Abstract
Drug-eluting stents implanted in blood vessels are subject to various dynamics of blood flow. In this study, we present the evaluation of a mathematical model considering the effect of flow rate, to simulate the kinetic profiles of drug release (Diclofenac Sodium (DS)) from in-vitro from PLGA films. This model solves a set of non-linear equation for modeling simultaneously the burst, diffusion, swelling and erosion involved in the mechanisms of liberation. The release parameters depending on the flow rate are determined using the corresponding mathematical equations. For the evaluation of the proposed model, test data obtained in our laboratory are used. To quantify DS release from drug-carrier PLGA films, we used the flow-through cell apparatus in a closed-loop. Four flow rate values are applied. For each value, the model-substance liberation kinetics showed an increase in drug released with the flow rate. The simulated release profiles show good agreement with the experimental results. Therefore, the use of this model could provide a practical tool to assess in-vitro drug release profiles from polymer matrices under continuous flow rate constraint, and could help improve the design of drug eluting stents.
Highlights
Drug release profile plays an important role in the efficacy of the therapy
The above definitions can help us to analyse the effect of the flow rate on the kinetics of the different mechanisms
Our model containing the selected above mechanisms (BDSE) was applied to the experimental results of PLGA10%Diclofenac Sodium (DS) with flow rates of 0, 6.5 and 15 ml/s (Fig. 5 shows the adjustments)
Summary
Drug release profile plays an important role in the efficacy of the therapy. The design of prolonged and controlled medicine administration systems represents a subject of importance and complex to control. A profound understanding of the physical mechanisms contributing to shape the kinetic profile for the drugcarriers is necessary in this regard. Total comprehension of the release mechanisms due to the complexity of delivery system is not easy to accomplished. Achieving this objective will help in the design and optimization of these devices. Mathematical models in this regard, can be helpful to decrease the time and costs of development. The existence of one of these stages is due to the different release mechanisms involved in the drug delivery system and to external conditions [8]. To ensure the success of any type of modeling, it is necessary to identify the major influence of many factors affecting the release profile like temperature, initial drug load or flow rate
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