Literature DB >> 25038686

How to gain insight into the polydispersity of tannins: a combined MS and LC study.

Laetitia Mouls1, Virginie Hugouvieux2, Jean-Paul Mazauric2, Nicolas Sommerer2, Gérard Mazerolles2, Hélène Fulcrand2.   

Abstract

In the context of the potential health benefits of food polyphenols, the bioavailability of tannins (i.e. proanthocyanidins) is a major issue, which is strongly influenced by the polydispersity and the degree of polymerisation of tannins. The average degree of polymerisation (DP) of tannins is usually determined using depolymerisation methods, which do not provide any information about their polymer distribution. Moreover, it is still a challenge to characterise tannin fractions of high polydispersity and/or containing polymers of high molecular weights, due to the limit of detection of direct mass spectrometry (MS) analysis methods. In the present work, the polydispersity of several tannin fractions is investigated by two complementary methods: a MALDI-MS method and a semi-preparative sub-fractionation. Using a combination of these methods we are able to gain insight into the DP distributions of the fractions consisting of tannins of medium and high DP. Moreover combining analyses can be useful to assess and compare the DP distributions of most tannin fractions.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chromatography; Mass spectrometry; Polydispersity; Polymer; Polyphenol; Tannin

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Year:  2014        PMID: 25038686     DOI: 10.1016/j.foodchem.2014.05.121

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models.

Authors:  Soo-Ah Jin; Tero Kämäräinen; Patrick Rinke; Orlando J Rojas; Milica Todorović
Journal:  MRS Bull       Date:  2022-02-28       Impact factor: 4.882

2.  Improved Analysis of Isomeric Polyphenol Dimers Using the 4th Dimension of Trapped Ion Mobility Spectrometry-Mass Spectrometry.

Authors:  Aécio L de Sousa Dias; Arnaud Verbaere; Emmanuelle Meudec; Stacy Deshaies; Cédric Saucier; Véronique Cheynier; Nicolas Sommerer
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

  2 in total

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