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Effect of biomodified solutions phosphorylated chitosan and carbodiimide on chemical composition of eroded dentin

Grant number: 17/27134-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): March 01, 2018
Effective date (End): February 28, 2019
Field of knowledge:Health Sciences - Dentistry - Social and Preventive Dentistry
Principal researcher:Silmara Aparecida Milori Corona
Grantee:Gustavo Teodoro Costa Lizarelli
Home Institution: Faculdade de Odontologia de Ribeirão Preto (FORP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Carbodiimide and phosphorylated chitosan are promising alternatives for dentin biomodification. However, there is a need for greater understanding of the chemical aspects related to the application of these biomodifiers in the eroded dentin. The aim of this study will be to evaluate the effect of the biomodifiers solutions, phosphorylated chitosan and carbodiimide on the organic components of eroded dentin by means of Fourier Transform Infrared Spectroscopy (FTIR). Sixty specimens will be submitted to erosive challenge by immersion in 0.3% citric acid (pH = 3.2) for two hours. The specimens will be randomly divided into six groups according to the dentin substrate: eroded and the dentin biomodification: without biomodification (control), 2.5% phosphorylated chitosan and 0.5 mol/L carbodiimide. Specimens from the control and carbodiimide groups will be conditioned with 35% phosphoric acid. For the groups biomodified with phosphorylated chitosan, the acid-conditioning step will be omitted, and 2.5% phosphorylated chitosan will be applied. Specimens will be submitted to the analysis of organic composition of the dentin surface (n = 10) using FTIR. The absorption peaks of the phosphate carbonate groups, organic matrix bands and water will be analyzed. The readings will be performed in triplicate, thus generating 3 absorption spectra for each specimen, and an average for each component analyzed. The selection of statistical tests will be based on the characteristics of the data set for each variable, such as adherence to the normal curve and homoscedasticity. The statistical inferences will be made considering the level of significance of 5%. (AU)

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