A Comparative HPLC Analysis of Myricetin, Quercetin and Kaempferol Flavonoids Isolated From Gambian and Indian Moringa oleifera Leaves
Bibliographic record
Abstract
Moringa oleifera has been used for centuries as a traditional medicine in a number of sub-tropical countries. Recent studies have found it to be rich in flavonoids that exhibit antioxidant activity both in vitro and in vivo. In this study slightly modified conditions were examined in order to maximise the yield of these compounds in particular; Myricetin, Quercetin and Kaempferol. Quantitative analysis of these flavonoids were established using reverse phase ion-pairing High Performance Liquid Chromatography (HPLC) at a wavelength of 370 nm. The method development was carried out following the International Conference for Harmonization guidelines. It was found that refluxing with 0.10 M hydrochloric acid for 24 hour provided high yields of the flavonols (myricetin 292 mg/kg, quercetin 1099 mg/kg and kaempferol 133 mg/kg). There was a significant difference in the yield of these flavonols originating from the different geographical locations, with Community Forest Management Farm (CFM Farm) yielding the highest quantity of the flavonols under the conditions applied.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".