Enzymatic bioactive peptides from sonicated whey proteins of camel milk: Impacts of nanopeptides on structural properties, antioxidant activity and inhibitory activity of alpha‐amylase and <scp>ACE</scp>
Bibliographic record
Abstract
This study was carried out to investigate the biological properties of bioactive peptides derived from digestive enzymatic hydrolysis for nanoscaled protein particles from camel whey proteins. The hydrolysates were tested for aromatic content, antioxidant activity, α‐amylase inhibitory and angiotensin‐converting enzyme (ACE) activities. The sonicated camel whey protein particles showed sizes less than 100 nm and were distributed in a 75% volume with a relatively stable −23.1 mV zeta potential value. Sonication enhanced the total aromatic ring content in the hydrolysates generated by combined trypsin and chymotrypsin treatment. A decrease in antioxidant activity was shown following trypsin and chymotrypsin hydrolysis that was inhibited by whey protein sonication. Pepsin hydrolysis improved aromatic content, ACE and α‐amylase inhibitory activities, and antioxidant activity. An increase in antioxidant activity of the pepsin‐derived hydrolysates was seen with sonicated whey proteins. Overall, the findings demonstrate the utility of the application of enzymatic hydrolysis and/or ultrasonication of camel whey proteins to enhance their antioxidant, anti‐hypertensive and anti‐diabetic properties.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".