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Systematic framework for implementation of material traceability into continuous pharmaceutical tablet manufacturing process

By Billups, Matthew; Singh, Ravendra

Published on

Abstract

Purpose: With the applications of more advanced manufacturing technologies being applied to the pharmaceutical industry, continuous processes are at the forefront of innovation. One area that is highly desired to be systematically investigated is material traceability in continuous manufacturing systems. By following federal guidelines already in place, the goal was to address the issue of material traceability in a continuous direct compression tablet manufacturing process. Methods: The residence time distribution (RTD) method has been used for material traceability in continuous pharmaceutical tablet manufacturing process. Utilizing the minimum and maximum residence times for the continuous line pre-production, raw material batch changes that occur during feeder refill can be traced at the outlet of the process. MATLAB programing was used to develop software prototype to trace material components. Results: Developed framework for implementation of material traceability into continuous manufacturing pilot-plant. To demonstrate the application of this framework, a software prototype was developed, which allows the operator to input residence time attributes for each component in the formulation. Using the minimum and maximum residence time values for that component, the lot number is incremented when the change in material batch is predicted to be present in the tablets at the outlet. The tablet lot number is recorded by the control system in real-time. Conclusions: Developed framework and corresponding software allows the material traceability to be fully accounted for during a continuous drug product manufacturing process. A proof of concept was created to demonstrate feasibility of such a system, which has a wide range of applications.

Journal

Journal of Pharmaceutical Innovation. Volume 15, 2020, 51-65

DOI

10.1007/s12247-018-9362-9

Type of publication

Peer-reviewed journal

Affiliations

  • Rutgers, The State University of New Jersey

Article Classification

Research Article

Classification Areas

  • Oral solid dose
  • Modeling

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