Evaluating the Antimicrobial Properties of Different Dental Cleaning Tablets Against <i>S. aureus</i> Grown on Two Denture Base Materials
Bibliographic record
Abstract
OBJECTIVES: This study aimed to evaluate the antimicrobial efficacy of three commercially available denture cleaning tablets Efferdent, Polident, and Val-clean against Staphylococcus aureus biofilms formed on two denture base materials: milled polymethyl methacrylate (PMMA) and 3D printed denture resin. MATERIAL AND METHODS: Eighty samples were fabricated, with 40 specimens per denture base material: CAD/CAM milled PMMA (Lucitone Digital Fit LT; Dentsply Sirona, Charlotte, NC, USA) and 3D printed resin (Denture Base Resin; Formlabs Inc., Somerville, MA, USA). Each group was divided into four subgroups (n = 10), Efferdent, Polident, Val-clean, and deionized water (control). Surface roughness was measured using a digital profilometer (Digiprofilo I; Digiwork Instruments, Concord, ON, Canada). Samples were exposed to S. aureus in tryptic soy broth (TSB) and subsequently treated with the cleaning solutions. Colony-forming units (CFUs) were quantified using serial dilution plating. To distinguish bactericidal from bacteriostatic effects, normalized S. aureus cultures were incubated with the cleaning agents for 16 h, followed by optical density measurements, LIVE/DEAD staining (Invitrogen, Carlsbad, California), and TSB agar plating. Statistical analysis was performed using one-way ANOVA and Dunnett's multiple comparisons test, with significance set at p < 0.05. RESULTS: A significant difference in surface roughness was observed between the 3D printed and milled samples before treatment (p < 0.0001). Significantly fewer CFUs were observed in all cleaning solution groups compared to the control (p < 0.05). All denture cleaning solutions demonstrated bactericidal activity against S. aureus, as indicated by the absence of CFU growth on agar plates and the lack of viable cells in LIVE/DEAD staining posttreatment. Both denture materials demonstrated comparable microbial adhesion and response to the cleaning agents. CONCLUSIONS: Efferdent, Polident, and Val-clean denture tablets are effective bactericidal agents against S. aureus in vitro, regardless of the denture base material used. These findings support their use in daily denture hygiene routines, particularly in reducing bacterial colonization on removable prostheses.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".