Chemometric Combination of Ultrahigh Resolving Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy for a Structural Characterization of Lignin Compounds.


Journal

ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658

Informations de publication

Date de publication:
09 Jan 2024
Historique:
received: 22 08 2023
revised: 02 11 2023
accepted: 07 12 2023
medline: 15 1 2024
pubmed: 15 1 2024
entrez: 15 1 2024
Statut: epublish

Résumé

In recent years, the potential of lignins as a resource for material-based applications has been highlighted in many scientific and nonscientific publications. But still, to date, a lack of detailed structural knowledge about this ultracomplex biopolymer undermines its great potential. The chemical complexity of lignin demands a combination of different, powerful analytical methods, in order to obtain these necessary information. In this paper, we demonstrate a multispectroscopic approach using liquid-state and solid-state Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and nuclear magnetic resonance (NMR) spectroscopy to characterize a fractionated LignoBoost lignin. Individual FT-ICR-MS, tandem MS, and NMR results helped to determine relevant information about the different lignin fractions, such as molecular weight distributions, oligomer sizes, linkage types, and presence of specific functional groups. In addition, a hetero spectroscopic correlation approach was applied to chemometrically combine MS, MS/MS, and NMR data sets. From these correlation analyses, it became obvious that a combination of tandem MS and NMR data sets gives the opportunity to comprehensively study and describe the general structure of complex biopolymer samples. Compound-specific structural information are obtainable, if this correlation approach is extended to 1D-MS and NMR data, as specific functional groups or linkages are verifiable for a defined molecular formula. This enables structural characterization of individual lignin compounds without the necessity for tandem MS experiments. Hence, these correlation results significantly improve the depth of information of each individual analysis and will hopefully help to structurally elucidate entire lignin structures in the near future.

Identifiants

pubmed: 38222598
doi: 10.1021/acsomega.3c06222
pmc: PMC10785065
doi:

Types de publication

Journal Article

Langues

eng

Pagination

628-641

Informations de copyright

© 2023 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Auteurs

Lara Dütsch (L)

Institute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.

Klara Sander (K)

Institute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.

Erica Brendler (E)

Institute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.

Martina Bremer (M)

Institute of Plant and Wood Chemistry, TU Dresden, Pienner Strasse 19, Tharandt 01737, Germany.

Steffen Fischer (S)

Institute of Plant and Wood Chemistry, TU Dresden, Pienner Strasse 19, Tharandt 01737, Germany.

Carla Vogt (C)

Institute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.

Jan Zuber (J)

Institute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.

Classifications MeSH