Antibacterial Potentials of the Ethanolic Extract of the Stem Bark of Combretum micranthum G. Don and Its Fractions
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Bibliographic record
Abstract
Ethanolic extract of the stem bark of Combretum micranthum and its fractions were evaluated for their antibacterial potentials against two Gram positive organisms (Staphylococcus aureus and Bacillus subtilis) and two Gram negative organisms (Escherichia coli and Pseudomonas aeruginosa)-all of both medical and pharmaceutical importance. The anti-bacterial potential was assesed using both the agar and tube dilution methods; Phytochemical and TLC analysis were also done to identify the content of the stem bark of the plant. Phytochemical screening results indicated the presence of flavonoids, tannin, saponins, anthraquinones and cardiac glycosides. The extract and its fractions exhibited potent antimicrobial activities against the test organisms with n- hexane fraction showing the mildest activity. The most pronounced activity was observed with the aqueous fractions and interestingly, against the Gram negative organisms. Results of the Minimum Inhibitory concentration (MIC) of the ethanolic extract and fractions range from 0.234375mg/ml-15mg/ml. The Minimum Bactericidal concentration (MBC) range from 0.9375mg/ml-30mg/ml confirming that the extracts are bactericidal and that their activity is concentration dependent. Thin Layer Chromatography (TLC) results showed a number of likely bioactive constituents which may have been responsible for the observed activities. Results are discussed in the context of the relevance of plant constituents in the control of organisms of health and pharmaceutical importance.
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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 | 0.000 | 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 it