Literature DB >> 27469607

Negative ion mode atmospheric pressure ionization methods in lignin mass spectrometry: A comparative study.

Dmitry S Kosyakov1,2, Nikolay V Ul'yanovskii1,2, Elena A Anikeenko1, Natalia S Gorbova2.   

Abstract

RATIONALE: Mass spectrometry with atmospheric pressure ionization is the most promising method for studying the structure of natural lignin, which is the second most abundant biopolymer in nature. The goal of this study is to compare the efficiency and characteristics of different types of ionization techniques (ESI, APCI, and APPI) in the negative ion mode by the example of softwood lignin.
METHODS: As the subjects of the study, we selected a preparation of spruce dioxane lignin and several phenols, simulating the basic structural fragments of the lignin macromolecule. High-resolution mass spectra were recorded using an Orbitrap mass spectrometer. Acetone was used as a solvent for samples and a dopant in photoionization mode. The ionization conditions were optimized to achieve the maximum intensity of the mass spectra.
RESULTS: The formation of deprotonated lignin molecules is characteristic of all the studied types of ionization; partial fragmentation of the biopolymer occurs in all ionization modes. ESI in the presence of ammonia yields low-intensity signals, leads to a significant decrease in ionization efficiency with increasing molecular weight of lignin oligomers, gives high-intensity impurity peaks in the mass spectra, and demonstrates selectivity for more polar structures. The ionization efficiency increases sharply in the order of ESI < APCI < APPI. The two latter methods are characterized by similar mechanisms of ionization; they ensure detection of approximately 1900 spruce lignin oligomers in the range of molecular weights up to 1.8 kDa. The determination of the elemental composition of oligolignols enabled the four main groups of compounds to be distinguished.
CONCLUSIONS: Photoionization using acetone as a dopant is distinguished by a significantly higher intensity of signals and the lowest sensitivity to contaminants present in the lignin preparation. This ionization method can be considered as preferred for studying the dioxane lignin preparations of woody plants.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

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Year:  2016        PMID: 27469607     DOI: 10.1002/rcm.7686

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  5 in total

1.  Electrospray Ionization with High-Resolution Mass Spectrometry as a Tool for Lignomics: Lignin Mass Spectrum Deconvolution.

Authors:  Anastasia A Andrianova; Thomas DiProspero; Clayton Geib; Irina P Smoliakova; Evguenii I Kozliak; Alena Kubátová
Journal:  J Am Soc Mass Spectrom       Date:  2018-03-12       Impact factor: 3.109

2.  Utilizing ion mobility spectrometry-mass spectrometry for the characterization and detection of persistent organic pollutants and their metabolites.

Authors:  Noor A Aly; James N Dodds; Yu-Syuan Luo; Fabian A Grimm; MaKayla Foster; Ivan Rusyn; Erin S Baker
Journal:  Anal Bioanal Chem       Date:  2021-10-20       Impact factor: 4.478

3.  Characterization of Ionic Liquid Lignins Isolated from Spruce Wood with 1-Butyl-3-methylimidazolium Acetate and Methyl Sulfate and Their Binary Mixtures with DMSO.

Authors:  Artyom V Belesov; Anton V Ladesov; Ilya I Pikovskoi; Anna V Faleva; Dmitry S Kosyakov
Journal:  Molecules       Date:  2020-05-27       Impact factor: 4.411

Review 4.  Characterization of Lignin Compounds at the Molecular Level: Mass Spectrometry Analysis and Raw Data Processing.

Authors:  Ruochun Zhang; Yulin Qi; Chao Ma; Jinfeng Ge; Qiaozhuan Hu; Fu-Jun Yue; Si-Liang Li; Dietrich A Volmer
Journal:  Molecules       Date:  2021-01-01       Impact factor: 4.411

5.  Features of the Chemical Composition and Structure of Birch Phloem Dioxane Lignin: A Comprehensive Study.

Authors:  Anna V Faleva; Ilya I Pikovskoi; Sergey A Pokryshkin; Dmitry G Chukhchin; Dmitry S Kosyakov
Journal:  Polymers (Basel)       Date:  2022-02-28       Impact factor: 4.329

  5 in total

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