Physico-Chemical Characterization and Fatty Acid Profile of the Acrocomia emensis (Arecaceae) Seed Oil
Bibliographic record
Abstract
In Brazil there are several oleaginous plants, with the potential to supply oil as raw material for various types of industries (cosmetic, pharmaceutical, energy, among others), among them we have the Acrocomia emensis (Arecaceae) known as tucum rasteiro. The objective of this work was to realize: extraction of the oil of the almonds using two types of cold mechanical press (walrus type and manual hydraulic type of 15 tons), physical-chemical analyzes (acidity index, peroxides, refraction, moisture and volatile material, ash, viscosity and density at 25 ºC) and fatty acid profile of the oil extracted from almonds of A. emensis from three localities in the northern state of Minas Gerais, Brazil (Bonito de Minas, Brasília de Minas and Montes Claros). The values of the physical-chemical indexes varied among the samples from the different locations. Extraction using walrus type press provided higher yield. The fatty acids of the oils of the three origins were: caprylic, capric, lauric, myristic, palmitic, stearic, oleic and linoleic. The majority in the three samples were the 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".