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Smear layer--materials surface.

J D Eick1

  • 1Department of Oral Biology, School of Dentistry, University of Missouri-Kansas City.

Proceedings of the Finnish Dental Society. Suomen Hammaslaakariseuran Toimituksia
|January 1, 1992
PubMed
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Higher wetting and penetration of dentin adhesives correlate with increased shear bond strength. Advanced adhesives demonstrate superior bond strength and different failure modes compared to earlier formulations.

Area of Science:

  • Dental Materials Science
  • Biomaterials Engineering
  • Adhesion Science

Background:

  • The smear layer and dentin-adhesive interfaces are critical for successful dental restorations.
  • Understanding the relationship between adhesive properties and bond strength is essential for material selection.

Purpose of the Study:

  • To evaluate the effect of wetting and penetration on dentin adhesive shear bond strength.
  • To categorize dentin adhesives based on their performance and failure mechanisms.

Main Methods:

  • Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM) were used to examine the smear layer and interfaces.
  • Shear bond strength testing was performed on various dentin adhesive systems.
  • Adhesive systems were categorized based on their shear bond strength values and failure modes.

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Main Results:

  • Increased wetting and penetration of dentin adhesives led to higher shear bond strength.
  • Three categories of adhesives were identified with shear bond strengths ranging from 5-7 MPa (Category 1), 8-14 MPa (Category 2), and up to 20 MPa (Category 3).
  • Failures occurred at the interface or within the adhesive for Categories 1 and 2, while Category 3 failures involved dentin or composite.

Conclusions:

  • Wetting and penetration are key factors influencing the bond strength of dentin adhesives.
  • Modern dentin adhesives offer significantly higher bond strengths and improved failure characteristics compared to older systems.
  • Material selection should consider the specific adhesive's performance and expected failure mode for optimal clinical outcomes.