Background: Restorative composite resins have clinical prime importance in modern dental practice, but numerous factors influence their prognosis in the oral environment. Their interaction with oral care products, like mouthwashes, is one such factor. This study aimed to evaluate the quantifiable effects of different mouthwashes on the surface properties of the composite resin restorative material.
Methodology: The method involved formulating 90 samples of nanohybrid composite resins (Medicept Dental India Private Limited, Mumbai, India). The samples were treated with 1% alcohol, without alcohol, and with a saline solution (control). Surface roughness (Ra values) and microhardness had been checked before and after an exposure period of 24 hours. Data were thus tabulated, and from that, average values of surface roughness and microhardness were derived. This data was analyzed using the IBM SPSS Statistics for Windows, V. 26.0 (IBM Corp., Armonk, NY). Analysis of variance (ANOVA) and a t-test were used to compare the means of the variables. The level of significance was fixed at p < 0.05.
Results: The surface roughness value was significantly highest in the ethanol-containing mouthwash-treated samples after 24 hours of exposure (p < 0.05). The microhardness was statistically lower in these samples (p < 0.05).
Conclusion: These research data give quantitative information, however, about the mass effect of mouthwashes on the composite resin restorative material. The presented changes, which were illustrated by the values of surface roughness and microhardness, are drawing attention to the fact that a cautious approach must be taken in the recommendations for oral care in the provision of intensive treatments with restorative composite resins.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11335179 | PMC |
http://dx.doi.org/10.7759/cureus.65021 | DOI Listing |
Sci Rep
December 2024
Department of Mechanical Engineering, School of Science and Engineering, The American University in Cairo, AUC Avenue, 11835, New Cairo, Egypt.
This study investigates the ablation performance of Inconel 718, a nickel-based superalloy, and metal matrix polycrystalline diamond (MMPCD), a super composite, using a nano-second (ns) pulsed laser across a range of ablation conditions. Single trenches varying in energy fluence and scanning speeds were created, analyzing the experimental responses in terms of ablation rate and surface roughness. Using regression techniques, models were developed to understand these relationships.
View Article and Find Full Text PDFData Brief
December 2024
Centro Universitário FEI, Avenida Humber de Alencar Castelo Branco, 3972, São Bernardo do Campo, 09850-901 São Paulo, Brazil.
The Ti6Al4V alloy is widely recognized for its extensive industrial applications, particularly in the aeronautics sector, due to its exceptional strength to-weight ratio and corrosion resistance. In this context, many industrial processes depend critically on surface area, topology, and roughness. A promising approach involves combining Ti6Al4V alloy with polymer composites, which offers significant potential for engineers to design parts that are not only high-performing but also environmentally friendly.
View Article and Find Full Text PDFJACS Au
December 2024
Department of Materials Design Innovation Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Aichi, Japan.
Controlling the nucleation, growth, and dissolution of Li is crucial for the high cycling stability in rechargeable Li metal batteries. The overpotential for Li nucleation (η) on Li alloys such as Li-Au is generally lower than that on metal current collectors (CCs) with very limited Li solubility like Cu. However, the alloying process of CC and its impact on the Li nucleation kinetics remain unclear.
View Article and Find Full Text PDFHeliyon
December 2024
School of Mechanical Engineering, Institute of Technology, Wallaga University, P.O. Box 395, Nekemte, Ethiopia.
Turning AISI (American Iron and Steel Institute) D3 tool steel can be challenging due to a lack of optimal process parameters and proper coolant application to achieve high surface quality and temperature control. Machine learning helps in predicting the optimal parameters, whereas nanofluids enhance cooling efficiency while preserving both the tool and the workpiece. This work intends to utilize advanced machine learning approaches to optimize process parameters with the application of hybrid nanofluids (AlO/graphene) during the CNC turning of AISI D3.
View Article and Find Full Text PDFDent Res J (Isfahan)
November 2024
Department of Orthodontics, Faculty of Dentistry, Tehran Azad University of Medical Sciences, Tehran, Iran.
Background: With recent increases in demand for the esthetic aspects of orthodontic treatments, the use of ceramic brackets has gained more popularity. Dental demineralization is a frequent, undesired effect of microbial biofilm adhesion to orthodontic appliances. The crystalline structure of ceramics results in different material properties, and its possible effect on microbial adhesion was investigated in this study.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!