Prediction of quality attributes of continuously produced granules using complementary pat tools

Abstract

Manufacturers of pharmaceutical solid dosage forms aim for a reduced production time and a shorter “time-to-market.” Therefore, continuous manufacturing gains increasing interest in the pharmaceutical industry. For continuous manufacturing, the quality of produced pharmaceuticals should be assessed in real-time (in-line, on-line, and at-line) and not via the traditional off-line, often destructive and time-consuming analysis methods that supply the desired information only hours after sampling. This research paper evaluates three Process Analytical Technology (PAT) tools for the real-time at-line analysis of granules, which were produced using a continuous wet twin-screw granulator being part of a from powder-to-tablet production line (ConsiGma™-25). A Raman and NIR spectrometer were used together with a photometric imaging technique in order to acquire solid-state information and granule size data. These multivariate data were then used to predict the granules’ moisture content, tapped and bulk density, and flowability. The three PAT tools provided complementary information for predicting these quality attributes of the continuously produced granules. The residual moisture content was mostly correlated with the spectroscopic data, whereas the imaging data had the highest predictive capability for the flowability of the granules.