Solvent extraction of Triadica sebifera seed oil: Yield, lipid composition, and antioxidant properties
Bibliographic record
Abstract
This research examines the impact of different solvents on the chemical composition of oil extracted from Triadica sebifera (a.k.a. Sapium sebiferum ) seed, a plant common in China and America. Eight solvents were used, including n-hexane, petroleum ether, diethyl ether, ethyl acetate, ethanol, “Folch” solution (chloroform/methanol, v: v = 2: 1), isopropanol, and acetone. Petroleum ether provided the highest oil yield at 34.3%, while n-hexane extracted oil with the highest unsaturated fatty acids at 89.47%. Ethanol-extracted oil contained the most bioactive substances, including tocopherols (642.7 mg/kg), sterols (1043.7 mg/kg), and polyphenols (55.4 mg/kg), also exhibiting strong antioxidant capacity. Regression analysis showed positive correlations between antioxidant capacity and bioactive compounds like polyphenols and certain sterols, while saturated fatty acids correlated negatively. Principal component analysis highlighted ethanol as a promising solvent. The findings suggest that Triadica sebifera seed oil, particularly when extracted using ethanol, offers valuable applications for integrating natural ingredients with health benefits into various products. • Petroleum ether yielded 34.3% oil, the highest among solvents. • N-hexane oil had 89.47% unsaturated fatty acids, the highest. • Ethanol-extracted oil had the most tocopherols (642.7 mg/kg). • Ethanol oil showed high levels of sterols and polyphenols. • Antioxidant capacity linked to polyphenols and sterols.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".