In vitro effect of simulated brushing on color stability, surface roughness, and microbial adhesion of characterizing resin composites for 3D denture base.
Gengive composite; 3D printing; Denture base resin.
With the advances in CAD-CAM systems, new digital technologies have optimized the
fabrication of complete dentures (CDs). In this context, light-curable materials have been used
for the extrinsic characterization of 3D-printed denture bases. However, studies evaluating the
performance of these materials under simulated mechanical brushing are still scarce. Therefore,
the objective of this study will be to evaluate the impact of simulated brushing on the color
stability, surface roughness, and microbial adhesion of characterizing resin composites with
different viscosities applied to denture base materials. Discs (10 × 3.0 mm) will be fabricated
from a 3D-printed denture base resin (Bio Denture; PRIZMA) and a heat-polymerized resin
(VIPICRIL; VIPI). Three extrinsic characterizations, 2 mm thick, will be applied to the 3D-
printed resin discs: one regular-viscosity resin (Make Smile Gengiva Fill) and two low-viscosity
resins (Make Smile Pigment and Lite Art), all light-cured (25W/5 minutes). The heat-
polymerized resin will be fabricated and characterized (STG; VIPI) using the compression
molding technique. Color stability (ΔE00) will be measured using a colorimeter; surface
roughness (Ra) will be evaluated with an optical profilometer; and microbial adhesion of
Candida albicans (log CFU/mL) will be assessed after 20,000 cycles of simulated brushing.
Statistical analysis will include the Shapiro-Wilk test to verify normality. If data show a normal
distribution, ANOVA and paired t-test will be applied. In the absence of normality, Kruskal-
Wallis and Wilcoxon tests will be used for intergroup and intragroup comparisons, respectively.
A significance level of 5% (α = 0.05) and a statistical power of 80% (1 – β = 0.80) will be
adopted.