In-vitro Acetylcholinesterase and antioxidant activity of Ficus dalhousie and Melissa parviflora Benth
Bibliographic record
Abstract
Ficus dalhousie and Melissa parviflora Benth both plants have been used as Tranquiliser, Relaxants, Nervine tonic and Calming aids throughout the world. The present study was aimed to identify the antioxidant potential of the Ethyl acetate and Hydro alcoholic extract of these plants by in vitro methods. Anti-Alzheimer activity of the plant extract were screened by Acetylcholinesterase (AChE) inhibition and antioxidant by DPPH and Hydrogen oxide. The results of the assays were calculated by the percentage inhibition of these free radicals. In Acetylcholinesterase (AChE) assay inhibitory potentials of Ficus dalhousie exhibited 73.34 ± 1.12%, whereas in Melissa arviflora it was 86.88± 2.12%. In DPPH radical scavenging assay the percentage inhibition was 77.87 ± 2.02% in Ficus dalhousie and 76.92± 1.32% in Melissa arviflora. Hydrogen peroxide scavenging assay the percentage inhibition was 86.56 ± 1.05% in Ficus dalhousie and 80.75± 1.92% was in Melissa arviflora. In all the research assays, the extract showed a concentration dependent increase in free radical scavenging activity. The results revealed that the antioxidant effects of the plant extract might be due to the presence of phenol and flavonoid compounds.
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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 | 0.000 | 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) | 0.001 | 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".