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Evaluation of the physical properties of denture base 3D printing resins after immersion in disinfectant solutions

Grant number: 22/06884-7
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): August 01, 2022
Effective date (End): July 31, 2023
Field of knowledge:Health Sciences - Dentistry - Dental Materials
Principal Investigator:Janaina Habib Jorge
Grantee:Bárbara Lima Morais
Host Institution: Faculdade de Odontologia (FOAr). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil

Abstract

Current technologies have led to the development of new methods of manufacturing removable dentures through intraoral scanning and 3D printing. Some advantages have been reported in the literature in relation to additive manufacturing, but the physical properties of the materials used need to be better explored for their adequate clinical use. Therefore, the objective of this in vitro study will be to evaluate the physical properties (color stability, hardness, and surface roughness) of a denture base resin for 3D printing compared to a conventional thermopolymerizable acrylic resin after immersion in disinfectant solutions. Samples of both resins will be prepared (14 mm in diameter and 1.2 mm in thickness) and divided into 4 groups according to the disinfectant solution used, as follows: AD: samples immersed in distilled water; HS: samples immersed in 0.5% sodium hypochlorite; DC: samples immersed in 2% chlorhexidine digluconate; SL: samples immersed in a disinfectant liquid soap solution (Lifebuoy). All samples will be immersed at immersion times of 0, 1, and 3 months and after each period, the physical properties will be evaluated. The results will be tabulated and submitted to the normality test to verify the distribution of sample data. Based on the results observed through the normality test, it will be possible to determine the most appropriate statistical method at a significance level of 5%. If the data have a normal distribution, being unpaired samples, the statistical test used to verify the degree of interaction between the factors will be the factorial ANOVA.(AU)

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