Phytochemical evaluation and In-vitro Antibacterial Activity of Curcuma longa
Bibliographic record
Abstract
In the present investigation, we studied on the in-vitro antibacterial activity of Curcuma longa extracts in hexane, chloroform, and methanol as well as phytochemical screening. Steroids, terpenoids, glycosides, tannins, alkaloids, phenols, and carbohydrates were all identified in the data. Against the investigated bacterial strains, the chosen plant extracts generated a concentration-dependent zone of inhibition. Compared to gram positive species, the extracts demonstrated more potency against gram negative organisms. When the extracts were at their greatest concentrations, 500 and 250 µg/ml, they demonstrated better activity. At 500 µg doses, the chloroform extract of Curcuma longa exhibited superior effectiveness against gram negative bacteria compared to the other two extracts
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".