
A new deep-learning framework that was recently developed improves the accuracy of near-infrared spectroscopy for non-destructively measuring internal quality traits.
This article summarizes recent efforts by the Duquesne University Center for Pharmaceutical Technology to develop and validate a PAT method using NIR spectroscopy for the on-line prediction of tablet hardness and active pharmaceutical ingredient content.



