Journal
INTERNATIONAL JOURNAL OF PHARMACEUTICS
Volume 473, Issue 1-2, Pages 38-54Publisher
ELSEVIER
DOI: 10.1016/j.ijpharm.2014.06.045
Keywords
Model predictive control; Pharmaceutical; Continuous processing; NIR; Hybrid; PCA
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Funding
- National Science Foundation Engineering Research Center on Structured Organic Particulate Systems [NSF-ECC 0540855]
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It is desirable for a pharmaceutical final dosage form to be manufactured through a quality by design (QbD)-based approach rather than a quality by testing (QbT) approach. An automatic feedback control system coupled with PAT tools that is part of the QbD paradigm shift, has the potential to ensure that the pre-defined end product quality attributes are met in a time and cost efficient manner. In this work, an advanced hybrid MPC-PID control architecture coupled with real time inline/online monitoring tools and principal components analysis (PCA) based additional supervisory control layer has been proposed for a continuous direct compaction tablet manufacturing process. The advantages of both MPC and PID have been utilized in a hybrid scheme. The control hardware and software integration and implementation of the control system has been demonstrated using feeders and blending unit operation of a continuous tablet manufacturing pilot plant and an NIR based PAT tool. The advanced hybrid MPC-PID control scheme leads to enhanced control loop performance of the critical quality attributes in comparison to a regulatory (e.g. PID) control scheme indicating its potential to improve pharmaceutical product quality. (C) 2014 Elsevier B.V. All rights reserved.
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