Oral collagen-based supplement as a bioactive component in functional foods
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it