Effects of Whitening Toothpastes on the Surface Roughness of Contemporary Restorative Materials: A Profilometric Study

Objectives: This in-vitro study aimed to evaluate the effects of four commercially ava-ilable whitening and conventional toothpastes on the surface roughness of contemporary res-torative materials, including an alkasite, a nano-hybrid composite, a nano-hybrid flowable composite, an ormocer-based flowable material, and a zirconia-reinforced glass ionomer. Materials and Methods: A total of 225 specimens were prepared and subjected to standardized simulated tooth-brushing equivalent to one month of clinical use. Surface ro-ughness (Ra) values were measured before and after brushing using a contact profilometer. Non-parametric statistical tests (Wilcoxon, Kruskal–Wallis, Dunn with Bonferroni correction) were used to analyze changes within and between material–toothpaste combinations. Results: Significant differences in surface roughness were found among most mate-rial–toothpaste combinations (p < 0.05). Ormocer, flowable composites (NF0, NF2), and Zir-conomer (Z2, Z3) showed the greatest susceptibility to abrasion, while NF3–NF4, A3–A4, and several nanohybrid subgroups (N1–N3–N4) demonstrated similar resistance with no signifi-cant changes. Conclusion: These findings indicate that the abrasivity of toothpastes influences resto-rative materials in a highly material-dependent manner. Clinical toothpaste selection should therefore consider the type of restorative material present.

Authors

Publication Details

Journal
Kapadokya Üniversitesi
Published
2026-04-30
DOI
https://doi.org/10.54995/asc.6.1.3
Primary Topic
Dental Erosion and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Whitening Toothpastes on the Surface Roughness of Contemporary Restorative Materials: A Profilometric Study

Cansu Yıkıcı Çöl
Kapadokya Üniversitesi
Dental Erosion and Treatment
article

Effects of Whitening Toothpastes on the Surface Roughness of Contemporary Restorative Materials: A Profilometric Study

Cansu Yıkıcı Çöl
article en

Abstract

Objectives: This in-vitro study aimed to evaluate the effects of four commercially ava-ilable whitening and conventional toothpastes on the surface roughness of contemporary res-torative materials, including an alkasite, a nano-hybrid composite, a nano-hybrid flowable composite, an ormocer-based flowable material, and a zirconia-reinforced glass ionomer. Materials and Methods: A total of 225 specimens were prepared and subjected to standardized simulated tooth-brushing equivalent to one month of clinical use. Surface ro-ughness (Ra) values were measured before and after brushing using a contact profilometer. Non-parametric statistical tests (Wilcoxon, Kruskal–Wallis, Dunn with Bonferroni correction) were used to analyze changes within and between material–toothpaste combinations. Results: Significant differences in surface roughness were found among most mate-rial–toothpaste combinations (p < 0.05). Ormocer, flowable composites (NF0, NF2), and Zir-conomer (Z2, Z3) showed the greatest susceptibility to abrasion, while NF3–NF4, A3–A4, and several nanohybrid subgroups (N1–N3–N4) demonstrated similar resistance with no signifi-cant changes. Conclusion: These findings indicate that the abrasivity of toothpastes influences resto-rative materials in a highly material-dependent manner. Clinical toothpaste selection should therefore consider the type of restorative material present.

Kapadokya Üniversitesi
Sustainable cities and communities
Openalex Percentile: Top 7%
Dental Erosion and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.