Optimization of Extraction Process of Ginsenoside from Panax quinquefolius L. Collected from Canada by Response Surface Methodology
Bibliographic record
Abstract
The Response Surface Methodology(RSM) was used to optimize the extraction process of ginsenoside from P.quinquefolius L.collected from Canada.Based on one-factor-at-a-time experiments,extract yield of the ginsenoside-Rb1 was used as response for establishing a quadratic regression model.Temperature and time of extraction,ethanol concentration and liquid-to-solid ratio were selected as the factors for RSM design.The results showed that the best extraction conditions were as follows: extraction temperature 90 ℃,extraction time 1.88 h,ethanol concentration 77.4%,solid-liquid ratio 1:25,and extracted times twice,under which the predicted yield of ginsenoside-Rb1 with the optimized procedure was up to 1.40%and practical yield was 1.41%.
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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 | 0.001 |
| 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".