Profiles of Fatty Acids, Polyphenols, Sterols, and Tocopherols and Scavenging Property of Mediterranean Oils: New Sources of Dietary Nutrients for the Prevention of Age-related Diseases
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Bibliographic record
Abstract
The present study provides the fatty acid, tocopherol, phytosterol, and polyphenol profiles of some Mediterranean oils extracted from pumpkin, melon, and black cumin seed oils and those of dietary argan seed oil. Gas chromatography analysis revealed that oleic and linoleic acids were the most abundant fatty acids. Argan and melon seed oils exhibited the highest levels of oleic acid (47.32±0.02%) and linoleic acid (58.35±0.26%), respectively. In terms of tocopherols, melon seed oil showed the highest amount (652.1±3.26 mg/kg) with a predominance of γ-tocopherol (633.1±18.81 mg/kg). The phytosterol content varied between 2237.00±37.55 µg/g for argan oil to 6995.55±224.01 µg/g for melon seed oil. High Performance Liquid Chromatography analysis also revealed the presence of several polyphenols: vanillin (0.59 mg equivalents Quercetin/100 g) for melon seed oil, and p-hydroxycinnamic acid (0.04 mg equivalents Quercetin/100 g), coumarine (0.05 mg equivalents Quercetin/100 g), and thymoquinone (1.2 mg equivalents Quercetin/100 g) for black cumin seed oil. The "Kit Radicaux Libres" (KRL) assay used to evaluate the scavenging properties of the oils showed that black cumin seed oil was the most efficient. On the light of the richness of all Mediterranean oil samples in bioactive compounds, the seed oils studied can be considered as important sources of nutrients endowed with cytoprotective properties which benefits in preventing age-related diseases which are characterized by an enhanced oxidative stress.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it