Thermo-physical Properties and Oxidative Stability of the Oil of Babassu Palm (Attalea vitrivir Zona, Arecaceae)
Bibliographic record
Abstract
Population growth and the concern about its environmental impact have increased the demand for vegetable oils in recent years. Vegetable oils are used in several industry sectors and have been investigated as an alternative energy source to replace traditional fossil fuels. Knowledge of physical and chemical properties is essential to assess the potential use of vegetable oil in the production of biofuels. The present study aimed to determine the oxidative stability of the seed oil of the babassu palm tree, Attalea vitrivir, native to the Brazilian cerrado and originated from two different regions, before and after storage for 12 months. The relative density of the oil did not differ between regions and did not change over time. Kinematic viscosity was lower for area 1 and increased with storage in oils from both areas. The induction period in the Rancimat test was lower in area 2 and decreased in the stored oil, regardless of the area, though it remained higher than the minimum required for its use as biofuel. The evaluation of oxidation by the oven method also showed satisfactory results, confirming the high thermo-oxidative stability of the babassu oil rich in lauric acid.
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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 | 0.001 | 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".