Analysis of benzoic and cinnamic acid derivatives of some medicinal plants in Serbia
Bibliographic record
Abstract
Natural phenolics, which are ubiquitously distributed in plants, have been reported as functional factors in phytotherapy. We have examined phenolic compounds in the leaves and inflorescences of five significant medicinal plants of different plant families: Salvia officinalis (Lamiaceae); Achillea clypeolata (Asteraceae); Nymphaea alba (Nymphaeaceae); Rumex acetosella (Polygonaceae) and Allium ursinum (Alliaceae). The examined species were rich in total phenolics (up to 30.88 mg/g dry weight). According to their total phenolics contents, the plants can be arranged in the following order: A. clypeolata>N. alba>S. officinalis>R. acetosella>A. ursinum. Free phenolics prevailed in all species in comparison to the bound forms (63.72-82.68% of total phenolics). The highest content of total free phenolics was measured in the tissues of A. clypeolata and N. alba, and the lowest in A. ursinum. Five phenolic acids were isolated and measured. p-Coumaric and ferulic acids as derivatives of cinnamic acid prevailed in the leaves of R. acetosella and A. ursinum (up to 4.81%).
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".