Optimization of a shape memory-based platform for drug delivery

Shape memory polymers (SMPs) are materials capable of programmable shape changes, triggered by the exposure to an external stimulus. Their smart response holds potential for the development of shape-shifting medical devices, e.g. self-expandable stents and dynamically active substrates for tissue engineering. Recently, the possibility to leverage the peculiarities of SMPs also for pharmaceutical applications was envisioned for site-specific delivery of active molecules inside the human body. The shape memory effect of a pharmaceutical-grade polymer was proved to be useful for the prototyping of a gastroretentive drug delivery system (DDS), first by programming a temporary shape, which can be fitted inside commercially available capsules, and secondly, by exploiting the recovery of the permanent bulky shape (upon contact with simulated gastric fluid at 37°C) to achieve retention and controlled release of the conveyed drug. The core aim of this work is to propose an experimental strategy, supported by a computational activity, to optimize the performance of this system in terms of the mechanical response and controlled release.