Karunakar P, Ranga Reddy MS, Faizuddin U, Karteek BS, Charan Reddy CL, Rasagna M. Evaluation of surface analysis of gutta-percha after disinfecting with sodium hypochlorite, silver nanoparticles, and chitosan nanoparticles by atomic force microscopy: An
in vitro study.
J Conserv Dent 2021;
24:63-66. [PMID:
34475682 PMCID:
PMC8378490 DOI:
10.4103/jcd.jcd_505_20]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 11/04/2022] Open
Abstract
Aims and Objectives:
The purpose of this study is to evaluate the surface topography of gutta-percha (GP) after disinfecting with sodium hypochlorite (NaOCl) (5.25%), silver nanoparticles (AgNPs) (70 µg/ml), and chitosan nanoparticles (ChNPs) (1.5 mg/ml) by atomic force microscopy (AFM).
Materials and Methods:
Forty GP cones were taken in this in vitro study. These samples were divided into four different groups such as Group I – control group (untreated GP Points) and Group II, III, and IV were treated with 5.25% NaOCl, 70 µg/ml AgNPs, and 1.5 mg/ml ChNPs, respectively. The surface topography analysis of the samples was performed using AFM.
Statistical Analysis:
Root mean square (RMS) and surface roughness parameters were used to compare the structure of GP points with contact mode imaging. These values were tested by IBM SPSS-20.0 version statistical software using one-way ANOVA and post hoc (Tukey's honestly significant difference) tests. They were considered statistically significant when P < 0.05.
Results:
The RMS and surface roughness values are significantly higher for NaOCl group (5.25% NaOCl) when compared with AgNPs group (70 µg/ml AgNPs) and ChNPs group (1.5 mg/ml ChNPs).
Conclusion:
This study has shown more surface topography deterioration of GP treated with NaOCl and lesser deterioration with AgNPs and ChNPs which affects postoperative prognosis.
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