Wet and dry extraction of coconut oil: impact on lipid metabolic and antioxidant status in cholesterol coadministered rats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Because coconut oil extracted by wet process (virgin coconut oil, VCO) is gaining popularity among consumers, this study was conducted to evaluate VCO compared with coconut oil extracted by dry process (copra oil, CO) for their influence on lipid parameters, lipid peroxidation, and antioxidant status in rats coadministered with cholesterol. VCO, CO, and cholesterol were fed in a semi-synthetic diet to 24 male Sprague-Dawley rats for 45 days. After the experimental period, lipid and lipid peroxide levels and antioxidant enzyme activities were observed. Chemical composition and antioxidant properties of the polyphenolic fraction from VCO and CO were also analyzed. The results showed that lipid and lipid peroxide levels were lower in VCO-fed animals than in animals fed either CO or cholesterol alone. Antioxidant enzyme activities in VCO-fed animals were comparable with those in control animals. Although the fatty acid profiles of both oils were similar, a significantly higher level of unsaponifiable components was observed in VCO. Polyphenols from VCO also showed significant radical-scavenging activity compared with those from CO. This study clearly indicates the potential benefits of VCO over CO in maintaining lipid metabolism and antioxidant status. These effects may be attributed in part to the presence of biologically active minor unsaponifiable components.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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