Robert R. Seghi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Interests
Robert R. Seghi has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
Jonathan Draney
Ohio State Univ, Coll Dent, Columbus, OH 43210 USA
2 shared publicationsNoriko Katsube
Ohio State Univ, Coll Engn, Columbus, OH 43210 USA
2 shared publicationsSadia Nasrin
Ohio State Univ, Coll Engn, Columbus, OH 43210 USA
2 shared publicationsDiana Leyva del Rio
Oral Biology, The Ohio State University College of Dentistry, 305 West 12th Avenue, Room 3037D, Columbus, OH 43210-1267, USA
1 shared publication- Diana Leyva del Rio
Division of Restorative and Prosthetic Dentistry, The Ohio State University—College of Dentistry, 305 W 12th Ave., Columbus, OH 43210, USA
1 shared publication
Latest Publications
- Open Access
Influence of the Resin Matrix Phase on the Fatigue Resistance of Model Dental Composite Resins
This study aimed to assess how different resin matrix formulations affect the fatigue resistance of resin dental composites. Model dental composites were formulated using six distinct monomer mixtures: two Bis-GMA (bisphenol A-glycidyl methacrylate):TEGDMA (triethylene glycol dimethacrylate) (60:40 and 80:20 mole%), two UDMA (urethane dimethacrylate):TEGDMA (60:40 and 80:20 mole%), one Bis-GMA:UDMA:TEGDMA (35:35:30 mole%), and one Fit852:UDMA:TEGDMA (35:35:30 mole%). Cyclic fatigue resistance (CFR) of the resin composites was measured in a biaxial test mode using staircase analysis. Additional evaluations included biaxial flexural strength (BFS), degree of conversion (DC), water sorption (WS), and viscoelastic properties of the unfilled resins, such as the storage modulus (E′), loss modulus (E″), tan δ (E″/E′), and stiffness (k′). Data were subjected to one-way ANOVA with Tukey post hoc analyses. Pearson correlation and stepwise regression analyses were conducted to examine the relationships among variables. The UT6040 model composite exhibited the highest CFR (82.61 ± 8.83 MPa), significantly outperforming other formulations. Tan δ of the resin matrix showed the strongest correlation with CFR (r = 0.974), and was also shown to be the most influential predictor for the CFR of the particulate composites. The composition of the resin matrix has a significant impact on the CFR of dental composites. Among the properties evaluated, the viscoelastic parameter tan δ emerged as a strong and reliable predictor of CFR, emphasizing the importance of targeting viscoelastic behavior in the design of dental composite formulations.
Open AccessInfluence of the Resin Matrix Phase on the Fatigue Resistance of Model Dental Composite Resins
This study aimed to assess how different resin matrix formulations affect the fatigue resistance of resin dental composites. Model dental composites were formulated using six distinct monomer mixtures: two Bis-GMA (bisphenol A-glycidyl methacrylate):TEGDMA (triethylene glycol dimethacrylate) (60:40 and 80:20 mole%), two UDMA (urethane dimethacrylate):TEGDMA (60:40 and 80:20 mole%), one Bis-GMA:UDMA:TEGDMA (35:35:30 mole%), and one Fit852:UDMA:TEGDMA (35:35:30 mole%). Cyclic fatigue resistance (CFR) of the resin composites was measured in a biaxial test mode using staircase analysis. Additional evaluations included biaxial flexural strength (BFS), degree of conversion (DC), water sorption (WS), and viscoelastic properties of the unfilled resins, such as the storage modulus (E′), loss modulus (E″), tan δ (E″/E′), and stiffness (k′). Data were subjected to one-way ANOVA with Tukey post hoc analyses. Pearson correlation and stepwise regression analyses were conducted to examine the relationships among variables. The UT6040 model composite exhibited the highest CFR (82.61 ± 8.83 MPa), significantly outperforming other formulations. Tan δ of the resin matrix showed the strongest correlation with CFR (r = 0.974), and was also shown to be the most influential predictor for the CFR of the particulate composites. The composition of the resin matrix has a significant impact on the CFR of dental composites. Among the properties evaluated, the viscoelastic parameter tan δ emerged as a strong and reliable predictor of CFR, emphasizing the importance of targeting viscoelastic behavior in the design of dental composite formulations.
- 1 April 2019
- Published by Elsevier in Dental Clinics of North America
- Vol. 63 (2) , 233-248
Biomaterials
- 1 April 2019
- Published by Elsevier in Dental Clinics of North America
- Vol. 63 (2) , 233-248
Biomaterials
- 1 March 2013
- Vol. 35 (2) , 153-159
Root Fortification
An incompletely formed tooth is left with thin dentin walls and experiences a higher incidence of cervical root fracture that reduces the long-term overall prognosis of the tooth. Faced with these situations, clinicians have attempted to use various restorative methods to reinforce the remaining root. Various techniques have been reported, and the scientific evidence for each has been reviewed. The biomechanical considerations of reinforcing a weakened root are also reviewed, and the most current information about failure analysis, fracture characteristics of natural dentin, and in vitra test configurations used have been considered. In light of these additional considerations, some recommendations for future understanding of this complex problem have been proposed.
- 1 March 2013
- Vol. 35 (2) , 153-159
Root Fortification
An incompletely formed tooth is left with thin dentin walls and experiences a higher incidence of cervical root fracture that reduces the long-term overall prognosis of the tooth. Faced with these situations, clinicians have attempted to use various restorative methods to reinforce the remaining root. Various techniques have been reported, and the scientific evidence for each has been reviewed. The biomechanical considerations of reinforcing a weakened root are also reviewed, and the most current information about failure analysis, fracture characteristics of natural dentin, and in vitra test configurations used have been considered. In light of these additional considerations, some recommendations for future understanding of this complex problem have been proposed.