Literature DB >> 21359577

Comprehensive study of condensed tannins by ESI mass spectrometry: average degree of polymerisation and polymer distribution determination from mass spectra.

Laetitia Mouls1, Jean-Paul Mazauric, Nicolas Sommerer, Hélène Fulcrand, Gérard Mazerolles.   

Abstract

The determination of the molecular mass distribution of tannins is still a challenge. To elucidate it, mass spectrometry is potentially interesting, but many previous studies have highlighted that the mass spectra of a tannin fraction do not always reflect the actual abundance of different chain lengths. To clarify the potentialities offered by the MS approach, a comprehensive study involving different tannin fractions analysed under different conditions was conducted with an electrospray ionization (ESI) source. This study allowed optimised ESI-MS conditions to be established for analysing tannins but also it outlines the limits of detection encountered. If the detection of high molecular weight tannins seems difficult or even impossible, the spectral distortions brought about by this limitation are not totally related to the sole average degree of polymerisation of the tannin fraction studied but greatly depend on its polymer distribution. However, ESI-MS used under optimised conditions is a suitable method to study tannin composition of vegetable extracts which contain degree of polymerisations below 26.

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Year:  2011        PMID: 21359577     DOI: 10.1007/s00216-011-4751-7

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  5 in total

1.  Proanthocyanidin Block Arrays (PACBAR) for Comprehensive Capture and Delineation of Proanthocyanidin Structures.

Authors:  Shuxi Jing; Wayne E Zeller; Daneel Ferreira; Bin Zhou; Joo-Won Nam; Ana Bedran-Russo; Shao-Nong Chen; Guido F Pauli
Journal:  J Agric Food Chem       Date:  2020-11-11       Impact factor: 5.279

2.  Climate Influences the Content and Chemical Composition of Foliar Tannins in Green and Senesced Tissues of Quercus rubra.

Authors:  Sara M Top; Caroline M Preston; Jeffrey S Dukes; Nishanth Tharayil
Journal:  Front Plant Sci       Date:  2017-05-16       Impact factor: 5.753

3.  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

4.  UHPLC-PDA-ESI/HRMSn profiling method to identify and quantify oligomeric proanthocyanidins in plant products.

Authors:  Long-Ze Lin; Jianghao Sun; Pei Chen; Maria J Monagas; James M Harnly
Journal:  J Agric Food Chem       Date:  2014-09-18       Impact factor: 5.279

Review 5.  Evolution of analysis of polyhenols from grapes, wines, and extracts.

Authors:  Bénédicte Lorrain; Isabelle Ky; Laurent Pechamat; Pierre-Louis Teissedre
Journal:  Molecules       Date:  2013-01-16       Impact factor: 4.411

  5 in total

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