The Effect of Bleaching Time on Dentin Fracture Toughness in Vitro
Bibliographic record
Abstract
STATEMENT OF PROBLEM: A recent study reported a decrease in dentin fracture toughness after the application of peroxide bleaching products to dentin in vitro. PURPOSE: The objective of the present study was to investigate this in vitro decrease in fracture toughness further by evaluating the effect of different peroxide application times on dentin fracture toughness. MATERIALS AND METHODS: Compact test fracture toughness specimens were prepared from coronal human. These were divided into five groups (N = 12) and subjected to either bleach (10% carbamide peroxide) and/or placebo gel for a total of 336 consecutive hours (0 and 336, 84 and 252, 168 and 168, 252 and 84, 336 and 0 hours of bleach and placebo application time, respectively). The gel materials were changed every 6 hours. Fracture toughness testing was done 24 hours after the end of bleaching using tensile loading at 10 mm/min. Results were analyzed by analysis of variance and linear regression (p < 0.05). RESULTS: Dentin fracture toughness after 252 and 336 hours was significantly reduced compared to the 0- and 84-hour bleach times. An association between fracture toughness and bleach time (r(2) = 0.82) with an inverse linear regression line (K(1C) = -0.0032 [hour] + 3.386) was found. CONCLUSIONS: A significant correlation was found between bleach time and dentin fracture toughness. Dentin fracture toughness was reduced over time during the 336-hour course of in vitro bleaching. CLINICAL SIGNIFICANCE: The results suggest that it would be prudent to minimize the length of time for clinical bleaching procedures when dentin is directly exposed to bleach.
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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 | 0.001 | 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 | 0.001 |
| 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".