Solid-Phase Extraction Approaches for Improving Oligosaccharide and Small Peptide Identification with Liquid Chromatography-High-Resolution Mass Spectrometry: A Case Study on Proteolyzed Almond Extract.
Yu-Ping HuangRandall C RobinsonFernanda Furlan Goncalves DiasJuliana Maria Leite Nobrega de Moura BellDaniela BarilePublished in: Foods (Basel, Switzerland) (2022)
Reverse-phase solid-phase extraction (SPE) is regularly used for separating and purifying food-derived oligosaccharides and peptides prior to liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. However, the diversity in physicochemical properties of peptides may prevent the complete separation of the two types of analytes. Peptides present in the oligosaccharide fraction not only interfere with glycomics analysis but also escape peptidomics analysis. This work evaluated different SPE approaches for improving LC-MS/MS analysis of both oligosaccharides and peptides through testing on peptide standards and a food sample of commercial interest (proteolyzed almond extract). Compared with conventional reverse-phase SPE, mixed-mode SPE (reverse-phase/strong cation exchange) was more effective in retaining small/hydrophilic peptides and capturing them in the high-organic fraction and thus allowed the identification of more oligosaccharides and dipeptides in the proteolyzed almond extract, with satisfactory MS/MS confirmation. Overall, mixed-mode SPE emerged as the ideal method for simultaneously improving the identification of food-derived oligosaccharides and small peptides using LC-MS/MS analysis.
Keyphrases
- solid phase extraction
- liquid chromatography
- liquid chromatography tandem mass spectrometry
- ms ms
- high resolution mass spectrometry
- tandem mass spectrometry
- high performance liquid chromatography
- simultaneous determination
- molecularly imprinted
- mass spectrometry
- ultra high performance liquid chromatography
- gas chromatography mass spectrometry
- gas chromatography
- oxidative stress
- amino acid
- data analysis
- bioinformatics analysis