ISSN : 2663-2187

Effect of incorporating Silver and Copper Nanoparticles on mechanical and antimicrobial properties of maxillofacial silicone elastomer. An invitro study

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Pinki Gupta, Ankita Singh,G. Hemanth Kumar,Gadde Harika,Sooriaprakas Chandrasekaran MDS,Venkata Saiteja Mungara,C Pradeep ,
» doi: 10.48047/AFJBS.6.7.2024.3747-3770

Abstract

Introduction Maxillofacial prosthetics play a crucial role in restoring facial defects caused by congenital anomalies, trauma, surgeries, or diseases. Silicone elastomers are widely preferred in these prosthetics due to their desirable properties like biocompatibility, lifelike aesthetics, and ease of fabrication. However, conventional silicone elastomers have limitations. They lack inherent antimicrobial properties, making them susceptible to microbial colonization and potential infections. Additionally, they can deteriorate mechanically over time, compromising the longevity and function of the prosthesis Aim – The aim of the study was to incorporate Ag nanoparticles and Cu nano-oxides (CuO) in various concentrations into PDMS (HTV Cosmesil M511) and assess the changes in mechanical and antifungal properties Material and methods This in vitro study was carried out in the Department of Prosthodontics, Banaras Hindu University, Varanasi, India Between December 2020 to October 2021.A total of 63 specimens were prepared and were equally divided into each of the 7 study groups. All the samples were subjected to different mechanical and biological tests: Tensile strength, percentage elongation, tear strength, and antifungal activity against C. Albicans and C. Glabrata. Data collected from quantitative studies of the experimental groups was compared to the control group using one-way analysis of variance (ANOVA) with concentration as the main variable for tensile strength, percentage elongation, tear strength, and antifungal activity. Tukey test was used as a post hoc test to identify differences among the groups at a significance level of ???? = 0.05 for all tests. ???? values < 0.05 were considered statistically significant. All statistical tests were performed using SPSS.21 statistical software.

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