Evaluation of Bioactivity and Preliminary Phytochemical Investigation of Herbal Plants Against Ampicillin Resistant Bacteria
Bibliographic record
Abstract
Presently, natural products are extensively used as substitute of synthetic drugs because of natural and environment friendly antimicrobial actions due to presence of bioactive compounds. These bioactive compounds are found extensively in herbs. In this study, bioactivity and phytochemical study of crude extracts of Ocimum basilicum, Thymus vulgaris, Rosmarinus officinalis and Origanum vulgare against ampicillin resistant bacterial strains isolated from fruits and vegetables eaten as raw, was investigated. Bacterial strains were isolated from the surface of selected washed fruits and vegetables by serial dilution method. Three morphologically different strains (A, P and L) were selected on the basis of resistance to ampicillin (150ug/ml). 16s rRNA sequencing revealed that bacterial strains A, P and L belong to Pseudomonas aeruginosa strain A, Pseudomonas aeruginosa strain P and Rhodobacter sphaeroides, respectively. Phytochemical screening showed presence of different chemical compounds such as alkaloids, tannins, saponins, phlobotannins, quinones, coumarin and flavonoids. Occurrence of saponins and flavonoids in the extract was further confirmed by thin layer chromatography (TLC). Ocimum basilicum, Rosmarinus officinalis and Origanum vulgare extracts caused inhibition of the isolated ampicillin resistant organisms (Pseudomonas aeruginosa) but effect of Thymus vulgaris was more pronounced. Anti-mitotic study revealed the ability of these extracts to reduce dividing cells by the anti-mitotic properties and this is helpful in inhibition of the development of cancer cells. Therefore, these plants can be used to discover natural products that will aid in more effective developments of new drug research activities.
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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 | 0.002 | 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) | 0.000 | 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".