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Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite
OBJECTIVE: The aim of this study was to evaluate the influence of different modeling agents on the surface microhardness (Vickers hardness number; VHN), roughness (Ra), and color change (ΔE) of a nano-hybrid composite with or without exposure to discoloration by coffee. MATERIALS AND METHODS: Sixty-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Conservative Dentistry
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239675/ https://www.ncbi.nlm.nih.gov/pubmed/32483531 http://dx.doi.org/10.5395/rde.2020.45.e13 |
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author | Kutuk, Zeynep Bilge Erden, Ecem Aksahin, Damla Lara Durak, Zeynep Elif Dulda, Alp Can |
author_facet | Kutuk, Zeynep Bilge Erden, Ecem Aksahin, Damla Lara Durak, Zeynep Elif Dulda, Alp Can |
author_sort | Kutuk, Zeynep Bilge |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to evaluate the influence of different modeling agents on the surface microhardness (Vickers hardness number; VHN), roughness (Ra), and color change (ΔE) of a nano-hybrid composite with or without exposure to discoloration by coffee. MATERIALS AND METHODS: Sixty-four cylinder-shaped nano-hybrid composite specimens were prepared using a Teflon mold. The specimens' surfaces were prepared according to the following groups: group 1, no modeling agent; group 2, Modeling Liquid; group 3, a universal adhesive (G-Premio Bond); and group 4, the first step of a 2-step self-adhesive system (OptiBond XTR). Specimens were randomly allocated into 2 groups (n = 8) according to the storage medium (distilled water or coffee). VHN, Ra, and ΔE were measured at 24 hours, 1 week, and 6 weeks. The Kruskal-Wallis test followed by the Bonferroni correction for pairwise comparisons was used for statistical analysis (α = 0.05). RESULTS: Storage time did not influence the VHN of the nano-hybrid composite in any group (p > 0.05). OptiBond XTR Primer application affected the VHN negatively in all investigated storage medium and time conditions (p < 0.05). Modeling Liquid application yielded improved Ra values for the specimens stored in coffee at each time point (p < 0.05). Modeling Liquid application was associated with the lowest ΔE values in all investigated storage medium and time conditions (p < 0.05). CONCLUSION: Different types of modeling agents could affect the surface properties and discoloration of nano-hybrid composites. |
format | Online Article Text |
id | pubmed-7239675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Academy of Conservative Dentistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-72396752020-05-31 Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite Kutuk, Zeynep Bilge Erden, Ecem Aksahin, Damla Lara Durak, Zeynep Elif Dulda, Alp Can Restor Dent Endod Research Article OBJECTIVE: The aim of this study was to evaluate the influence of different modeling agents on the surface microhardness (Vickers hardness number; VHN), roughness (Ra), and color change (ΔE) of a nano-hybrid composite with or without exposure to discoloration by coffee. MATERIALS AND METHODS: Sixty-four cylinder-shaped nano-hybrid composite specimens were prepared using a Teflon mold. The specimens' surfaces were prepared according to the following groups: group 1, no modeling agent; group 2, Modeling Liquid; group 3, a universal adhesive (G-Premio Bond); and group 4, the first step of a 2-step self-adhesive system (OptiBond XTR). Specimens were randomly allocated into 2 groups (n = 8) according to the storage medium (distilled water or coffee). VHN, Ra, and ΔE were measured at 24 hours, 1 week, and 6 weeks. The Kruskal-Wallis test followed by the Bonferroni correction for pairwise comparisons was used for statistical analysis (α = 0.05). RESULTS: Storage time did not influence the VHN of the nano-hybrid composite in any group (p > 0.05). OptiBond XTR Primer application affected the VHN negatively in all investigated storage medium and time conditions (p < 0.05). Modeling Liquid application yielded improved Ra values for the specimens stored in coffee at each time point (p < 0.05). Modeling Liquid application was associated with the lowest ΔE values in all investigated storage medium and time conditions (p < 0.05). CONCLUSION: Different types of modeling agents could affect the surface properties and discoloration of nano-hybrid composites. The Korean Academy of Conservative Dentistry 2020-01-29 /pmc/articles/PMC7239675/ /pubmed/32483531 http://dx.doi.org/10.5395/rde.2020.45.e13 Text en Copyright © 2020. The Korean Academy of Conservative Dentistry https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kutuk, Zeynep Bilge Erden, Ecem Aksahin, Damla Lara Durak, Zeynep Elif Dulda, Alp Can Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
title | Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
title_full | Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
title_fullStr | Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
title_full_unstemmed | Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
title_short | Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
title_sort | influence of modeling agents on the surface properties of an esthetic nano-hybrid composite |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239675/ https://www.ncbi.nlm.nih.gov/pubmed/32483531 http://dx.doi.org/10.5395/rde.2020.45.e13 |
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