Gas Chromatography-Tandem Mass Spectrometry of Lignin Pyrolyzates with Dopant-Assisted Atmospheric Pressure Chemical Ionization and Molecular Structure Search with CSI:FingerID

被引:11
|
作者
Larson, Evan A. [1 ]
Hutchinson, Carolyn P. [1 ]
Lee, Young Jin [1 ]
机构
[1] Iowa State Univ, Dept Chem, 35A Roy J Carver Co Lab,1111 WOI Rd, Ames, IA 50011 USA
基金
美国国家科学基金会;
关键词
Lignin; Pyrolysis; Tandem mass spectrometry; Dopant assistance; Atmospheric pressure chemical ionization; GC-MS; CSI:FingerID; Molecular structure prediction; METABOLITE IDENTIFICATION; COMPOUND IDENTIFICATION; QUADRUPOLE-TIME; ION-SOURCE; FRAGMENTATION; EXTRACTION; PESTICIDES; ADVANTAGES; PYROLYSIS; DATABASES;
D O I
10.1007/s13361-018-2001-3
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Dopant-assisted atmospheric pressure chemical ionization (dAPCI) is a soft ionization method rarely used for gas chromatography-mass spectrometry (GC-MS). The current study combines GC-dAPCI with tandem mass spectrometry (MS/MS) for analysis of a complex mixture such as lignin pyrolysis analysis. To identify the structures of volatile lignin pyrolysis products, collision-induced dissociation (CID) MS/MS using a quadrupole time-of-flight mass spectrometer (QTOFMS) and pseudo MS/MS through in-source collision-induced dissociation (ISCID) using a single stage TOFMS are utilized. To overcome the lack of MS/MS database, Compound Structure Identification (CSI):FingerID is used to interpret CID spectra and predict best matched structures from PubChem library. With this approach, a total of 59 compounds were positively identified in comparison to only 22 in NIST database search of GC-EI-MS dataset. This study demonstrates the effectiveness of GC-dAPCI-MS/MS to overcome the limitations of traditional GC-EI-MS analysis when EI-MS database is not sufficient.
引用
收藏
页码:1908 / 1918
页数:11
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