Assessment in Vitro of Antibacterial Activity of Manipulated Product, on Solution Form, Obtained from Dry Extract of Leaves of Psidium guajava L.
Bibliographic record
Abstract
The Psidium guajava L. specie is a perennial shrub, belonging to the Myrtaceae family and it is popularly known as guava, its leaves are used in therapy for treating various diseases. The study aims to evaluate the antibacterial activity in vitro of manipulated product obtained from dried extract of the leaves of P. guajava L. front standard bacteria ATCC and clinical isolates. The tests were conducted on bacterial samples: Staphylococcus aureus (ATCC 25923), Pseudomonas aeruginosa (ATCC 27883), Escherichia coli (ATCC 25922), Salmonella spp, Acinetobacter baumannii, Proteus mirabilis, Shigella flexneri, Staphylococcus epidermidis, Staphylococcus haemolyticus, Streptococcus agalactiae, Streptococcus mutans. Among the tests can be mentioned phytochemical of the ethanol extract (EE), microbiological control and physical-chemical analysis of the product and microbiological tests such as agar diffusion method (wells), minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC), an evaluation test of hemolytic capacity of the solution and in vitro assay cytotoxic activity were performed, . The best result of the product in the agar diffusion method was front Staphylococcus epidermidis, while the lower MIC and MBC were front Staphylococcus aureus (ATCC 25923). The product showed no hemolytic activity and no cytotoxic activity at the tested concentrations. According to the test results, it is believed on the possibility of the production of a pharmaceutical formulation derived from the dry extract of Psidium guajava, since it showed great antibacterial activity.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".