Polymeric Nanoparticles as Drug Delivery Systems for Controlled Release

Abstract

This study focuses on providing a comparative mathematical analysis of drug release from polymeric nanoparticle with different structures to allow in silico prediction of the appropriate and optimal model that applies to the whole drug release and not limited to a part of the process. The drug release data from nanoparticles have been applied using MATLAB software to apply mathematical models such as Zero-order, First-order, Higuchi, Hixson–Crowell, Korsmeyer-Peppas models besides a proposed model called Tanh function. This study results highlight the usefulness of mathematical models, key findings emerge that the Tanh model and First-order model gave the best fits of the parameters data as both model's plots showed high linear correlation (R2 = 0.9781, 0.9448) respectively. Finally, this study concludes that both proposed Tanh function and First-order model shows better performance, giving good results and can be successfully used to characterize drug and applied for prolonged drugs release.