New screening methodology for selection of polymeric materials for transdermal drug delivery devices

As medical advances extend the human lifespan, the level of chronic illnesses will increase and thus straining the needs of the health care system that, as a result, governments will need to balance expenses without upsetting national budgets.;Therefore, the selection of a precise and affordable drug delivery technology is seen as the most practical solution for governments, health care professionals, and consumers.;Transdermal drug delivery patches (TDDP) are one of the best economical technologies that are favored by pharmaceutical companies and physicians alike because it offers fewer complications when compared to other delivery technologies. TDDP provides increased efficiency, safety and convenience for the patient. The TDDP segment within the US and Global drug delivery markets were valued at ;The present TDDP technology involves the fabrication of a patch that consists of a drug embedded in a polymeric matrix. The diffusion coefficient is determined from the slope of the cumulative drug release versus time. It is a trial and error method that is time and labor consuming. With all the advantages that TDDPs can offer, the methodology used to achieve the so-called optimum design has resulted in several incidents where the safety and design have been put to question in recent times (e.g. Fentanyl).;A more logical screening methodology is needed. This work shows the use of a modified Duda Zielinsky equation (DZE). Experimental release curves from commercial are evaluated. The experimental and theoretical Diffusion Coefficient values are found to be within the limits specified in the patent literature. One interesting finding is that the accuracy of the DZE is closer to experimental values when the type of Molecular Shape and Radius are used.;This work shows that the modified DZE could be used as an excellent screening tool to determine the optimal polymeric matrices that will yield the desired Diffusion Coefficient and thus effectively decreasing the amount of time and labor when developing TDDPs.