Literature DB >> 31888826

Robust enzymatic-mass spectrometric fingerprinting analysis of the fraction of acetylation of chitosans.

Jasper Wattjes1, Anna Niehues2, Bruno M Moerschbacher3.   

Abstract

We developed a rapid and precise method to determine the fraction of acetylation (FA) of unknown chitosan samples using a combination of enzymatic sample hydrolysis, isotopic labeling, and HILIC-ESI-MS analysis. Chitosans are β-(1,4)-linked, partially N-acetylated and linear polyglucosamines representing an interesting group of functional biopolymers with a broad range of applications. For a better understanding of their structure-function relationships, it is key to have sensitive, accurate structural analysis tools available to determine parameters like the degree of polymerization (DP), fraction of acetylation (FA), or pattern of acetylation (PA). Here, we describe an improved enzymatic/mass spectrometric method for FA analysis of chitosan polymers. In contrast to the original chitinosanase-based mass spectrometric fingerprinting analysis of FA, the new method is independent of the PA and the intermolecular variation in FA (ĐFA) of the chitosan sample. This allows accurate analysis of heterogeneously de-N-acetylated samples representing the majority of commercially available chitosans.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chitosan; Chitosan hydrolases; Enzymatic fingerprinting; F(A) determination; Mass spectrometry

Mesh:

Substances:

Year:  2019        PMID: 31888826     DOI: 10.1016/j.carbpol.2019.115684

Source DB:  PubMed          Journal:  Carbohydr Polym        ISSN: 0144-8617            Impact factor:   9.381


  2 in total

1.  Deciphering the ChitoCode: fungal chitins and chitosans as functional biopolymers.

Authors:  Stefan Cord-Landwehr; Bruno M Moerschbacher
Journal:  Fungal Biol Biotechnol       Date:  2021-12-10

2.  Structure-Function Insights into the Fungal Endo-Chitinase Chit33 Depict its Mechanism on Chitinous Material.

Authors:  Elena Jiménez-Ortega; Peter Elias Kidibule; María Fernández-Lobato; Julia Sanz-Aparicio
Journal:  Int J Mol Sci       Date:  2022-07-09       Impact factor: 6.208

  2 in total

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