Citation
Abstract
The Azolla pinnata fern protein was enzymatically hydrolysed with Alcalase, Flavourzyme, and Papain at varying degrees of hydrolysis (10, 20, and 30%) to generate multi-biologically active protein hydrolysates. The extensively hydrolysed (30%) Alcalase-generated hydrolysate (AFPH-AE) was most active demonstrating antihypertensive (ACE inhibition), antidiabetic (DPP-IV, α-glucosidase, and α-amylase inhibition), and antioxidant (DPPH, ABTS, and FRAP) activities. AFPH-AE exhibited an uncompetitive inhibition mode against ACE and α-glucosidase, a mixed inhibition mode against α-amylase, and a noncompetitive inhibition mode against DPP-IV. This hydrolysate was highly stable under different food processing conditions including pH 5, 7, and 8, NaCl up to 150 mM, and a high temperature of 100 °C. The low molecular weight fraction (< 3 kDa) exhibited high biological activities, and a total of 15 low molecular weight bioactive peptides were identified. Molecular docking revealed that the peptide-enzyme interactions were mainly mediated via hydrogen bonds and hydrophobic interactions. Overall, these findings reveal the potential of AFPH-AE as a functional and/or nutraceutical ingredient with multifunctional antihypertensive, antidiabetic, and antioxidant effects.
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Official URL or Download Paper: https://link.springer.com/article/10.1007/s11947-0...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering Faculty of Food Science and Technology Faculty of Medicine and Health Science |
DOI Number: | https://doi.org/10.1007/s11947-024-03412-1 |
Publisher: | Springer |
Keywords: | Aquatic fern; Functional food; Inhibition kinetic; Molecular docking; Multifunctional peptide; Peptide stability |
Depositing User: | Ms. Che Wa Zakaria |
Date Deposited: | 09 Apr 2025 04:01 |
Last Modified: | 09 Apr 2025 04:01 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11947-024-03412-1 |
URI: | http://psasir.upm.edu.my/id/eprint/116419 |
Statistic Details: | View Download Statistic |
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