Optimization and Prediction of Ibuprofen Release from 3D DLP Printlets Using Artificial Neural Networks.

ABSTRACT: The aim of this work was to investigate effects of the formulation factors on tablet printability as well as to optimize and predict extended drug release from cross-linked polymeric ibuprofen printlets using an artificial neural network (ANN). Printlets were printed using digital light processing (DLP) technology from formulations containing polyethylene glycol diacrylate, polyethylene glycol, and water in concentrations according to D-optimal mixture design and 0.1% w/w riboflavin and 5% w/w ibuprofen. It was observed that with higher water content longer exposure time was required for successful printing. For understanding the effects of excipients and printing parameters on drug dissolution rate in DLP printlets two different neural networks were developed with using two commercially a

SUBMITTER: Madzarevic M 

PROVIDER: S-EPMC6835658 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature