Antioxidant and Antimicrobial Activities of Cynara scolymus L. Rhizomes
Bibliographic record
Abstract
The natural forests and meadows of the Green Mountain of Libya are classified as the richest floristic region of the country. Among various species Cynara scolymus L. (Asteraceae), is the most used medicinal plant. C. scolymus L., has long been regarded as noncrop food and also as an effective medicinal plant. In the current study, total phenols as well as flavanoids were determined in methanolic and aqueous extracts the of C. scolymus L. rhizomes in order to assess their contribution to the antioxidant activity. Free radical scavenging activity of the extracts was investigated and compared with ascorbic acid. Methanolic extract exhibited a higher total phenols (45.11 mg GAE/g DW) and flavonoids (37.00 mg Rutin/g), that results in a high antioxidant activity with IC50 (17.77 µg/ml). In contrast, aqueous extract showed a lower total phenolic and flavonoid contents (37.79 mg GAE/g DW and 15.51 mg Rutin/g DW, respectively) and IC50 (66.3 µg/ml). Isolated flavonoids showed the highest free radical scavenging activities (IC50 = 13.33 µg/ml). The in vitro antibacterial activity of C. scolymus L. rhizomes was investigated against various strains of bacteria by hole-plate diffusion method. The minimum inhibitory concentrations (MICs) of the crude methanol, flavonoids and alkaloids extracts found to be between 0.03 and 200 mg/ml for the susceptible organisms, with that of MRSA being the least.
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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 | 0.001 | 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) | 0.001 | 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".