Literature DB >> 16085305

A pilot study of a simple photon migration model for predicting depth of cure in dental composite.

Yin-Chu Chen1, Jack L Ferracane, Scott A Prahl.   

Abstract

OBJECTIVES: The purpose of this study was to build a photo migration model to calculate the radiant exposure (irradiancextime) in dental composite and to relate the radiant exposure with extent of cure using polymer kinetics models.
METHODS: A composite (Z100, Shade A2) cylinder (21 mm diameter by 15 mm deep) was cured with a tungsten-halogen lamp emitting 600 mW/cm2, 1 mm above the composite for 60s. For each of the 2x1 mm grids along the longitudinal cross section (diameter versus depth), the degree of conversion (DC) and hardness (KHN) were measured to construct the curing extent distribution. The inverse adding-doubling method was used to characterize the optical properties of the composite for the Monte Carlo model simulating the photon propagation within the composite cylinder. The calculated radiant exposure (H) distribution along the cross section was related to the curing extent DC/DC(max) distribution and fitted with two polymer curing kinetics models, the exponential model DC=DC(max)[1-exp((ln0.5)H/H(dc)(50%))] and Racz's model [Formula: see text] , where H(dc)(50%) is a fitting parameter representing the threshold for 50% of the maximum curing level. RESULTS AND SIGNIFICANCE: The absorption and scattering coefficients of uncured composite were higher than that of cured composite at wavelengths between 420 and 520 nm. A roughly hemi-spheric distribution of radiant exposure in the Monte Carlo simulation result was comparable with the curing profiles determined by both DC and KHN. The relationship between DC (or KHN) and H agreed with the Racz model (r2=0.95) and the exponential model (r2=0.93). The H(dc)(50%) was 1.5(0.1), equal for the two models (P<0.05). The estimated radiant exposure threshold for 80% of the maximum curing level was between 3.8 and 8.8 J/cm2. The simulation results verify that the radiant exposure extends to a greater depth and width for composite with lower absorption and scattering coefficients. Given the optical properties and the geometry of the composite, and the spectrum and the geometry of the light source, the Monte Carlo simulation can accurately describe the radiant exposure distribution in a composite material to predict the extent of cure.

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Year:  2005        PMID: 16085305     DOI: 10.1016/j.dental.2005.05.002

Source DB:  PubMed          Journal:  Dent Mater        ISSN: 0109-5641            Impact factor:   5.304


  7 in total

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Authors:  André Luis Faria-E-Silva; Carmem Silvia Pfeifer
Journal:  Dent Mater       Date:  2017-08-12       Impact factor: 5.304

2.  Thiourethane filler functionalization for dental resin composites: Concentration-dependent effects on toughening, stress reduction and depth of cure.

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Journal:  Mater Sci Eng C Mater Biol Appl       Date:  2020-09-18       Impact factor: 7.328

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4.  Effect of Light Intensity on the Degree of Conversion of Dual-cured Resin Cement at Different Depths with the use of Translucent Fiber Posts.

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5.  Mechanical properties, water sorption characteristics, and compound release of grape seed extract-incorporated resins.

Authors:  Don Jeevanie Epasinghe; Cynthia Kar Yung Yiu; Michael Francis Burrow
Journal:  J Appl Oral Sci       Date:  2017 Jul-Aug       Impact factor: 2.698

6.  Influence of the distance of the curing light source and composite shade on hardness of two composites.

Authors:  Thaís Thomé; Washington Steagall; Arlene Tachibana; Sheila Regina Maia Braga; Miriam Lacalle Turbino
Journal:  J Appl Oral Sci       Date:  2007-12       Impact factor: 2.698

7.  Origin of micro-scale heterogeneity in polymerisation of photo-activated resin composites.

Authors:  Richard A Martin; Owen Addison; Slobodan Sirovica; Johanne H Solheim; Maximilian W A Skoda; Carol J Hirschmugl; Eric C Mattson; Ebrahim Aboualizadeh; Yilan Guo; Xiaohui Chen; Achim Kohler; Dan L Romanyk; Scott M Rosendahl; Suzanne Morsch
Journal:  Nat Commun       Date:  2020-04-15       Impact factor: 14.919

  7 in total

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