Abstract
An extensive data set has been developed and used to further the progress of a model-informed design of controlled drug release. An improved drug-release model with mechanistic modeling of hydrolytic polymer degradation is used and validated by comparing model predictions to in vitro experiments. Combining parameter estimates from the literature with model fits to the data set, this study can aid in achieving a priori design of controlled drug release from a model PLGA release system. A systematic series of model release systems were formulated with FITC-labeled dextran, as a surrogate for biopharmaceuticals, in PLGA rods over a broad range of compositions. While general comparisons between the model and experiments were favorable, important discrepancies were identified for several formulations with significant first-phase drug release. Supported by cross-sectional fluorescence microscopy images of the FITC-dextran distribution within the rods, this first-phase release was attributed to a combination of two main factors: (1) percolation of the drug particles and (2) swelling of and pore formation in the rods due to water uptake. These observations indicate the importance of careful selection of the PLGA polymer grade when designing drug release systems but also reflect a need for better understanding of phenomena such as pore formation. Adapting model parameters, without modifying the physical processes included in the model, enabled accurate fitting of the experimental data for all formulations, highlighting the applicability of the model.