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Journal article

Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction

From

Research Group for Bioactives – Analysis and Application, National Food Institute, Technical University of Denmark1

National Food Institute, Technical University of Denmark2

Aalborg University3

AI for Immunological Molecules, Bioinformatics, Department of Health Technology, Technical University of Denmark4

Bioinformatics, Department of Health Technology, Technical University of Denmark5

Department of Health Technology, Technical University of Denmark6

Protein hydrolysates show great promise as bioactive food and feed ingredients and for valorization of side-streams from e.g., the fish processing industry. We present a novel approach for hydrolysate characterization that utilizes proteomics data for calculation of weighted mean peptide properties (length, molecular weight, and charge) and peptide-level abundance estimation.

Using a novel bioinformatic approach for subsequent prediction of biofunctional properties of identified peptides, we are able to provide an unprecedented, in-depth characterization. The study further characterizes bulk emulsifying, foaming, and in vitro antioxidative properties of enzymatic hydrolysates derived from cod frame by application of Alcalase and Neutrase, individually and sequentially, as well as the influence of heat pre-treatment.

All hydrolysates displayed comparable or higher emulsifying activity and stability than sodium caseinate. Heat-treatment significantly increased stability but showed a negative effect on the activity and degree of hydrolysis. Lower degrees of hydrolysis resulted in significantly higher chelating activity, while the opposite was observed for radical scavenging activity.

Combining peptide abundance with bioinformatic prediction, we identified several peptides that are likely linked to the observed differences in bulk emulsifying properties. The study highlights the prospects of applying proteomics and bioinformatics for hydrolysate characterization and in food protein science.

Language: English
Publisher: MDPI AG
Year: 2020
Pages: 599
ISSN: 16603397
Types: Journal article
DOI: 10.3390/md18120599
ORCIDs: Jafarpour, Ali , 0000-0001-9349-3235 , Olsen, Tobias Hegelund , Jacobsen, Charlotte , 0000-0002-1423-2481 , Marcatili, Paolo and Sørensen, Ann-Dorit Moltke

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