Study on optimization of carotenoids complex-enzyme extraction and purification from Hippophae rhamnoides
Bibliographic record
Abstract
The optimum conditions of complex enzyme extraction and purification of carotenoids from Hippophae rhamnoides were researched in this paper.The results showed the optimum conditions of complex exzyme extraction were: cellulose: pectinase 2∶1(g∶g),30 ℃,25 min,enzyme addition 0.20%,pH7,under this conditions the extraction ratio was 89.88%.Then the thick extraction was purified by ways of saponification and silica gel column chromatography.The experiments showed that the optimized conditions of saponification could be obtained as following: 5% KOH alcohol liquor,room temperature(20 ℃),1.5 h,under this conditions the content of carotenoids was enhanced from 23.08% to 69.53%,and the yield was 82.34%.Carotenoids could be further purified by Silica gel column chromatography,the optimum conditions were: gradient elution of sherwood oil and acetone,eluting velocity 10.0 mL/min.The content of cartenoids could be sublimated from 69.53% to 84.36%,and the yield was 61.93%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".