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HILIC-DIA-MS enabled analysis of polar peptides in foods

Two scientists in white lab coats examining a tray of food samples in a modern analytical laboratory, with one scientist pouring liquid from a green container onto the samples while both focus intently on the work.
Research area:ChromatographyAnalytical Chemistry and ChromatographyMass spectrometry

What the study found

A hydrophilic interaction liquid chromatography-data-independent acquisition mass spectrometry (HILIC-DIA-MS) workflow was developed for analyzing polar peptides in foods. The study found that this approach could combine targeted semi-quantification of polar peptides with untargeted profiling of peptides and other polar compounds.

Why the authors say this matters

The authors conclude that the workflow is suitable for comprehensive characterization of polar compounds in food systems. They also indicate that it can help analyze short polar peptides that are difficult to retain on reversed-phase columns, which are chromatography columns commonly used to separate compounds.

What the researchers tested

The researchers developed a workflow using a zwitterionic HILIC column and data-independent acquisition mass spectrometry (DIA-MS), a method that collects fragmentation data across mass windows. They tested high-resolution MS1 scans, fast MS2 scans, and 15 m/z DIA windows, and applied the method to food matrices including soy sauce, yeast extract, cheese, ham, and extracts from dried food ingredients.

What worked and what didn't

The workflow was reported to be reproducible and sensitive, with retrospective data processing enabled by DIA-MS. It produced highly repeatable and selective LC-MS profiles, could differentiate structural isomers such as alpha-glutamyl and gamma-glutamyl compounds, and showed low detection limits of 0.1-0.9 µM, good intra-day and inter-day precision, and 96% recovery in commercial soy sauce and yeast extract.

What to keep in mind

The abstract does not describe major limitations beyond the scope of the tested food matrices. The validation details given are tied to taste-relevant dipeptides and the specific samples named in the study.

Key points

  • The study developed a HILIC-DIA-MS workflow for polar peptides in foods.
  • It combined targeted semi-quantification with untargeted profiling of peptides and other polar compounds.
  • The method was reported to distinguish alpha-glutamyl and gamma-glutamyl structural isomers.
  • Validation showed detection limits of 0.1-0.9 µM, good precision, and 96% recovery in soy sauce and yeast extract.
  • The workflow was applied to cheese, ham, and dried food ingredient extracts.

Disclosure

Research title:
HILIC-DIA-MS enabled analysis of polar peptides in foods
Authors:
Boudewijn Hollebrands, Germaine Thong, H JANSSEN
Institutions:
Unilever Foods Innovation Centre, Wageningen University & Research
Publication date:
2026-01-28
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.