Characterization of Antibacterial and Surface Properties of 3D Printed Composite Resins Containing NF_TiO2 Nanoparticles and Triazine

• Grant number: 24/21036-8
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: September 01, 2025
• End date: August 31, 2026
• Field of knowledge: Health Sciences - Dentistry - Dental Clinics
• Principal Investigator: Marcelo Giannini
• Grantee: Beatriz de Cássia Romano
• Supervisor: Fernando Luis Esteban Florez
• Host Institution: Faculdade de Odontologia de Piracicaba (FOP). Universidade Estadual de Campinas (UNICAMP). Piracicaba , SP, Brazil
• Institution abroad: University Of Oklahoma, Campus Oklahoma City, United States
• Associated to the scholarship: 22/07242-9 - 3D resin composites for temporary and definitive restorations with incorporation of antimicrobial agents, BP.DR

Abstract

This research project aims to evaluate the effect of the functionalization of antimicrobial agents into composite resins for 3D printing of provisional and "permanent" restorations, focusing on their biological properties. Two antimicrobial agents: nitrogen and fluorine co-doped titanium dioxide nanoparticles (0, 10, 20, 30, and 40% vol/vol.) and the monomer 1,3,5-triacryloylhexahydro-1,3,5-triazine (0, 5, 10, 20% wt) will be incorporated into a resin for 3D printing of provisional (Prizma 3D Bio Prov, Makertech Labs) and "permanent" restorations (Prizma 3D Bio Crown, Makertech Labs). Sample preparation will be made using a 3D printer, according to the specifications and quantities necessary for each evaluation method: 1- Cell viability assay - SRB (n=5), 2- Cell viability assay - MTT (n=5), 3- Direct contact inhibition (n=5), 4- Antibacterial activity evaluation against planktonic bacteria (n=5), 5- High-throughput bioluminescence assay (n=18) and 6- Three-dimensional distribution of biofilm components (nucleic acids, proteins, and EPS) using a concurrent staining protocol and confocal microscopy analysis (n=3). The results obtained will be analyzed using SPSS software, and if normality and homoscedasticity assumptions are met, then analysis of variance (ANOVA) and Tukey's test (p<0.05) will be applied.