Emulsifier peptides derived from seaweed, methanotrophic bacteria, and potato proteins identified by quantitative proteomics and bioinformatics

[Display omitted] •A methanotrophic fermentation biomass was characterized by quantitative proteomics.•Emulsifier peptides were predicted from different sustainable protein sources.•Peptides from seaweed, microbial and potato proteins displayed emulsifying activity.•Interfacial conformation, length,...

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Veröffentlicht in:Food chemistry 2021-11, Vol.362, p.130217-130217, Article 130217
Hauptverfasser: Yesiltas, Betül, Gregersen, Simon, Lægsgaard, Linea, Brinch, Maja L., Olsen, Tobias H., Marcatili, Paolo, Overgaard, Michael T., Hansen, Egon B., Jacobsen, Charlotte, García-Moreno, Pedro J.
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Sprache:eng
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Zusammenfassung:[Display omitted] •A methanotrophic fermentation biomass was characterized by quantitative proteomics.•Emulsifier peptides were predicted from different sustainable protein sources.•Peptides from seaweed, microbial and potato proteins displayed emulsifying activity.•Interfacial conformation, length, and amphiphilicity affect emulsion stability.•Peptides showed emulsifying activity comparable to or better than sodium caseinate. Global focus on sustainability has accelerated research into alternative non-animal sources of food protein and functional food ingredients. Amphiphilic peptides represent a class of promising biomolecules to replace chemical emulsifiers in food emulsions. In contrast to traditional trial-and-error enzymatic hydrolysis, this study utilizes a bottom-up approach combining quantitative proteomics, bioinformatics prediction, and functional validation to identify novel emulsifier peptides from seaweed, methanotrophic bacteria, and potatoes. In vitro functional validation reveal that all protein sources contained embedded novel emulsifier peptides comparable to or better than sodium caseinate (CAS). Thus, peptides efficiently reduced oil–water interfacial tension and generated physically stable emulsions with higher net zeta potential and smaller droplet sizes than CAS. In silico structure modelling provided further insight on peptide structure and the link to emulsifying potential. This study clearly demonstrates the potential and broad applicability of the bottom-up approach for identification of abundant and potent emulsifier peptides.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2021.130217