Projects per year
Abstract
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.
Original language | English |
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Article number | 130217 |
Journal | Food Chemistry |
Volume | 362 |
Number of pages | 12 |
ISSN | 0308-8146 |
DOIs | |
Publication status | Published - 15 Nov 2021 |
Bibliographical note
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.Keywords
- Bioinformatic prediction
- Emulsion physical stability
- Food bioactive peptides
- Interfacial properties
- Quantitative proteomics
- Secondary structure
Fingerprint
Dive into the research topics of 'Emulsifier peptides derived from seaweed, methanotrophic bacteria, and potato proteins identified by quantitative proteomics and bioinformatics'. Together they form a unique fingerprint.Projects
- 1 Finished
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PROVIDE: Protein valorization through informatics, hydrolysis, and separation
Gregersen, S., Overgaard, M. T., Hansen, E. B., Bang-Berthelsen, I., Jacobsen, C., García Moreno, P. J., Marcatili, P. & Yesiltas, B.
01/09/2017 → 30/12/2022
Project: Research
Activities
- 1 Conference presentations
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Microbial proteins: Moving from feed to food applications aided by proteomics and bioinformatics
Simon Gregersen (Lecturer)
18 Nov 2021Activity: Talks and presentations › Conference presentations
Research output
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Applying Quantitative Proteomics for Evaluation of Protein Quality, Nutritional Value, and Extraction Methods in Side-Streams of Industrial Carrageenan Production from the Red Seaweed Eucheuma denticulatum (Spinosum)
Gregersen Echers, S., Yesiltas, B., García Moreno, P. J., Naseri, A., Holdt, S. L., Jacobsen, C., Hansen, E. B., Marcatili, P. & Overgaard, M. T., 1 Oct 2021.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review
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Microbial proteins: Moving from feed to food applications aided by proteomics and bioinformatics
Gregersen Echers, S., Yesiltas, B., García Moreno, P. J., Hegelund Olsen, T., Marcatili, P., Jacobsen, C., Hansen, E. B., Ntokou, E., Christensen, I. & Overgaard, M. T., 1 Oct 2021.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review
Open AccessFile -
The structure, viscoelasticity and charge of potato peptides adsorbed at the oil-water interface determine the physicochemical stability of fish oil-in-water emulsions
García Moreno, P. J., Yang, J., Gregersen Echers, S., Jones, N. C., Berton-Carabin, C. C., Sagis, L. M. C., Hoffmann, S. V., Marcatili, P., Overgaard, M. T., Hansen, E. B. & Jacobsen, C., Jun 2021, In: Food Hydrocolloids. 115, 13 p., 106605.Research output: Contribution to journal › Journal article › Research › peer-review
37 Citations (Scopus)
Datasets
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Methonotrophic Biomass Quant BUP part2
Gregersen, S. (Creator), Mendeley Data, 14 Apr 2021
DOI: 10.17632/76v7mnmyr3.1, https://data.mendeley.com/datasets/76v7mnmyr3
Dataset
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Methonotrophic Biomass Quant BUP
Gregersen, S. (Creator), Mendeley Data, 14 Apr 2021
DOI: 10.17632/g45gbw5r7n.1, https://data.mendeley.com/datasets/g45gbw5r7n
Dataset