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Abstrakt
In this study, we used a combination of quantitative proteomics and bioinformatic prediction for identifying novel antioxidant peptides. Thirty-five peptides from potato, seaweed, microbial, and spinach proteins were investigated. Based on high DPPH radical scavenging activity (IC50 ≤ 16 mg/mL), metal chelation activity, isoelectric point, and high relative abundance in the parent protein sources, 11 peptides were selected. Lipid oxidation retardation was evaluated in 5% fish oil-in-water emulsions stabilized with Tween 20, where emulsion physical stability was unaffected by peptide addition. The secondary structure of selected peptides was similar in the aqueous solution and emulsions, as confirmed by synchrotron radiation circular dichroism spectroscopy. The emulsions containing the selected peptides had lower levels of hydroperoxides and volatile compounds during storage compared to the control (without peptide). This study contributes to elucidating the effect of antioxidant peptides in emulsions and demonstrates the ability of quantitative proteomics and bioinformatics prediction to identify peptides with strong antioxidant properties.
Originalsprog | Engelsk |
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Artikelnummer | 132699 |
Tidsskrift | Food Chemistry |
Vol/bind | 385 |
Antal sider | 13 |
ISSN | 0308-8146 |
DOI | |
Status | Udgivet - 15 aug. 2022 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Igangværende
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PROVIDE: Protein valorization through informatics, hydrolysis, and separation
Gregersen, S., Overgaard, M. T., Hansen, E. B., Bang-Berthelsen, I., Jacobsen, C., García Moreno, P. J. & Marcatili, P.
01/09/2017 → 30/09/2022
Projekter: Projekt › Forskning
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Bioinformatically Predicted Antioxidant Peptides Derived from Plant, Microbial, and Marine Protein Sources: Effects on the Oxidative Stability of Low Fat Emulsion at pH 4 and Mayonnaise
Yesiltas, B., Sanchez, E. V., García Moreno, P. J., Hegelund Olsen, T., Marcatili, P., Gregersen, S., Hansen, E. B. & Jacobsen, C., 1 sep. 2021.Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review
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AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides
Olsen, T. H., Yesiltas, B., Marin, F. I., Pertseva, M., García-Moreno, P. J., Gregersen, S., Overgaard, M. T., Jacobsen, C., Lund, O., Hansen, E. B. & Marcatili, P., dec. 2020, I: Scientific Reports. 10, 1, 21471.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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