Perah oil: a potential substitute for omega-3 oils and its chemical properties
Bibliographic record
Abstract
Abstract: The perah seed oil is a potential source for high unsaturated and omega 3 oil. It can be an alternative choice for regular vegetable oil. The chemical and physical properties need to be investigated and evaluated for it to be used feasibly in the food industries and health care products. Modern day’s faster and sophisticated instruments and techniques are used to evaluate the physicochemical properties of edible or vegetable oils. This study includes FTIR spectroscopy GC-MS and GC to evaluate the chemical properties of it while colour was used to study the physical property. The peaks by FTIR were found at 3300-3000 cm -1 , 2960‐2850 cm -1 , 1760‐1670 cm -1 , 1650‐1580 cm -1 , and 1340‐1020 cm -1 . The GC-MS discover the potential beneficial compounds that available in extracted perah oil which are squalene, Vitamin E,and L.beta.-sitosterol. The GC data demonstrate about the free fatty acid profile which showed the high unsaturation in all oil samples extracted by different solvents. However, the colour measure for the visual suitable acceptability use for food or cosmetic application.
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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) | 0.004 | 0.001 |
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".