Literature DB >> 32807359

Mechanochemical generation of Schiff bases and Amadori products and utilization of diagnostic MS/MS fragmentation patterns in negative ionization mode for their analysis.

Haoran Xing1, Varoujan Yaylayan2.   

Abstract

The use of tandem mass spectrometry under positive ionization mode was previously developed as a tool for distinguishing isomeric Schiff bases and Amadori products. In this paper, similar diagnostic MS/MS fragmentation patterns were identified under negative ionization mode and was utilized to study the composition of mechanochemically generated Maillard reaction mixtures. The major diagnostic ion of the Schiff base was found to be a diose attached to the amino acid residue, while that of the Amadori compound was a triose. The structures of the diagnostic ions were confirmed through isotope labeling technique and elemental composition. Furthermore, application of this technique showed that ball milling of glucose with different amino acids almost exclusively results in the formation of a mixture of Schiff bases and Amadori compounds, and that amino acids with basic side chains generated more Schiff bases and those with acidic side chains generated more Amadori products.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Amadori compound; Ball milling; Diagnostic ions; ESI negative mode; ESI-qToF-MS/MS; Maillard reaction; Mechanochemistry; Schiff base; Tandem mass spectrometry (MS/MS)

Mesh:

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Year:  2020        PMID: 32807359     DOI: 10.1016/j.carres.2020.108091

Source DB:  PubMed          Journal:  Carbohydr Res        ISSN: 0008-6215            Impact factor:   2.104


  2 in total

Review 1.  A Review on the Antimicrobial Activity of Schiff Bases: Data Collection and Recent Studies.

Authors:  Jessica Ceramella; Domenico Iacopetta; Alessia Catalano; Francesca Cirillo; Rosamaria Lappano; Maria Stefania Sinicropi
Journal:  Antibiotics (Basel)       Date:  2022-02-01

2.  Insight into Isomeric Diversity of Glycated Amino Acids in Maillard Reaction Mixtures.

Authors:  Haoran Xing; Varoujan Yaylayan
Journal:  Int J Mol Sci       Date:  2022-03-23       Impact factor: 5.923

  2 in total

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