Microbial adhesion and biofilm formation by Candida albicans on 3D-printed denture base resins

da Silva, Marcela Dantas Dias; Nunes, Thais Soares Bezerra Santos; Viotto, Hamile Emanuella do Carmo; Coelho, Sabrina Romao Goncalves; de Souza, Raphael Freitas; Pero, Ana Carolina

Abstract

This study evaluated surface properties and adhesion/biofilm formation by Candida albicans on 3D printed denture base resins used in 3D printing. Disc-shaped specimens (15 mm x 3 mm) of two 3D-printed resins (NextDent Denture 3D+, NE, n = 64; and Cosmos Denture, CO, n = 64) and a heat-polymerized resin (Lucitone 550, LU, control, n = 64) were analyzed for surface roughness (Ra mu m) and surface free energy (erg cm(-2)). Microbiologic assays (90-min adhesion and 48-h biofilm formation by C. albicans) were performed five times in triplicate, with the evaluation of the specimens' surface for: (i) colony forming units count (CFU/mL), (ii) cellular metabolism (XTT assay), and (iii) fluorescence and thickness of biofilm layers (confocal laser scanning microscopy). Data were analyzed using parametric and nonparametric tests (alpha = 0.05). LU presented higher surface roughness Ra (0.329 +/- 0.076 mu m) than NE (0.295 +/- 0.056 mu m) (p = 0.024), but both were similar to CO (0.315 +/- 0.058 mu m) (p = 1.000 and p = 0.129, respectively). LU showed lower surface free energy (47.47 +/- 2.01 erg cm(-2)) than CO (49.61 +/- 1.88 erg cm(-2)) and NE (49.23 +/- 2.16 erg cm(-2)) (p<0.001 for both). The CO and NE resins showed greater cellular metabolism (p<0.001) and CO only, showed greater colonization (p = 0.015) by C. albicans than LU in the 90-min and 48-hour periods. It can be concluded that both 3D-printed denture base resins are more prone to colonization by C. albicans, and that their surface free energy may be more likely associated with that colonization than their surface roughness.

Más información

Título según WOS: ID WOS:001082514400046 Not found in local WOS DB
Título de la Revista: PloS one
Volumen: 18
Número: 10
Editorial: Public Library of Science
Fecha de publicación: 2023
DOI:

10.1371/journal.pone.0292430

Notas: ISI