Characteristics and antioxidant properties of cold pressed high oleic and linoleic oils from Mexican safflower varieties
Bibliographic record
Abstract
Six cold press oil extracted from high oleic and linoleic Mexican safflower varieties resistant/tolerant to Ramularia carthami were evaluated for their composition, physicochemical characteristics and antioxidant activity. High oleic varieties were rich in oleic (65-78%), linoleic (9-15%), palmitic (2-5%) and stearic (3-5%) acids, whereas high linoleic oils contained 76-79% linoleic, 6-9% oleic, palmitic 6-10% and 3-5% stearic acids. Calculated oxidative stability was highly associated with monounsaturated fatty acid content. High linoleate safflower oils had significantly (p < 0.05) higher b*, ∆E, absorbance (K232 and K272), conjugated diene, triene, peroxide and totox values, total phenolics and ORAC antioxidant activity than high oleate oils. Oil characteristics were strongly correlated with their fatty acid profile, particularly the monounsaturated/polyunsaturated ratio. Total phenolic content was moderately associated with the antioxidant activities of safflower oils (r = 0.714 and 0.540, p < 0.001 for DPPH and ORAC, respectively).
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) | 0.000 | 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 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".