| Literature DB >> 28069357 |
Ahmad Almaya1, Lawrence De Belder2, Robert Meyer3, Karthik Nagapudi4, Hung-Ren Homer Lin5, Ian Leavesley6, Jayanthy Jayanth7, Gurjit Bajwa8, James DiNunzio3, Anthony Tantuccio9, Dan Blackwood10, Admassu Abebe9.
Abstract
Continuous manufacturing (CM) has emerged in the pharmaceutical industry as a paradigm shift with significant advantages related to cost, efficiency, flexibility, and higher assurance of quality. The inherent differences from batch processes justify examining the CM control strategy more holistically. This article describes the current thinking for the control and implementation of CM, using the example of a direct compression process and taking into consideration the ICH Q10 definition of "state of control" and process validation requirements. Statistical process control using control charts, sources of variation, process capability, and process performance is explained as a useful concept that can help assess the impact of variation within a batch and indicates if a process is in state of control. The potential for time-variant nature of startup and shutdown with CM is discussed to assure product quality while minimizing waste as well as different options for detection and isolation of non-conforming materials due to process upsets. While different levels of control are possible with CM, an appropriate balance between process control and end product testing is needed depending on the level of process understanding at the different stages of development from the production of clinical supplies through commercialization.Entities:
Keywords: continuous manufacturing; control strategy; direct compression; process capability; state of control; statistical process control
Mesh:
Year: 2017 PMID: 28069357 DOI: 10.1016/j.xphs.2016.12.014
Source DB: PubMed Journal: J Pharm Sci ISSN: 0022-3549 Impact factor: 3.534