期刊
FOOD CHEMISTRY
卷 362, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.130217
关键词
Food bioactive peptides; Quantitative proteomics; Bioinformatic prediction; Secondary structure; Interfacial properties; Emulsion physical stability
资金
- Innovation Fund Denmark [7045-00021B]
The study utilized a bottom-up approach combining proteomics, bioinformatics prediction, and functional validation to identify novel emulsifier peptides from seaweed, methanotrophic bacteria, and potatoes. In vitro validation showed that these peptides could efficiently reduce interfacial tension and create stable emulsions with better properties than traditional emulsifiers. The in silico structure modelling provided further insight on the peptide structure and its emulsifying potential, demonstrating the broad applicability of this approach.
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.
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