| Grant number: | 17/27056-7 |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| Start date: | April 01, 2018 |
| End date: | December 31, 2020 |
| Field of knowledge: | Health Sciences - Dentistry - Social and Preventive Dentistry |
| Principal Investigator: | Ana Carolina Magalhães |
| Grantee: | Paula Fontana Machado |
| Host Institution: | Faculdade de Odontologia de Bauru (FOB). Universidade de São Paulo (USP). Bauru , SP, Brazil |
Abstract The aim of this in vitro study is to evaluate the abrasive potential of whitening toothpastes on eroded bovine dentin samples with respect to the progression of wear. For that, 90 bovine root dentin samples will be obtained, polished and subjected to the analysis of the baseline profile. The samples, then, will be protected in 2/3 of their surface and randomly assigned into 6 groups (n=15/group): Group 1 - Commercial toothpaste Oral-B 3D White (1450 ppm F, NaF, disodium pyrophosphate); Group 2 - Commercial toothpaste Close-up Diamond Attraction Power White (1450 ppm F, NaF, PVM/MA copolymer, trisodium phosphate); Group 3 - Commercial toothpaste Sorriso Xtreme White 4D (1450 ppm F, NaF, tetrasodium pyrophosphate); Group 4 - Commercial Toothpaste Colgate Luminous White (1450 ppm F, NaF, STPP, F & E Blue N1); Group 5 - Commercial toothpaste Crest (1500 ppm F, NaF, Procter & Gamble); Group 6 - only erosion. The samples will be submitted to a pH cycling and to abrasive challenges for 7 days, consisting of 4 cycles of 90 s per day in 0.1% citric acid (pH 2.5). After the first and the last cycles, the samples will be subjected to abrasive challenges, using tooth brushing machine, toothbrush (Curaprox) and slurry of the tested toothpastes (2x15 s, 150 g, 3 back-and-forth movements/s). Between the erosive and abrasive challenges, the samples will be immersed in artificial saliva. The final profile will be obtained. The baseline and final profiles will be overlaid for the calculation of wear (µm). The data will be subjected to normality and homogeneity tests in order to run the most appropriate parametric or non-parametric statistical test (p < 0.05). | |
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