The Antibacterial Activity of Natural Product Black Tea Theaflavins On Streptococcus Mutans
Bibliographic record
Abstract
Abstract Objective The aim of the study is to investigate the antibacterial effect of the black tea theaflavins (TFs) on Streptococcus mutans (S. mutans) which cause the dentin caries. Methods (1) Broth dilution method was used for the determination of minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC). (2) Mixed bacterial suspension with three different concentrations of TFs and recorded pH values before and after anaerobic incubation. (3) Scanning electron microscopy was used for observing bacteria morphology. Results (1) The MIC and MBC were 0.5mg/ml and 1.0mg/ml respectively. (2) With the increasing concentration of TFs, the ability of bacteria to produce acid gradually decreased. (3) TFs changed the shape of S. mutans. Conclusions Theaflavins inhibits S. mutans effectively.
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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 | 0.000 | 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 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".