Development and evaluation of the physical properties of experimental root canal sealers based on MTA and salicylate resin

• Grant number: 15/19887-0
• Support Opportunities: Regular Research Grants
• Start date: November 01, 2016
• End date: January 31, 2019
• Field of knowledge: Health Sciences - Dentistry - Dental Materials
• Principal Investigator: Rafael Pino Vitti
• Grantee: Rafael Pino Vitti
• Host Institution: Pró-Reitoria de Pesquisa e Pós-Graduação. Universidade de Taubaté (UNITAU). Taubaté , SP, Brazil
• Associated researchers: Mário Alexandre Coelho Sinhoreti

Abstract

Studies show that composition of calcium-based endodontic root canal sealers can be changed to improve their physical, chemical and biological properties. The purpose of this study will be to develop and evaluate the physical properties of three experimental root canal sealers based on MTA and salicylate resin. The experimental root canal sealers will be composed by two pastes. The base paste will be prepared with bismuth oxide and 1,3-butyl ethylene glycol disalicylate. Three different catalyst pastes will be formulated containing (1) Resimpol 8 (RP8), titanium dioxide (TiO2) and mineral trioxide aggregate (MTA); (2) RP8 + MTA + hydroxyapatite (HA) and; (3) RP8 + MTA + dibasic calcium phosphate dihydrate (DCPD). MTA Fillapex (Angelus) will be used as control. The 1,3-butyl ethylene glycol disalicylate will be synthesized by transesterification reaction and characterized by Fourier Transform Infrared Spectroscopy (FTIR). The experimental root canal sealers will be weighed and measured through an analytical balance. Human and bovine teeth will be used to evaluate several physical properties such as push-out bond strength, filling of root canals under microtomography, adhesion and adaptation of the cement-dentin interface using confocal microscopy, discoloration of cements by spectrophotometer, microstructure of root canal sealers by scanning electron microscope (SEM) and the film thickness through ISO 6876:2001. The results will be submitted to Kolmogorov-Smirnov normality test and the data will be analyzed statistically using analysis of variance (ANOVA-one way), and the means compared by Tukey test (p<0.05). (AU)