Literature DB >> 30711103

Lipid profiling and analytical discrimination of seven cereals using high temperature gas chromatography coupled to high resolution quadrupole time-of-flight mass spectrometry.

Simon Hammann1, Ansgar Korf2, Ian D Bull3, Heiko Hayen2, Lucy J E Cramp4.   

Abstract

Minor lipids in cereals (such as phytosterols and alkylresorcinols) can be important for human nutrition and/or be used as biomarkers for cereal intake. However, the analysis of cereal lipids is very challenging due to the complex lipidome comprising several hundred individual compounds present over a wide range of concentrations. Here we present a method for the profiling of cereal lipids using high temperature gas chromatography coupled to high resolution mass spectrometry (GC/Q-TOF MS). The method was used to investigate the lipid profiles of 77 samples of bread wheat, spelt, einkorn, emmer, barley, rye and oats. Distinct differences in the patterns of alkylresorcinols, free and conjugated sterols and tocopherols between the cereals could be observed. Furthermore, traces of tocomonoenols and diunsaturated and methyl-alkylresorcinols (not previously reported in cereals) could be detected. Finally, the lipid patterns in the cereals could be used to separate the cereals by Principal Component Analysis.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Keywords:  Alkylresorcinol; Cereal; Gas chromatography; Lipid; Mass spectrometry; Principal Component Analysis; Sterol; Tocopherol

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Year:  2019        PMID: 30711103     DOI: 10.1016/j.foodchem.2018.12.109

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


  2 in total

1.  5-n-Alkylresorcinol Profiles in Different Cultivars of Einkorn, Emmer, Spelt, Common Wheat, and Tritordeum.

Authors:  Clara Pedrazzani; Francesca Vanara; Dhaka Ram Bhandari; Renato Bruni; Bernhard Spengler; Massimo Blandino; Laura Righetti
Journal:  J Agric Food Chem       Date:  2021-11-18       Impact factor: 5.279

2.  Digging deeper - A new data mining workflow for improved processing and interpretation of high resolution GC-Q-TOF MS data in archaeological research.

Authors:  Ansgar Korf; Simon Hammann; Robin Schmid; Matti Froning; Heiko Hayen; Lucy J E Cramp
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

  2 in total

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