Oral collagen-based supplement as a bioactive component in functional foods
Bibliographic record
Abstract
Abstract Collagen, an abundant extracellular matrix protein in food-producing animals, is widely integrated into food systems for its unique physicochemical properties. Oral collagen-based supplements have received increasing attention for their potential to enhance overall well-being. This review aims to provide valuable insights into the application of oral collagen supplements in food systems, promoting their broader use in food processing, preservation, and the development of functional foods. Specifically, the applications of oral collagen-based supplements in functional foods, focusing on their biological activities, health benefits, and functional properties are summarized. Importantly, their molecular mechanisms of biological activities are critically discussed, including antioxidant, angiotensin-converting enzyme inhibitory, and dipeptidyl peptidase IV inhibitory activities. The health benefits of oral collagen-based supplements, particularly in improving skin, immune, and gastrointestinal health are also explored. Additionally, various functional properties of collagen-based supplements are evaluated, including their stability, bioavailability, taste masking, and sensory attributes. Graphical abstract
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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) | 0.001 | 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".