Department of Materials Textiles and Chemical Engineering (MaTCh), Ghent University, Valentin Vaerwyckweg 1, 9000, Ghent, Belgium.
Interscience Expert Center (IS-X), Avenue J.E. Lenoir 2, 1384, Louvain-la-Neuve, Belgium.
ChemistryOpen. 2021 Aug;10(8):740-747. doi: 10.1002/open.202100088.
Lignin valorization and particularly its depolymerization into bio-aromatics, has emerged as an important research topic within green chemistry. However, screening of catalysts and reaction conditions within this field is strongly constrained by the lack of analytical techniques that allow for fast and detailed mapping of the product pools. This analytical gap results from the inherent product pool complexity and the focus of the state-of-the-art on monomers and dimers, overlooking the larger oligomers. In this work, this gap is bridged through the development of a quasi-orthogonal GPC-HPLC-UV/VIS method that is able to separate the bio-aromatics according to molecular weight (hydrodynamic volume) and polarity. The method is evaluated using model compounds and real lignin depolymerization samples. The resulting color plots provide a powerful graphical tool to rapidly assess differences in reaction selectivity towards monomers and dimers as well as to identify differences in the oligomers.
木质素的增值利用,特别是解聚为生物芳烃,已成为绿色化学领域的一个重要研究课题。然而,该领域的催化剂筛选和反应条件受到缺乏分析技术的严重限制,这些技术无法快速、详细地绘制产物分布。这种分析上的差距源于产物分布的固有复杂性,以及最先进的技术集中在单体和二聚体上,而忽略了更大的低聚物。在这项工作中,通过开发一种准正交的 GPC-HPLC-UV/VIS 方法来弥补这一差距,该方法能够根据分子量(流体力学体积)和极性对生物芳烃进行分离。该方法使用模型化合物和真实木质素解聚样品进行了评估。所得的彩色图谱提供了一种强大的图形工具,可快速评估对单体和二聚体的反应选择性差异,并识别低聚物之间的差异。