Great potential of flaxseed mucilage
Bibliographic record
Abstract
Abstract Mucilage is one of the key components of flaxseed (which is also called linseed), and exhibits unique functional properties such as high water-holding capacity, and foamability. As a result, flaxseed mucilage has applications in food, agriculture, medicine and other industries. The composition and functional properties of mucilage vary between genotypes. To explore this variation, we characterized the mucilage of nine diverse varieties of flaxseed according a range of parameters including: morphology, mucilage content, fibre content, minerals, phenolic acids, polyphenols, antimicrobial activity, and antioxidant activity. We found significant differences between the genotypes in almost all of the parameters tested. Furthermore, we found a strong correlation between several of these parameters, including antioxidant activity, hydroxycinnamic acid, and sugar content. Antimicrobial activity against Gram positive bacteria was correlated with fibre content and potassium content, while chlorogenic acid content was correlated with suppression of Gram negative bacteria. These results provide a framework for crop improvement further development of functional and value-added products from flaxseed.
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.
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 | 0.001 | 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".