- Research Article
- 10.1016/j.foodres.2026.118496
Identification of antihypertensive, antidiabetic, and antioxidant peptides derived from hydrolysates of dairy white wastewaters containing milk proteins using machine learning insights.
- Apr 01, 2026
- Food research international (Ottawa, Ont.)
- Diala Damen + 8 more +8
Dairy white wastewater (WW), a by-product of industrial cleaning processes, contains residual milk proteins that can be enzymatically converted into bioactive peptides. In this study, WW proteins were hydrolyzed using four enzymes, pepsin, trypsin, thermolysin, and pronase E, for up to 240min, and the resulting hydrolysates were evaluated for ACE inhibition, DPP-IV inhibition, and antioxidant capacity. Thermolysin hydrolysates exhibited the strongest ACE inhibition, with IC50 values as low as 21.0μg protein/mL, whereas pepsin and pronase E hydrolysates showed DPP-IV inhibitory activities with IC50 values of 2.4-3.1mg protein/mL. Pepsin hydrolysates presented the highest antioxidant capacity, reaching 3.5μM Trolox equivalents/mg protein. LC-MS/MS analysis combined with multivariate statistics identified 60 discriminant peptides, including 17 peptides previously reported to possess antihypertensive, antidiabetic, and/or antioxidant bioactivities. Based on a combination of PLS-DA loadings, QSAR scores, novelty relative to known bioactive peptides and physicochemical diversity, 20 peptides were synthesized and validated experimentally. Several peptides such as LRF, QW, GAWY, PPF, GPIVL, and SFNPTQL exhibited potent inhibitory effects, with micromolar IC50 values for ACE and/or DPP-IV. In comparison to chemically synthesized ACE inhibitors like captopril, the most potent peptide, LRF, is five times more active on a molar basis (11.34μM vs 63.06μM). These findings demonstrate that WW is a promising source of multifunctional peptides and that integrating peptidomics with machine learning accelerates peptide discovery and validation.
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