The Effect of Optical Profilometry on Dental Materials

Forfattere

  • Reem Abdulrahim Al-Esraa University

DOI:

https://doi.org/10.5195/d3000.2026.1392

Nøgleord:

Dental Stone, Translucency, Prosthodontics

Resumé

The goal of this study was to use a non-contact laser profilometer (NCLP) to evaluate the digitalization behavior of various dental materials. Glass slab was used to generate standardized surface features after three kinds of dental stone Type III, Type IV, and Type V high-strength dental stone and fifteen imprint ingredients were mixed according to the directions of the manufacturers. The surface roughness parameters Ra, Rq, and Rt were calculated using 20 randomly chosen transverse profiles after the NCLP analyzed a 6 × 40 mm scan region from every sample. After that, the impression materials were filled with dental stone called Silky-RockTM (Whip Mix Corp., Louisville, KY, USA), and the casts were measured for roughness in the same way. The statistical study of differences in roughness between materials was conducted using one-way ANOVA, while the comparison of impression materials to their matching stone casts was done using a paired t-test. There were statistical differences (p < 0.05) in each group (impression materials and dental stones) between the various tested materials. The dental stones had surface roughness values that varied from 0.84 to 1.08 µm, Rq values from 1.06 to 1.31 µm, and Rt values from 5.48 to 6.83 «m. From 0.73 to 4.62 µm, Rq from 0.93 to 6.19 µm, and Rt from 4.61 to 39.54 µm were the roughness values for the impression materials. Dark colored impression materials had a significantly different roughness value compared to lighter color ones (p < 0.05). The Silky-RockTM castings had roughness values ranging from 0.80 to 1.04 µm for Ra, 1.01 to 1.27 µm for Rq, and 5.01 to 6.34 µm for Rt. After replication in many impression materials, Silky-RockTM dental stone showed a statistically significant reduction in roughness change (p<0.01). Optical profilometry digitization accuracy was affected by material properties such as surface texture, translucency, and color of dental stones and impression materials.

Referencer

1. Gregg T, Mace S, West NX, Addy M. A study in vitro of the abrasive effect of the tongue on enamel and dentine softened by acid erosion. Caries Res. 2004;38:557-60.

2. Schrötzlmair F, Müller M, Pongratz T, Eder M, Johnson T, Vogeser M, von Holzschuher V, Zengel P, Sroka R. Laser lithotripsy of salivary stones: Correlation with physical and radiological parameters. Lasers in surgery and medicine. 2015 Apr;47(4):342-9.

3. Ganss C, Schlueter N, Friedrich D, Klimek J. Efficacy of waiting periods and topical fluoride treatment on toothbrush abrasion of eroded enamel in situ. Caries Res. 2007;41:146-51.

4. Attin T, Siegel S, Buchalla W, Lennon AM, Hannig C, Becker K. Brushing abrasion of softened and remineralised dentin: an in situ study. Caries Res. 2004;38:62-6.

5. Raif J, Vardi M, Nahlieli O, Gannot I. An Er: YAG laser endoscopic fiber delivery system for lithotripsy of salivary stones. Lasers in Surgery and Medicine: The Official Journal of the American Society for Laser Medicine and Surgery. 2006 Jul;38(6):580-7.

6. De Cesero L, de Oliveira EM, Junior LH, Papaléo RM, Mota EG. The addition of silica nanoparticles on the mechanical properties of dental stone. The Journal of prosthetic dentistry. 2017 Oct 1;118(4):535-9.

7. Kumar S, Keeling A, Osnes C, Bartlett D, O’Toole S. The sensitivity of digital intraoral scanners at measuring early erosive wear. Journal of dentistry. 2019 Feb 1;81:39-42.

8. Azzopardi A, Bartlett DW, Watson TF, Sherriff M. The measurement and prevention of erosion and abrasion. J Dent. 2001;29:395-400.

9. O'Toole S, Bartlett D, Keeling A, McBride J, Bernabe E, Crins L, Loomans B. Influence of scanner precision and analysis software in quantifying three-dimensional intraoral changes: two-factor factorial experimental design. Journal of medical Internet research. 2020 Nov 27;22(11):e17150.

10. Schlueter N, Ganss C, De Sanctis S, Klimek J. Evaluation of a profilometrical method for monitoring erosive tooth wear. Eur J Oral Sci. 2005;113:505-11.

11. Chadwick RG, Mitchell HL. Conduct of an algorithm in quantifying simulated palatal surface tooth erosion. J Oral Rehabil. 2001;28:450-6.

12. Eisenburger M, Shellis RP, Addy M. Comparative study of wear of enamel induced by alternating and simultaneous combinations of abrasion and erosion in vitro. Caries Res. 2003;37:450-5.

13. Wetton S, Hughes J, West N, Addy M. Exposure time of enamel and dentine to saliva for protection against erosion: a study in vitro. Caries Res. 2006;40:213-7.

14. Gholamrezaei K, Vafaee F, Afkari BF, Firouz F, Seif M. Fit of cobalt-chromium copings fabricated by the selective laser melting technology and casting method: A comparative evaluation using a profilometer. Dental Research Journal. 2020 May 1;17(3):200-7.

15. O’Toole S, Osnes C, Bartlett D, Keeling A. Investigation into the validity of Wear Compare, a purpose-built software to quantify erosive tooth wear progression. Dental Materials. 2019 Oct 1;35(10):1408-14.

16. Wieland M, Textor M, Spencer ND, Brunette DM. Wavelength-dependent roughness: a quantitative approach to characterizing the topography of rough titanium surfaces. Int J Oral Maxillofac Implants. 2001;16:163-81.

17. DeLong R, Pintado MR, Ko CC, Hodges JS, Douglas WH. Factors influencing optical 3D scanning of vinyl polysiloxane impression materials. J Prosthet Dent. 2001;10:78-85.

18. Heintze SD, Forjanic M, Rousson V. Surface roughness and gloss of dental materials as a function of force and polishing time in vitro. Dent Mater. 2006;22:146-65.

19. Shah S, Sundaram G, Bartlett D, Sherriff M. The use of a 3D laser scanner using superimpositional software to assess the accuracy of impression techniques. J Dent. 2004;32:653-8.

Downloads

Publiceret

2026-06-16

Nummer

Sektion

Adults & the Elderly