Effect of Light on Hypericins Contents in Fresh Flowering Top Parts and in an Extract of St. John's Wort (Hypericum perforatum)
Bibliographic record
Abstract
St. John's Wort is a medicinal plant increasingly used for its antidepressive activity. Hypericins are considered as one of the compounds contributing to the activity of the extract. These naphthodianthrones exist in various forms in Hyperici herba. Protopseudohypericin and protohypericin (protopigments) are converted into pseudohypericin and hypericin (pigments) under the action of light. The aim of this work is to study the influence of light on the phototransformation of protopigments into pigments. Two experiments were carried out. The studies were performed on one hand, on plant material in order to know the proportion of these substances in various plant parts and the possibility of transforming the protopigments into pigments under the action of sunlight; on the other hand, in the extract to determine the optimal wavelength allowing this transformation. Three parts of the fresh plant (buds, flowers, leaves) were treated with sunlight on three levels of exposure. Liquid extracts were exposed to various types of light with wavelengths ranging between 480 and 660 nm by means of diodes. The flowering tops of St. John's Wort contain a share of approximately 30% hypericins in the form of protopseudohypericin and protohypericin: buds (48%), flowers (30%), leaves (17%). After an exposure of fresh buds to sunlight for 16 hours the share of protopigments was then 32%. In the extract, the transformation of the protopigments is total and requires less energy than in the plant material. The optimal wavelength for the transformation of the protopigments in the extract is around 515 nm (green), close to the optimum absorption level of protopigments.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".