Site-selective and stochastic spin labelling of neutral water-soluble dietary fibers optimized for electron paramagnetic resonance spectroscopy.

Binding interaction Electron paramagnetic resonance Site-selective spin labelling Size exclusion chromatography Stochastic spin labelling Water-soluble dietary fibers

Journal

Carbohydrate polymers
ISSN: 1879-1344
Titre abrégé: Carbohydr Polym
Pays: England
ID NLM: 8307156

Informations de publication

Date de publication:
01 Oct 2022
Historique:
received: 01 04 2022
revised: 08 06 2022
accepted: 08 06 2022
entrez: 7 7 2022
pubmed: 8 7 2022
medline: 12 7 2022
Statut: ppublish

Résumé

Use of spin labels to study structures of polymers has been widely spread in polymer science. However, for the studies of neutral water-soluble dietary fibers (DFs), labelling efficiencies in past studies have only been sufficient for application of continuous wave electron paramagnetic resonance spectroscopy (CW-EPR), but still insufficient for some advanced methods such as pulse EPR. Thus, in this paper, two spin labelling strategies, namely, site-selective mono-spin-labelling and stochastic multi-spin-labelling, were examined on linear cereal β-glucan, as well as linearly branched arabinoxylan and galactomannan. The effects of both methods in DF properties were evaluated. For the mono-labelling pathway, labelling efficiency could reach up to 46 %. In the stochastic labelling strategy, a degree of substitution (DS) up to 150 % could be reached, whereas optimized conditions for this strategy were achieved at DS = 3 % to obtain DFs whose bioactivity properties were still preserved while spin labelling efficiency was still sufficient for CW and pulse EPR experiments.

Identifiants

pubmed: 35798422
pii: S0144-8617(22)00629-4
doi: 10.1016/j.carbpol.2022.119724
pii:
doi:

Substances chimiques

Dietary Fiber 0
Spin Labels 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119724

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Xiaowen Wu (X)

Department of Health Science and Technology, Institute of Food, Nutrition and Health, ETH Zurich, 8092 Zurich, Switzerland. Electronic address: xiaowen.wu@hest.ethz.ch.

Samy Boulos (S)

Department of Health Science and Technology, Institute of Food, Nutrition and Health, ETH Zurich, 8092 Zurich, Switzerland. Electronic address: samy.boulos@hest.ethz.ch.

Maxim Yulikov (M)

Laboratory of Physical Chemistry, ETH Zürich, Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland. Electronic address: maxim.yulikov@phys.chem.ethz.ch.

Laura Nyström (L)

Department of Health Science and Technology, Institute of Food, Nutrition and Health, ETH Zurich, 8092 Zurich, Switzerland. Electronic address: laura.nystroem@hest.ethz.ch.

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Classifications MeSH