Food-derived peptidic antioxidants: A review of their production, assessment, and potential applications
Bibliographic record
Abstract
Antioxidant properties of food-derived peptides have been described in an increasing number of studies in recent years. Consequently, these peptides are being considered as potential sources to control various oxidative processes in the human body as well as in food. It is however difficult to compare results from various studies due to the diversity of in vitro assay systems and inconsistency in the conditions used to evaluate antioxidative capacity of peptides and protein hydrolysates. Further, specific assays and biomarkers are yet to be established to confirm their bioactive potential. This review summarizes the literature on food sources and methods of antioxidative peptide production, and the reported efficacies and mechanisms of their action. Furthermore, it presents a critical evaluation of methods used for assessing antioxidative activity of peptides. Examples of promising applications of these peptides in food, nutraceuticals and cosmeceuticals are also discussed with an insight to the future research needs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".