Literature DB >> 33260992

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

Ali Jafarpour1, Simon Gregersen2, Rocio Marciel Gomes1, Paolo Marcatili3, Tobias Hegelund Olsen3, Charlotte Jacobsen1, Michael Toft Overgaard2, Ann-Dorit Moltke Sørensen1.   

Abstract

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.

Entities:  

Keywords:  antioxidative activity; bioactive peptides; bioinformatic prediction; codfish; emulsifying properties; enzymatic hydrolysis; proteomics

Mesh:

Substances:

Year:  2020        PMID: 33260992      PMCID: PMC7759894          DOI: 10.3390/md18120599

Source DB:  PubMed          Journal:  Mar Drugs        ISSN: 1660-3397            Impact factor:   5.118


  53 in total

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Journal:  Nat Methods       Date:  2019-05-27       Impact factor: 28.547

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Journal:  J Phys Chem B       Date:  2020-05-07       Impact factor: 2.991

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Journal:  J Bone Miner Metab       Date:  2015-03-26       Impact factor: 2.626

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Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

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