Identification and quantitative determination of the flavonoids of the complex dense extract of st. john's wort herb and pot marigold flowers
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Bibliographic record
Abstract
Common Saint-John's wort (Hypericum perforatum) and pot marigold (Calendula officinalis) are rich in such biologically active substances (BAS) as carotene, ascorbic acid, essential oils, vitamins, tannin and resinous substances, as well as flavonoids that bear evident wound healing properties and antiulcerous properties.
 The object of this study was BAR composition of the complex dense herb extract of St. John's wort and flowers of marigolds (1:10). In order to introduce a new herbal substance into medical practice, it is necessary to develop methods for its identification and quantification.
 The TLC [thin layer chromatography] method was used to identify the BAR in the extract under study, and the method of absorption spectrophotometry was proposed for quantification of the content of flavonoids.
 As a result of the conducted research, there were selected characteristic substances - identification markers of the extract, the choice of which was in accordance with the requirements of the SPF on the quality of the herb of St. John's wort and the flowers of pot marigold, and there was indicated the position and coloring of the zones in the chromatographic profile of the tested extract solution. Such approach will enable objective identification of the extract as a substance and as an active pharmaceutical ingredient in the formulation.
 The criterion for quantitative standardization of the complex dense extract is the content of the amount of flavonoids not less than 1.5% in terms of hyperoside and dry substance.
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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 | 0.001 |
| 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 it