Effects of solubility of Supercritical-CO2 solvent and mass transfer property on extraction of vitamin E from canola seeds
Bibliographic record
Abstract
This study is to explore the solubility of the targeted Vitamin E from canola seeds in supercritical-CO2 (SC-CO2)solvent and their intricate relationship through the developed modelling approach. The study investigated the impact of pressure and temperature on the efficiency of Vitamin E extraction through the regulation of Vitamin E solubility and yield in SC-CO2 solvent. These parameters played a crucial role in determining extraction efficiency. Pressures enhanced the solubility and density of Vitamin E, while elevated temperatures facilitated total Vitamin E extraction yield by promoting solvent diffusion and mass transfer through viscosity reduction. The optimal separation process of Vitamin E was achieved at 75ׄ°C, 18MPa. The Vitamin E concentration in extracted oil is 12 times higher than Vitamin E contents in regular canola seed oil. The mathematical modeling revealed fundamental mechanisms governing the extraction process and offers useful information for optimizing extraction protocols in industrial applications.
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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".