Activities per year
Project Details
Description
Potatoes are among the most important crops globally, and in spite of the modest protein content (1-3% w/w), around 200,000 tons of potato protein is produced globally each year. Due to the high abundance of specific proteins types in potatoes, they have a large unused potential for extraction of bioactive peptides for use as additives in food. Natural and plant-based bioactive peptide alternatives have the potential to replace chemical additives used presently. By using protein-based additives, it is possible to both extend the digestive durability of foods and improve the nutritional profile.
Recently, we identified a number of peptides derived from potato proteins with an exceptional potential as e.g. emulsifiers (two manuscripts attached). Although mass spectrometry (MS) can be used to quantify proteins in a complex mixture, the quantitative information on the peptide-level is sparse. Consequently, it is challenging to determine the content quantitatively and thereby qualitatively estimate the financial potential in extracting particularly bioactive peptides.
We aim to develop a simple and universal method to quantify peptides in a highly complex mixture without the need of expensive and tedious processing. The method will be used to evaluate the unused potential of bioactive food peptides in potato protein but will also be applicable for other protein rich side stream in the food industry (and much more).
Recently, we identified a number of peptides derived from potato proteins with an exceptional potential as e.g. emulsifiers (two manuscripts attached). Although mass spectrometry (MS) can be used to quantify proteins in a complex mixture, the quantitative information on the peptide-level is sparse. Consequently, it is challenging to determine the content quantitatively and thereby qualitatively estimate the financial potential in extracting particularly bioactive peptides.
We aim to develop a simple and universal method to quantify peptides in a highly complex mixture without the need of expensive and tedious processing. The method will be used to evaluate the unused potential of bioactive food peptides in potato protein but will also be applicable for other protein rich side stream in the food industry (and much more).
Acronym | Q-BIOPEP |
---|---|
Status | Active |
Effective start/end date | 15/06/2021 → 14/06/2024 |
Collaborative partners
- AKV Langholt (Project partner)
Funding
- Karl Pedersen og Hustrus Industrifond: DKK2,200,000.00
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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Activities
- 1 Peer review of manuscripts
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Food Hydrocolloids (Journal)
Simon Gregersen (Peer reviewer) & Naim Abdul Khalek Gharzeddine (Peer reviewer)
4 Jan 2022Activity: Editorial work and peer review › Peer review of manuscripts › Research
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
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Decoding the Impact of Neighboring Amino Acid on ESI-MS Intensity Output through Deep Learning
Abdul-Khalek, N., Wimmer, R., Overgaard, M. T. & Echers, S. G., 6 Feb 2024, bioRxiv.Research output: Working paper/Preprint › Preprint
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Insight on Physicochemical Properties Governing Peptide MS1 Response in HPLC-ESI-MS/MS: A Deep Learning Approach
Abdul-Khalek, N., Wimmer, R., Overgaard, M. T. & Echers, S. G., 27 Jul 2023, In: Computational and Structural Biotechnology Journal. 21, p. 3715-3727 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)34 Downloads (Pure) -
Insight on physicochemical properties governing peptide MS1 response in HPLC-ESI-MS/MS proteomics: A deep learning approach
Khalek, N. A., Wimmer, R., Overgaard, M. T. & Echers, S. G., 13 Feb 2023, bioRxiv, 32 p.Research output: Working paper/Preprint › Preprint
Open Access