidentate aluminum ligands was synchronized to form supramolecular complexes, allowing the multisite bridging ligands to cleave both the H-bonds and ether bonds in LCCs. Consequently, the lignin fractionation efficiency was significantly improved from 3.61% to 95.46%, and the lignin purity reached 94 similar to 0.45%.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据