Assessment of molecular diversity of lignin products by various ionization techniques and high-resolution mass spectrometry

被引:41
作者
Qi, Yulin [1 ]
Fu, Pingqing [1 ]
Li, Siliang [1 ]
Ma, Chao [1 ]
Liu, Congqiang [1 ]
Volmer, Dietrich A. [2 ]
机构
[1] Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin, Peoples R China
[2] Humboldt Univ, Dept Chem, Berlin, Germany
基金
中国国家自然科学基金;
关键词
Lignin; ESI; APPI; APCI; FT-ICR MS; ATMOSPHERIC-PRESSURE PHOTOIONIZATION; OFF-RESONANCE IRRADIATION; STRUCTURAL-CHARACTERIZATION; CHEMICAL-IONIZATION; ORGANIC AEROSOLS; ION ISOLATION; WEIGHT; SOFTWOOD; ACIDS; CHROMATOGRAPHY;
D O I
10.1016/j.scitotenv.2020.136573
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lignin is a highly complex, plant-derived natural biomass component, the analysis of which requires significant demands on the analytical platform. Fourier transform ion cyclotron mass spectrometry (FT-ICR MS) has been shown to be able to readily assess the complexity of lignin and lignin degradation products by assigning tens of thousands of compounds with elemental formulae. Nevertheless, many experimental and instrumental parameters introduce discrimination towards certain components, which limits the comprehensive MS analysis. As a result, a complete characterization of the lignome remains a challenge. The present study investigated a degraded lignin sample using FT-ICR MS and compared several atmospheric pressure ionization methods, e.g., electrospray ionization, atmospheric-pressure chemical ionization, and atmospheric-pressure photoionization. The results clearly show that the number of heteroatoms (e.g., N, S, P) in the sample greatly increases the chemical diversity of lignin, while at the same time also providing potentially useful biomarkers. We demonstrate here that FT-ICR MS was able to directly isolate isotopically pure single components from the ultra-complex mixture for subsequent structural analysis, without the time-consuming chromatographic separation. Capsule: Various ionization techniques coupled to FT-ICR MS provide a powerful tool to assess the lignome coverage. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
相关论文
共 67 条