INFLUENCE OF THE USE OF ULTRASONIC DEVICE ON THE DENTIN CARIES REMOVAL ASSOCIATED WITH ANTIMICROBIAL PHOTODYNAMIC THERAPY ON THE ADHESIVE BOND STRENGTH

• Grant number: 22/16136-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2023
• End date: July 31, 2024
• Field of knowledge: Health Sciences - Dentistry - Dental Clinics
• Principal Investigator: Alessandra Nara de Souza Rastelli
• Grantee: Bruna Ildebrando Juliano de Souza
• Host Institution: Faculdade de Odontologia (FOAr). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil
• Associated research grant: 13/07276-1 - CEPOF - Optics and Photonic Research Center, AP.CEPID

Abstract

Among the microorganisms present in the oral cavity, the bacteria in association with the frequent consumption of carbohydrates can produce acids that lead to the demineralization of dental structures and consequently to carious lesions. For the treatment of already established and irreversible carious lesions, conservative removal of the carious tissue and the use of complementary methods for cavity decontamination should be carried out in order to obtain a better performance and longevity of the restorative treatment. Thus, the aim of this study is to evaluate the effectiveness of the use of an ultrasound device associated to antimicrobial photodynamic therapy (aPDT) on the adhesive bond strength. Artificial carious lesions will be induced on bovine dentin by the biological model with duo species biofilm combining Streptococcus mutans and Actinomyces naeslundii. Six groups will be evaluated according to the removal and decontamination techniques. Then, the cavities will be restored with composite resin (FiltekTM Z350 XT - 3M/ESPE), using the universal adhesive system, in order to evaluate the effect of treatments on bond strength and failure pattern, through microshear and optical microscopy tests. After evaluating the assumptions of normality and homoscedasticity, and if met, the data will be submitted to analysis of variance and for multiple comparison. Otherwise, non-parametric analysis will be used.