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Article

Enamel Remineralization Competence of a Novel Fluoride-Incorporated Bioactive Glass Toothpaste—A Surface Micro-Hardness, Profilometric, and Micro-Computed Tomographic Analysis

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Faculty of Dentistry, University of Toronto, Toronto, ON M5G 1G6, Canada
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Department of Biomedical Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
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Department of Dental Education, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
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Department of Preventive Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
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Department of Restorative Dentistry, Division of Operative Dentistry, Collage of dentistry, King Saud University, Riyadh 60169, Saudi Arabia
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Department of Prosthetic Dental Science, College of Dentistry, King Saud University, Riyadh 11545, Saudi Arabia
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Author to whom correspondence should be addressed.
Academic Editor: Emilio Quaia
Tomography 2021, 7(4), 752-766; https://doi.org/10.3390/tomography7040063
Received: 15 September 2021 / Revised: 28 October 2021 / Accepted: 1 November 2021 / Published: 9 November 2021
This study aimed to analyze the enamel remineralization efficacy of a novel fluoridated bioactive glass (F-BG) toothpaste compared to a standard fluoride toothpaste. Seventy-two enamel blocks (N = 72) were divided into groups of twenty-four blocks according to the toothpaste exposure—group 1: brushed with distilled water, group 2: brushed with fluoride toothpaste (ColgateTM), and group 3: brushed with F-BG toothpaste (BioMinFTM). Pre-brushing, enamel blocks were demineralized using 6 wt.% citric acid (pH = 2.4). Tooth brushing was performed using a mixture of respective toothpaste and artificial saliva (AS), and each enamel block received 5000 linear strokes. The samples were assessed for surface micro-hardness (to estimate Vickers hardness number, VHN), surface roughness (Ra), and volume loss/gain using micro-computed tomography (micro-CT). The highest increase in the VHN was noticed for group 3 (117.81) followed by group 2 (61.13), and all the intragroup comparisons were statistically significant (p < 0.05). Demineralization increased the Ra values, and a decrease was observed post-remineralization for all the groups. The maximum Ra decrease was observed for group 3 (−223.2 nm) followed by group 2 (−55.6 nm), and all the intragroup comparisons were again statistically significant (p < 0.05). Micro-CT investigation revealed that the enamel volume decreased after demineralization and increased after remineralization among all groups. The F-BG toothpaste showed greater enamel surface micro-hardness (increased VHN), smoother surface (low roughness), and better volume restoration (remineralization) in comparison to the fluoride toothpaste. View Full-Text
Keywords: dental enamel; bioactive glass; fluoride; toothpaste; surface micro-hardness; surface roughness; micro-CT dental enamel; bioactive glass; fluoride; toothpaste; surface micro-hardness; surface roughness; micro-CT
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MDPI and ACS Style

Farooq, I.; Ali, S.; Farooqi, F.A.; AlHumaid, J.; Binhasan, M.; Shabib, S.; Vohra, F.; Abduljabbar, T. Enamel Remineralization Competence of a Novel Fluoride-Incorporated Bioactive Glass Toothpaste—A Surface Micro-Hardness, Profilometric, and Micro-Computed Tomographic Analysis. Tomography 2021, 7, 752-766. https://doi.org/10.3390/tomography7040063

AMA Style

Farooq I, Ali S, Farooqi FA, AlHumaid J, Binhasan M, Shabib S, Vohra F, Abduljabbar T. Enamel Remineralization Competence of a Novel Fluoride-Incorporated Bioactive Glass Toothpaste—A Surface Micro-Hardness, Profilometric, and Micro-Computed Tomographic Analysis. Tomography. 2021; 7(4):752-766. https://doi.org/10.3390/tomography7040063

Chicago/Turabian Style

Farooq, Imran, Saqib Ali, Faraz A. Farooqi, Jehan AlHumaid, Mashael Binhasan, Sara Shabib, Fahim Vohra, and Tariq Abduljabbar. 2021. "Enamel Remineralization Competence of a Novel Fluoride-Incorporated Bioactive Glass Toothpaste—A Surface Micro-Hardness, Profilometric, and Micro-Computed Tomographic Analysis" Tomography 7, no. 4: 752-766. https://doi.org/10.3390/tomography7040063

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