Anti-Bacterial Activity of Extract and the Chemical Composition of Essential Oils in <i>Cirsium arvense</i> from Iran
Bibliographic record
Abstract
Cirsium arvense, known as “Kharlateh” or “Kangar Sahraee” in Iran, is a plant classified as an agricultural weed. Canada thistle is the common name for C. arvense. In this study we investigated the chemical composition of the essential oils in C. arvense using GC/Mass spectroscopy. Each of the aerial parts of the plant flower, leaf and stem was investigated separately. Nineteen compounds were detected in the flower part, accounting for 96.5 % of the total oil. The main compounds are α-bisabolol (17.4 %), hexacosane (12.6 %), δ-cadinene (9.7 %). The leaf oils contained 12 compounds (99.7 % of the total oil), of which the three main compounds were α-bisabolol (34.8 %), δ-cadinene (20.7 %) and β-selinene (15.6 %). Twelve components (96.6 %) were also detected in the stem, including α-bisabolol and δ-cadinene, which account for 45.8 % and 23.8 % respectively. We also studied antibacterial activity C. arvense methanolic and hexanoic extracts. The results indicated that the plants hexane and methanol extracts showed antibacterial activities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".