Correlation Between Gloss and Surface Roughness of Low Viscosity Bulk Fill Resin Composites
Abstract
Objectives: This study aimed to determine the correlation between gloss and roughness in low-viscosity bulk fill composite resins. Materials and methods: The study had an experimental, analytical, prospective, and cross-sectional design, with a sample of 60 blocks of low-viscosity resins distributed into three groups of 20 units each: Group 1—3M Filtek Bulk Fill Flow (FBF), Group 2—Opus Bulk Fill Flow APS (OBF), Group 3—Opalis Flow (OF) (Control). Gloss and roughness were measured using a gloss meter and a contact roughness meter. In the descriptive analysis, measures of central tendency and dispersion were calculated. The normality of the data was evaluated using the Shapiro-Wilk test. For the comparison of roughness between resins, the ANOVA test was applied, and for gloss, the Kruskal-Wallis test was applied, both with Tukey and Dwass-Steel-Critchlow-Figner post-hoc tests, respectively. The relationship between variables was measured using Pearson and Spearman correlations. The data were processed using the SPSS statistical package, considering a significance level of 0.05. Results: The FBF resin had the highest average roughness, while OF had the lowest value; in addition, OF had the highest gloss values. On the other hand, there was a statistically significant high negative correlation between roughness and gloss (p<0.01). Conclusions: There was an inverse relationship between roughness and gloss regardless of the type of resin evaluated.
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References
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Details
Primary Language
English
Subjects
Dental Materials
Journal Section
Research Article
Authors
Ingridh Soledad Giraldo Antunez
0009-0006-8437-8749
Peru
Grace Alexandra Diaz Llerena
0009-0001-0742-8611
Peru
Lilia Inés Mori-guerrero
0000-0002-3882-5572
Peru
Silvana Anduaga-lescano
0000-0001-7154-2921
Peru
Carlos Cava-vergiu
0000-0003-0338-3425
Peru
Publication Date
March 27, 2026
Submission Date
July 9, 2025
Acceptance Date
January 26, 2026
Published in Issue
Year 2026 Volume: 29 Number: 1