Proximate Composition and Fatty Acids Profile in Oleaginous Seeds
Bibliographic record
Abstract
Fatty acids were quantified in oleaginous seeds: pistachio, almonds, European nuts, cashew nuts, hazelnuts, Brazil nuts, pecan nuts, and macadamia nuts. Three brands of each sample were purchased in three lots (n = 9). The proximate composition, energetic value, and fatty acids (FA) were determined by gas chromatography. All seeds had large amounts of total lipids and the highest contents (ca. 70%) were found in macadamia, pecan, and European nuts. The samples had significant amounts of crude protein. Pistachio and cashew nuts had the greatest amount (ca. 20%), as well as the largest carbohydrate contents (32%). All seeds were rather energetic, ranging from 600 to 760 Kcal.g<sup>-1</sup>. From seven to nine FA were identified and quantified, oleic (n-9) and linoleic (n-6) acids were the major acids. Essential fatty acid a-linolenic (n-3) was found in European nuts (except pistachio) with an n-6/n-3 ratio (4:1) that is very beneficial to health. <em>Trans</em> FA were also observed in salted roasted cashew nuts. The major saturated FA (SFA) was palmitic, stearic, and arachidonic acids, however, their amounts were much lower than those of polyunsaturated acids (PUFA) and monounsaturated acids (MUFA). European nuts had the greatest PUFA/SFA ratio (9), followed by almonds (3.6).
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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 | 0.001 |
| 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".