Metabolites (Sep 2023)

Food Monitoring: Limitations of Accelerated Storage to Predict Molecular Changes in Hazelnuts (<i>Corylus avellana</i> <span style="font-variant: small-caps">L</span>.) under Realistic Conditions Using UPLC-ESI-IM-QTOF-MS

  • Henri Loesel,
  • Navid Shakiba,
  • Soeren Wenck,
  • Phat Le Tan,
  • Tim-Oliver Karstens,
  • Marina Creydt,
  • Stephan Seifert,
  • Thomas Hackl,
  • Markus Fischer

DOI
https://doi.org/10.3390/metabo13101031
Journal volume & issue
Vol. 13, no. 10
p. 1031

Abstract

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Accelerated storage is routinely used with pharmaceuticals to predict stability and degradation patterns over time. The aim of this is to assess the shelf life and quality under harsher conditions, providing crucial insights into their long-term stability and potential storage issues. This study explores the potential of transferring this approach to food matrices for shelf-life estimation. Therefore, hazelnuts were stored under accelerated short-term and realistic long-term conditions. Subsequently, they were analyzed with high resolution mass spectrometry, focusing on the lipid profile. LC-MS analysis has shown that many unique processes take place under accelerated conditions that do not occur or occur much more slowly under realistic conditions. This mainly involved the degradation of membrane lipids such as phospholipids, ceramides, and digalactosyldiacylglycerides, while oxidation processes occurred at different rates in both conditions. It can be concluded that a food matrix is far too complex and heterogeneous compared to pharmaceuticals, so that many more processes take place during accelerated storage, which is why the results cannot be used to predict molecular changes in hazelnuts stored under realistic conditions.

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