COMPONENT COMPOSITION, ANTIRADICAL AND ANTIMICROBIAL ACTIVITY OF EXTRACTS OF ST. JOHN'S WORT OF THE KRASNOYARSK TERRITORY
Bibliographic record
Abstract
The component composition of aqueous-alcoholic extracts of the above-ground part of St. John's wort grown in the Krasnoyarsk Territory was studied using high-performance liquid chromatography. The highest amount of all compounds was determined in the extract on 40% ethyl alcohol. In combination with the thin-layer chromatography method, the presence of one compound from the group of condensed anthraquinone derivatives, hypericin, was established. The total content of phenolic compounds, the content of flavonoids and tannins in the extracts were determined. The antiradical and antimicrobial activity of the extracts was studied. The maximum value of antiradical activity (100%) was registered for the extract on 40% ethyl alcohol. Extracts prepared in the ratio of raw material : extractant 1 : 100 did not show antimicrobial activity against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa and Candida albicans. Extracts prepared in a raw material : extractant ratio of 1 : 1 showed some antimicrobial activity only against Staphylococcus aureus (MSSA) and (MRSA).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".