Evidence map›Paper›PMID 38222598›Full record

ArticleACS omega2024

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

Lara Dütsch, Klara Sander, Erica Brendler, Martina Bremer, Steffen Fischer, Carla Vogt, Jan Zuber

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Lara DütschInstitute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.ORCID https://orcid.org/0000-0003-2965-0165
Klara SanderInstitute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.
Erica BrendlerInstitute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.ORCID https://orcid.org/0000-0003-0818-5524
Martina BremerInstitute of Plant and Wood Chemistry, TU Dresden, Pienner Strasse 19, Tharandt 01737, Germany.
Steffen FischerInstitute of Plant and Wood Chemistry, TU Dresden, Pienner Strasse 19, Tharandt 01737, Germany.
Carla VogtInstitute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.
Jan ZuberInstitute of Analytical Chemistry, TU Bergakademie Freiberg, Leipziger Strasse 29, Freiberg 09599, Germany.ORCID https://orcid.org/0000-0002-4269-6275
TU Bergakademie Freiberg · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID38222598
PMCPMC10785065
OpenAlexW4389939095

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.