Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jafarpour, Ali, Gregersen, Simon, Marciel Gomes, Rocio, Marcatili, Paolo, Hegelund Olsen, Tobias, Jacobsen, Charlotte, Overgaard, Michael Toft, Sørensen, Ann-Dorit Moltke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759894/
https://www.ncbi.nlm.nih.gov/pubmed/33260992
http://dx.doi.org/10.3390/md18120599
_version_ 1783627204674977792
author Jafarpour, Ali
Gregersen, Simon
Marciel Gomes, Rocio
Marcatili, Paolo
Hegelund Olsen, Tobias
Jacobsen, Charlotte
Overgaard, Michael Toft
Sørensen, Ann-Dorit Moltke
author_facet Jafarpour, Ali
Gregersen, Simon
Marciel Gomes, Rocio
Marcatili, Paolo
Hegelund Olsen, Tobias
Jacobsen, Charlotte
Overgaard, Michael Toft
Sørensen, Ann-Dorit Moltke
author_sort Jafarpour, Ali
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7759894
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77598942020-12-26 Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction Jafarpour, Ali Gregersen, Simon Marciel Gomes, Rocio Marcatili, Paolo Hegelund Olsen, Tobias Jacobsen, Charlotte Overgaard, Michael Toft Sørensen, Ann-Dorit Moltke Mar Drugs Article 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. MDPI 2020-11-27 /pmc/articles/PMC7759894/ /pubmed/33260992 http://dx.doi.org/10.3390/md18120599 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jafarpour, Ali
Gregersen, Simon
Marciel Gomes, Rocio
Marcatili, Paolo
Hegelund Olsen, Tobias
Jacobsen, Charlotte
Overgaard, Michael Toft
Sørensen, Ann-Dorit Moltke
Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
title Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
title_full Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
title_fullStr Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
title_full_unstemmed Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
title_short Biofunctionality of Enzymatically Derived Peptides from Codfish (Gadus morhua) Frame: Bulk In Vitro Properties, Quantitative Proteomics, and Bioinformatic Prediction
title_sort biofunctionality of enzymatically derived peptides from codfish (gadus morhua) frame: bulk in vitro properties, quantitative proteomics, and bioinformatic prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759894/
https://www.ncbi.nlm.nih.gov/pubmed/33260992
http://dx.doi.org/10.3390/md18120599
work_keys_str_mv AT jafarpourali biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT gregersensimon biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT marcielgomesrocio biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT marcatilipaolo biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT hegelundolsentobias biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT jacobsencharlotte biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT overgaardmichaeltoft biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction
AT sørensenanndoritmoltke biofunctionalityofenzymaticallyderivedpeptidesfromcodfishgadusmorhuaframebulkinvitropropertiesquantitativeproteomicsandbioinformaticprediction