A predictive model for the polymerization of photo-activated resin composites

Frederick A. Rueggeherg, Wyatt F. Caughman, James W. Curtis, Harry C. Davis

Research output: Contribution to journalArticle

44 Scopus citations

Abstract

This study investigated the relative significance of irradiation duration (20, 40, 60, or 80 seconds) and intensity; filler type (Silux Plus, a microfill or P-50, a hybrid): and shade (Universal or Gray) on the polymerization of resin composite within the depth of a simulated photopolymerized restoration. From lhe data, a mathematical model that predicts the extent of resin polymerization based upon the above stated variables was generated. The monomer conversion of specimens was determined by infrared spectroscopy. The results are of great clinical use and indicate that the most significant factor influencing resin composite polymerization is thickness of overlying resin composite. Both duration of exposure and light intensity demonstrate high and equal impact. Color and filler type have only minimal influence. The predictive model for resin composite polymerization provided a very good fil (r2 = .949).

Original languageEnglish (US)
Pages (from-to)159-166
Number of pages8
JournalInternational Journal of Prosthodontics
Volume7
Issue number2
StatePublished - Jan 1 1994

ASJC Scopus subject areas

  • Oral Surgery

Fingerprint Dive into the research topics of 'A predictive model for the polymerization of photo-activated resin composites'. Together they form a unique fingerprint.

  • Cite this