Detection of residual resin-based orthodontic adhesive based on light-induced fluorescence.

Photodiagnosis Photodyn Ther

Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea. Electronic address:

Published: December 2018

AI Article Synopsis

  • This study focused on evaluating the fluorescence of different orthodontic adhesives using a technique called quantitative light-induced fluorescence-digital (QLF-D) imaging, examining how adhesive thickness affects color characteristics compared to natural tooth color.
  • Methods included preparing adhesive samples and taking fluorescence and white-light images to compare color differences scientifically, utilizing a system for precise measurement (CIE L*a*b*).
  • Results showed that fluorescence values varied between adhesive types, with thinner adhesives being easier to detect; specifically, certain thicknesses could be identified more accurately under fluorescence than with white light, highlighting fluorescence's potential for better detection of residual adhesive.

Article Abstract

Introduction: This study evaluated the fluorescence of orthodontic adhesives using quantitative light-induced fluorescence-digital (QLF-D) images, and compared differences in the color characteristics of the fluorescence between adhesive and the adjacent tooth with that under white-light illumination in specimens containing residual adhesive of various thicknesses.

Methods: Disc-shaped adhesive samples and samples comprising adhesive attached to extracted human teeth were prepared using Transbond XT, Blugloo, and Enlight, and they were ground to thicknesses ranging from 800 to 20 μm. Fluorescence and white-light images of the two types of specimens were taken with a QLF-D system. The color parameters for the fluorescence from the discs and the color difference (ΔE) between residual adhesive and the adjacent tooth were quantified in images using the CIE L*a*b* system.

Results: The fluorescence color values of the discs differed significantly among the three adhesive products (P <  0.05). The ΔE values in fluorescence (ΔE) and white-light (ΔE) images for all three adhesives were lower for thinner residual adhesive specimens. The thickness of the adhesive could be perceived over a range of 50-100 μm for fluorescence images and 400-800 μm for white-light images (ΔE > 3.3). ΔE was significantly larger than ΔE for all of the residual adhesives, Blugloo specimens thicker than 100 μm, and Transbond XT and Enlight specimens thicker than 50 μm (P <  0.05).

Conclusions: Detecting and analyzing fluorescence signals can improve the ability to detect residual adhesive on a tooth and also provide thickness information.

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Source
http://dx.doi.org/10.1016/j.pdpdt.2018.08.019DOI Listing

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