Study of antimicrobial activity of zinc oxide nanoparticles and Phenol extract from Nigella Sativa L.
Bibliographic record
Abstract
Background: This study investigate the antibacterial activity of phenol extract from Nigella Sativa L and Zno nanoparticles toward staphylococcuse aureas and Escherichia coli. Objective: Detecting the phytochemical of plant by using reagent, separation phenol compound from alcohol extract and studding antibacterial of phenol extract and Znonanoparticl. Patients and methods: the antibacterial test detected by disc diffusion methods at concentration ( 25,50,75 and 100 mg/ml ) for phenol extract , while Zno nanoparticles at concentration (0.2 , 0.3, 0.4 and 0.5 mg/ml). Results: the inhibition zone of phenol extract in concentration 25 mg/ml was 16.11 mm, 15.11 mm for S. aureus, E .coli respectively, while concentration 50 mg/ml in S. aureus, E.coli 17.44mm, 16.12mm respectively, while concentration 75mg/ml in S. aureus 19.22mm, E.coli 18.34 mm , concentration 100 mg/ml in S. aureus 21.12mm, E.coli 20.12 mm. While the inhibition zone of Zno nanoparticles was 1.23 mm, 2.23 mm against S. aureus ,E .coli respectively with concentration0.2 mg/ml, while concentration 0.3mg/ml in S. aureus 1.99mm, E.coli 3.54mm, while concentration 0.4mg/ml in S. aureus 2.76mm, E.coli 4.11 mm , concentration 0.5 mg/ml in S. aureus 3.65, E.coli 4.11 mm. Conclusion: This effect due to the ability of ZnO nanocomposite to disrupt genes for resistance to oxidative stress, and increase the ROS, which contributes to eradication of bacteria by stimulating macrophages and production of cytokines. Also disrupt the bacterial cell wall (positive, negative) by affecting the osmosis of the cell wall, so the cells treated with this compound appear wrinkled and irregular in shape.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".