Application of the UHPLC-DIA-HRMS Method for Determination of Cheese Peptides
| Autor: | Zanda Daneberga, Sakari Joenväärä, Dmitri Pismennoi, Svetlana Vorslova, Georg Arju, Raivo Vilu, Risto Renkonen, Taivo Lints, Anastassia Taivosalo |
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| Přispěvatelé: | HUSLAB, Department of Bacteriology and Immunology, Infection Biology Research Program, Risto Renkonen / Principal Investigator, Transplantation Laboratory, University of Helsinki, Helsinki University Hospital Area |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Health (social science)
cheese peptidomics Plant Science lcsh:Chemical technology Mass spectrometry PROFILE 01 natural sciences Health Professions (miscellaneous) Microbiology Article Bioactive peptide 0404 agricultural biotechnology MILK data-independent acquisition lcsh:TP1-1185 Data-independent acquisition Cheesemaking PROTEOLYSIS dairy product analysis Chromatography Milk protein IDENTIFICATION Chemistry ORIGIN Peptide mapping 010401 analytical chemistry cheesemaking PRATO CHEESE 04 agricultural and veterinary sciences 040401 food science Mass spectrometric 0104 chemical sciences BIOACTIVE PEPTIDE 416 Food Science Food Science |
| Zdroj: | Foods Volume 9 Issue 8 Foods, Vol 9, Iss 979, p 979 (2020) |
| Popis: | Until now, cheese peptidomics approaches have been criticised for their lower throughput. Namely, analytical gradients that are most commonly used for mass spectrometric detection are usually over 60 or even 120 min. We developed a cheese peptide mapping method using nano ultra-high-performance chromatography data-independent acquisition high-resolution mass spectrometry (nanoUHPLC-DIA-HRMS) with a chromatographic gradient of 40 min. The 40 min gradient did not show any sign of compromise in milk protein coverage compared to 60 and 120 min methods, providing the next step towards achieving higher-throughput analysis. Top 150 most abundant peptides passing selection criteria across all samples were cross-referenced with work from other publications and a good correlation between the results was found. To achieve even faster sample turnaround enhanced DIA methods should be considered for future peptidomics applications. |
| Databáze: | OpenAIRE |
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