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Designing and testing regenerative pulp treatment strategies: modeling the transdentinal transport mechanisms.

Passos AD, Mouza AA, Paras SV, Gogos C, Tziafas D - Front Physiol (2015)

Bottom Line: The need for simulation models to thoroughly test the inflammatory effects of dental materials and dentinogenic effects of specific signaling molecules has been well recognized in current dental research.The present protocol study is part of an ongoing investigation on the development of a methodology that can calculate the transport rate of selected molecules inside a typical dentinal tubule.In that framework we propose a simple algorithm that, given the type of molecules of the therapeutic agent and the maximum acceptable time for the drug concentration to attain a required value at the pulpal side of the tubules, can estimate the initial concentration to be imposed.

View Article: PubMed Central - PubMed

Affiliation: Department of Chemical Engineering, Aristotle University of Thessaloniki Thessaloniki, Greece.

ABSTRACT
The need for simulation models to thoroughly test the inflammatory effects of dental materials and dentinogenic effects of specific signaling molecules has been well recognized in current dental research. The development of a model that simulates the transdentinal flow and the mass transfer mechanisms is of prime importance in terms of achieving the objectives of developing more effective treatment modalities in restorative dentistry. The present protocol study is part of an ongoing investigation on the development of a methodology that can calculate the transport rate of selected molecules inside a typical dentinal tubule. The transport rate of biological molecules has been investigated using a validated CFD code. In that framework we propose a simple algorithm that, given the type of molecules of the therapeutic agent and the maximum acceptable time for the drug concentration to attain a required value at the pulpal side of the tubules, can estimate the initial concentration to be imposed.

No MeSH data available.


Concentration distribution of a diffusate in a cylindrical μ-tube. Comparison between CFD data and the corresponding results from Equation (3) for: (A)t = 0.5 h and (B)t = 3.5 h after the diffusate release.
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Figure 4: Concentration distribution of a diffusate in a cylindrical μ-tube. Comparison between CFD data and the corresponding results from Equation (3) for: (A)t = 0.5 h and (B)t = 3.5 h after the diffusate release.

Mentions: Figure 4 presents the comparison between the results of Equation (3) and the data obtained from the CFD simulations for two time periods (i.e., 0.5 and 3.5 h). The initial mass of the diffusate is located at x/L = 0. A very good agreement (±10%) exists between the experiments and the analytical solution with the corresponding numerical ones. Consequently, we can conclude that the CFD code is capable of handling diffusion and mass transport phenomena in the microscale.


Designing and testing regenerative pulp treatment strategies: modeling the transdentinal transport mechanisms.

Passos AD, Mouza AA, Paras SV, Gogos C, Tziafas D - Front Physiol (2015)

Concentration distribution of a diffusate in a cylindrical μ-tube. Comparison between CFD data and the corresponding results from Equation (3) for: (A)t = 0.5 h and (B)t = 3.5 h after the diffusate release.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4584931&req=5

Figure 4: Concentration distribution of a diffusate in a cylindrical μ-tube. Comparison between CFD data and the corresponding results from Equation (3) for: (A)t = 0.5 h and (B)t = 3.5 h after the diffusate release.
Mentions: Figure 4 presents the comparison between the results of Equation (3) and the data obtained from the CFD simulations for two time periods (i.e., 0.5 and 3.5 h). The initial mass of the diffusate is located at x/L = 0. A very good agreement (±10%) exists between the experiments and the analytical solution with the corresponding numerical ones. Consequently, we can conclude that the CFD code is capable of handling diffusion and mass transport phenomena in the microscale.

Bottom Line: The need for simulation models to thoroughly test the inflammatory effects of dental materials and dentinogenic effects of specific signaling molecules has been well recognized in current dental research.The present protocol study is part of an ongoing investigation on the development of a methodology that can calculate the transport rate of selected molecules inside a typical dentinal tubule.In that framework we propose a simple algorithm that, given the type of molecules of the therapeutic agent and the maximum acceptable time for the drug concentration to attain a required value at the pulpal side of the tubules, can estimate the initial concentration to be imposed.

View Article: PubMed Central - PubMed

Affiliation: Department of Chemical Engineering, Aristotle University of Thessaloniki Thessaloniki, Greece.

ABSTRACT
The need for simulation models to thoroughly test the inflammatory effects of dental materials and dentinogenic effects of specific signaling molecules has been well recognized in current dental research. The development of a model that simulates the transdentinal flow and the mass transfer mechanisms is of prime importance in terms of achieving the objectives of developing more effective treatment modalities in restorative dentistry. The present protocol study is part of an ongoing investigation on the development of a methodology that can calculate the transport rate of selected molecules inside a typical dentinal tubule. The transport rate of biological molecules has been investigated using a validated CFD code. In that framework we propose a simple algorithm that, given the type of molecules of the therapeutic agent and the maximum acceptable time for the drug concentration to attain a required value at the pulpal side of the tubules, can estimate the initial concentration to be imposed.

No MeSH data available.