Back

Targeted hydrolysis of native potato protein: A novel route for obtaining hydrolysates with improved interfacial properties

Gregersen Echers, S.; Jafarpour, A.; Yesiltas, B.; Garcia-Moreno, P. J.; Greve-Poulsen, M.; Hansen, D.; Jacobsen, C.; Overgaard, M. T.; Hansen, E. B.

2022-05-25 biochemistry
10.1101/2022.05.25.493405 bioRxiv
Show abstract

Peptides and protein hydrolysates are promising alternatives to substitute chemical additives as functional food ingredients. In this study, we present a novel approach for producing a potato protein hydrolysate with improved emulsifying and foaming properties by data-driven, targeted hydrolysis. Based on previous studies, we selected 15 emulsifier peptides derived from abundant potato proteins, which were clustered based on sequence identity. Through in silico analysis, we determined that from a range of industrial proteases (Neutrase (Neut), Alcalase (Alc), Flavorzyme (Flav) and Trypsin (Tryp)), Tryp was found more likely to release peptides resembling the target peptides. After applying all proteases individually, hydrolysates were assayed for in vitro emulsifying and foaming properties. No direct correlation between degree of hydrolysis and interfacial properties was found. Tryp produced a hydrolysate (DH=5.4%) with the highest (P<0.05) emulsifying and foaming abilities, good stabilities, and high aqueous solubility. Using LC-MS/MS, we identified >10,000 peptides in each hydrolysate. Through peptide mapping, we show that random overlapping with known peptide emulsifiers is not sufficient to quantitatively describe hydrolysate functionality. While Neut hydrolysates had the highest proportion of peptides with target overlap, they showed inferior interfacial activity. In contrast, Tryp was able to release specifically targeted peptides, explaining the high surface activity observed. While modest yields and residual unhydrolyzed protein indicate room for process improvement, this work shows that data-driven, targeted hydrolysis is a viable, interdisciplinary approach to facilitate hydrolysis design for production of functional hydrolysates from alternative protein sources.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Food Chemistry
13 papers in training set
Top 0.1%
37.4%
2
PLOS ONE
5266 papers in training set
Top 24%
7.0%
3
International Journal of Biological Macromolecules
76 papers in training set
Top 0.3%
4.5%
4
Frontiers in Plant Science
256 papers in training set
Top 2%
3.3%
50% of probability mass above
5
International Journal of Molecular Sciences
494 papers in training set
Top 5%
2.5%
6
Applied Microbiology and Biotechnology
32 papers in training set
Top 0.3%
2.5%
7
Scientific Reports
3612 papers in training set
Top 50%
2.0%
8
Protein Science
246 papers in training set
Top 2%
2.0%
9
Journal of Proteome Research
234 papers in training set
Top 1%
1.8%
10
Biomolecules
100 papers in training set
Top 0.9%
1.8%
11
Molecules
39 papers in training set
Top 0.8%
1.4%
12
Chemical Communications
25 papers in training set
Top 0.3%
1.2%
13
Algal Research
21 papers in training set
Top 0.2%
1.2%
14
The Plant Journal
215 papers in training set
Top 3%
1.2%
15
Peer Community Journal
281 papers in training set
Top 4%
1.1%
16
Journal of Proteomics
28 papers in training set
Top 0.4%
1.1%
17
Analytical Biochemistry
26 papers in training set
Top 0.4%
1.0%
18
New Biotechnology
12 papers in training set
Top 0.2%
0.9%
19
Frontiers in Chemistry
16 papers in training set
Top 0.3%
0.9%
20
Pharmaceutics
24 papers in training set
Top 0.6%
0.9%
21
Communications Chemistry
48 papers in training set
Top 1%
0.9%
22
Food & Function
13 papers in training set
Top 0.4%
0.6%
23
Agronomy
18 papers in training set
Top 0.7%
0.6%
24
Analytical and Bioanalytical Chemistry
18 papers in training set
Top 0.4%
0.6%
25
Journal of the American Society for Mass Spectrometry
37 papers in training set
Top 0.6%
0.5%
26
Bioresource Technology
12 papers in training set
Top 0.4%
0.5%
27
PeerJ
308 papers in training set
Top 14%
0.5%
28
Journal of Agricultural and Food Chemistry
15 papers in training set
Top 0.8%
0.5%
29
Molecular & Cellular Proteomics
158 papers in training set
Top 2%
0.5%
30
Computational and Structural Biotechnology Journal
242 papers in training set
Top 9%
0.5%