Researches on Purification Technologic Conditions of Lespedeza dunnii Flavonoids with AB-8 Macroporous Resin and Comparision of their Purification Antioxidant Changes before and after Being Purified
Bibliographic record
Abstract
Objective: To study the conditions and parameters of purifying total flavonoids from L.dunnii with AB-8 macroporous resin and to compare with antioxidant ability before and after being purified.Method:Some factors which effected purification in static and dynamic adsorptions were studied.Furthermore,the antioxidant ability were also determined.Result:The concentration of the sample solution was 0.3 mg/mL.In static adsorption,the effects were preferable when temperature was at 20～40 ℃ and pH value was 4～5 and using 70% ethanol as desorption reagent. In dynamic adsorption,pH value of sample solution was 4～5 and flowing rate of loading was 0.5～1.0 mL/min. Using 70%～90% ethanol and 0.5～1.5 mL/min flow rate,the eluting effect was good.The clearance rates of 0.12 mg/mL refined flavonoid powder and crude flavonoid powder were 78.43% and 29.25% respectively.The inhibitory rates to pyrogallol autoxidation of 0.375 mg/mL crude flavonoid powde and refined flavonoid powder were 98.49% and 63.02% respectively.Conclusion:AB-8 macroporous resin had an excellent purification effect to crude flavonoid of Lespeda dunnii.The purity and antioxidant abbility were improved remarkably.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".