School of Light Industry and Food Engineering, Guangxi University, Nanning 530004, PR China.
School of Light Industry and Food Engineering, Guangxi University, Nanning 530004, PR China; State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.
Bioresour Technol. 2021 Sep;336:125312. doi: 10.1016/j.biortech.2021.125312. Epub 2021 May 21.
Herein, ten types of lactic acid-based deep eutectic solvents (DESs) with differently structured hydrogen bond acceptors (HBAs) were used for corn stover pretreatment. Among the tested DESs, those composed of HBAs with short alkyl chain were more effective to remove lignin and xylan, resulting in higher enzymatic digestion of the pretreated solids than their counterparts with long alky chain. Also, functional groups of HBAs demonstrated significant effects on biomass deconstruction. In order to interpret the different pretreatment performance of the tested DESs, Kamlet-Taft solvent polarity parameters of the tested DESs were correlated to their lignocellulose pretreatment performance. It was found that hydrogen bond acidity (Kamlet-Taft α parameter) had strong positive relationships with pretreatment efficacy of the studied DESs. These findings not only clarified the structure-property-performance relationships of the DESs, but also provided novel insights into design and selection of DESs for lignocellulose pretreatment.
在此，使用了十种不同结构氢键受体（HBA）的基于乳酸的深共晶溶剂（DES）对玉米秸秆进行预处理。在测试的 DES 中，那些由短烷基链 HBA 组成的 DES 更有效地去除木质素和木聚糖，从而使预处理固体的酶解效率高于具有长烷基链的 DES。此外，HBA 的官能团对生物质的解构也有显著影响。为了解释测试的 DES 预处理性能的不同，将测试的 DES 的 Kamlet-Taft 溶剂极性参数与它们的木质纤维素预处理性能相关联。结果发现，氢键酸度（Kamlet-Taft α 参数）与研究 DES 的预处理效果呈强正相关。这些发现不仅阐明了 DES 的结构-性能-行为关系，而且为设计和选择用于木质纤维素预处理的 DES 提供了新的思路。
