Novel marine bioactives: application in functional foods, nutraceuticals, and pharmaceuticals
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
Functional food, nutraceutical, and pharmaceutical applications of natural products have gained growing attention as there is increasingly awareness of the association between bioactive compounds and improved health. Recently, food and biomedical scientists have focused more on marine resources to isolate bioactives since the marine ecosystem comprises unexploited resources with a wide range of organisms. Marine species produce a wide range of natural products, such as polysaccharides, peptides, polyunsaturated lipids, phenolic compounds, and pigments, with unique structures and diverse biological activities due to their extreme living environments. These active molecules reduce the risk of chronic disease and improve health by exhibiting antioxidant, anticancer, anti-inflammatory, antimicrobial, antidiabetic, anti-obesity, antihypertensive, cardioprotective, and neuroprotective activities. This review summarizes the recent discoveries of bioactive compounds from marine invertebrates (sponges, cnidarians, echinoderms, molluscs, ascidians, and crustaceans), fishes, seaweeds, and marine microorganisms and their potential for functional foods, nutraceuticals, and pharmaceuticals applications.
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 | 0.001 | 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