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Process monitoring and evaluation of a continuous pharmaceutical twin-screw granulation and drying process using multivariate data analysis
Contributor(s):: Silva, A. F., Vercruysse, J., Vervaet, C., Remon, J. P., Lopes, J. A., De Beer, T., Sarraguca, M. C.
The present study aims at acquiring an in-depth process knowledge about a twin-screw granulation and fluid bed drying process performed on the commercially available continuous line. Batch Statistical Process Monitoring (BSPM) principles are used to describe and monitor the variables with a...
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Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes
Contributor(s):: De Beer, Thomas, Burggraeve, Anneleen, Fonteyne, Margot, Saerens, Lien, Remon, Jean Paul, Vervaet, Chris;
Within the Process Analytical Technology (PAT) framework, it is of utmost importance to obtain critical process and formulation information during pharmaceutical processing. Process analyzers are the essential PAT tools for real-time process monitoring and control as they supply the data from...
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Laboratory of the future: a modular flow platform with multiple integrated PAT tools for multistep reactions
Contributor(s):: Sagmeister, Peter, Hone, Christopher, Williams, Jason D, Kappe, Oliver
Currently, the monitoring of multistep continuous flow processes by multiple analytical sources is still seen as a resource intensive and specialized activity. In this article, the coupling of a modular microreactor platform with real-time monitoring by inline IR and NMR, in addition to online...
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In-Depth Evaluation of Data Collected During a Continuous Pharmaceutical Manufacturing Process: A Multivariate Statistical Process Monitoring Approach
Contributor(s):: Silva, Ana F., Vercruysse, Jurgen, Vervaet, Chris, Remon, Jean P., Lopes, João A., De Beer, Thomas, Sarraguça, Mafalda C.
The present work presents an in-depth evaluation of continuously collected data during a twin-screw granulation and drying process performed on a continuous manufacturing line. During operation, the continuous line logs 49 univariate process variables, hence generating a large amount of data....