Phytochemical and Biological Investigations of Different Partitioned Extracts of Ficus heteropleura Blume (Family: Moraceae) Leaves
Bibliographic record
Abstract
Ficus heteropleura Blume is a plant of the Moraceae family with high medicinal value. Therefore, the plant leaves' fractional extracts have been subjected to preliminary screenings for phytoconstituents and pharmacological studies. The phytochemical analysis was done after fractionating the ethanolic extract with n-hexane, chloroform, and hydro-alcohol. Then, the TLC method, DPPH radical scavenging, disc diffusion, membrane stabilization activity, heat-induced hemolysis, human blood clot lysis, and starch-iodine method were performed. The chemical investigation resulted in the identification of glycosides, amides, reducing sugars, flavonoids, phenols, alkaloids, tannins, saponins, gums, and steroids from the different extracts of the leaves of Ficus heteropleura Blume. In the antioxidant assay, hydro-alcoholic, chloroform, and n-hexane extracts at the dose of 100μg/ml produced significant inhibition of 76.11% (IC50 = 46.47 µg/ml), 72.83% (IC50 = 54.72 µg/ml), and 61.83% (IC50 = 77.95 µg/ml), respectively, as compared to the reference standard drug, ascorbic acid, 85.01% (IC50 = 32.22 µg/ml). However, only moderate anti-inflammatory activity was found in hydro-alcoholic extract (IC50 = 4.24 µg/ml). The extract also showed moderate thrombolytic and membrane-stabilizing effects. Hydro-alcoholic extract had antifungal activity against only Candida albicans (11 mm). However, chloroform plant extract exhibited significant antifungal activity against all included fungi. In the anti-diabetic study, significant inhibition of amylase activity was found by the hydro-alcoholic (73.33%) and chloroform (83.3%) extracts, respectively, whereas the n-hexane was found to have moderate activity (35.44%) compared to acarbose. Therefore, before isolation, characterization, and determination of the mechanism of action of the screened pharmacological activities, further investigation is needed.
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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) | 0.002 | 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".