Skip to main content
Prepare for an exciting September! Each week, we'll examine the latest trends in PAT, offering fresh insights straight from recent conferences. Your perspective matters, so we encourage you to share your thoughts as well. Stay informed, stay engaged, and let's explore these cutting-edge developments together. https://bit.ly/3Xw0X7k
3.147.7.215

Integrating sensors for monitoring blend content in a pharmaceutical continuous manufacturing plant

By Panikar, Savitha; Li, Jingzhe; Rane, Varsha; Gillam, Sean; Callegari, Gerardo; Kurtyka, Bogdan; Lee, Sau; Muzzio, Fernando

Published on CMKC

Abstract

In a pharmaceutical manufacturing process, Critical Quality Attributes (CQAs) need to be monitored not only for the final product but also for intermediates. Blend uniformity of powders is one such attribute that needs to be measured to ensure the quality of the final product. Multiple in-line sensors were implemented within a Direct Compaction (DC) continuous tablet manufacturing line to monitor the blend content of the powders. In most cases, since the primary ingredient of interest is the active pharmaceutical ingredient (API), the concentration (potency) of the API was monitored/predicted over the course of manufacturing. For the calibration model building process, a unique setup involving dynamic powder spectral acquisition method was used. This setup was aimed at mimicking the powder flow characteristics within the manufacturing line, while at the same time utilizing a relatively small amount of powder. A Raman probe and a portable NIR were used concurrently at the exit of the blending process before the tableting stage. The performance of the two sensors and their respective models were evaluated in terms of accuracy, precision, operating range, measurement frequency, placement, reliability, robustness, and compared to predictions using gravimetric feed rates. Additionally, their performances were validated by off-line traditional analytical measurements.

Journal

International Journal of Pharmaceutics. Volume 606, 2021, 120085

DOI

10.1016/j.ijpharm.2020.120085

Type of publication

Peer-reviewed journal

Affiliations

  • Rutgers, The State University of New Jersey
  • Kaiser Optical Systems, Inc.
  • U.S. Food and Drug Administration (FDA)

Article Classification

Research article

Classification Areas

  • PAT
  • Oral solid dose

Tags