Characterization of phytochemicals and determination of antioxidant, antimicrobial and cytotoxic properties of the medicinal plant Ardisia solanacea
Bibliographic record
Abstract
The present study was conducted to detect possible phytochemicals and evaluate antioxidant, antimicrobial and cytotoxic activities of the extract of Ardisia solanacea. Phytochemical screening was carried out using the standard test methods of different chemical group. For investigating the antioxidant activity, two complementary test methods namely DPPH free radical scavenging assay and total phenolic content determination were carried out. For the evaluation of in vitro antimicrobial activity, disc diffusion method was used. Evaluation of cytotoxic activity was done using the brine shrimp lethality bioassay. In DPPH free radical scavenging test, the petroleum ether soluble fraction showed the highest free radical scavenging activity with IC50 value 40.04 ?g/ml. while compared to that of the reference standards ascorbic acid. Ardisia solanacea was also found as a good source of total phenolic contents. Moreover, the extracts revealed moderate antimicrobial activity at the concentration of 400 ?g/disc. In cytotoxic activity test, the petroleum ether soluble fraction showed significant cytotoxic potential (LC50 value of 0.703 ?g/ml) among all the fractions comparing with that of standard vincristine (0.544 ?g/ml). Therefore, further studies are suggested to determine the active compounds responsible for the pharmacological activities of the plant extracts.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".