Department of Chemistry, Humboldt-Universität zu Berlin, Berlin, Germany.
Rapid Commun Mass Spectrom. 2019 May;33 Suppl 1:2-10. doi: 10.1002/rcm.8254. Epub 2018 Sep 23.
Lignin is the second most abundant natural biopolymer and its wastes are significant sources for renewable chemicals as an alternative to conventional fossil fuels. Consequently, chemical characterization methods are required to assess the content of valuable chemicals contained in these complex lignin wastes. This short overview summarizes rapid data-processing methods developed in our laboratory for application to full-scan raw data from high-resolution mass spectrometry experiments of decomposed lignin samples. The discussed graphical and statistical methods support the initial classification and elucidation of the main structural features of the lignin components without the need for time-consuming tandem mass spectrometry analyses.
木质素是第二丰富的天然生物聚合物，其废物是可再生化学品的重要来源，可以替代传统的化石燃料。因此，需要化学表征方法来评估这些复杂木质素废物中所含有价值化学品的含量。本文简要概述了我们实验室开发的快速数据处理方法，这些方法适用于分解木质素样品的高分辨率质谱实验的全扫描原始数据。讨论的图形和统计方法支持对木质素成分的主要结构特征进行初步分类和阐明，而无需进行耗时的串联质谱分析。
