Charting the solid-state NMR signals of polysaccharides : A database-driven roadmap
© 2023 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.
Publié dans: | Magnetic resonance in chemistry : MRC. - 1985. - 62(2024), 4 vom: 01. Apr., Seite 298-309 |
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Auteur principal: | |
Autres auteurs: | , , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2024
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Accès à la collection: | Magnetic resonance in chemistry : MRC |
Sujets: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. 13C carbohydrate cell wall cellulose chitin glucan hemicellulose pectin plus... |
Résumé: | © 2023 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd. Solid-state nuclear magnetic resonance (ssNMR) measurements of intact cell walls and cellular samples often generate spectra that are difficult to interpret due to the presence of many coexisting glycans and the structural polymorphism observed in native conditions. To overcome this analytical challenge, we present a statistical approach for analyzing carbohydrate signals using high-resolution ssNMR data indexed in a carbohydrate database. We generate simulated spectra to demonstrate the chemical shift dispersion and compare this with experimental data to facilitate the identification of important fungal and plant polysaccharides, such as chitin and glucans in fungi and cellulose, hemicellulose, and pectic polymers in plants. We also demonstrate that chemically distinct carbohydrates from different organisms may produce almost identical signals, highlighting the need for high-resolution spectra and validation of resonance assignments. Our study provides a means to differentiate the characteristic signals of major carbohydrates and allows us to summarize currently undetected polysaccharides in plants and fungi, which may inspire future investigations |
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Description: | Date Completed 03.04.2024 Date Revised 23.04.2024 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1097-458X |
DOI: | 10.1002/mrc.5397 |