4.7 Article

Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions

Journal

FOOD CHEMISTRY
Volume 385, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2022.132699

Keywords

Lipid oxidation; Low fat emulsions; Bioactive peptides; Bioinformatics; Secondary structure; SRCD

Funding

  1. Innovation Fund Denmark [7045-00021B]
  2. ISA, Centre for Storage Ring Facilities in Aarhus, Denmark [ISA-20-1005]

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In this study, a combination of quantitative proteomics and bioinformatic prediction was used to identify novel antioxidant peptides. A total of 35 peptides from different protein sources were investigated, and 11 peptides were selected based on their high antioxidant activity, metal chelation activity, suitable isoelectric point, and relative abundance in the parent proteins. The selected peptides exhibited good antioxidant properties in fish oil-in-water emulsions, reducing levels of hydroperoxides and volatile compounds during storage.
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.

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