Supervisory Control System for Monitoring a Pharmaceutical Hot Melt Extrusion Process
| Autor: | Patrick Wahl, Daniel M. Koller, Barbara Kavsek, José C. Menezes, Daniel Markl, Kjell Francois, Johannes Khinast, Eva Roblegg |
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| Rok vydání: | 2013 |
| Předmět: |
Hot Temperature
Spectroscopy Near-Infrared Ecology Computer science business.industry Chemistry Pharmaceutical Process analytical technology Continuous monitoring Process (computing) Univariate Pharmaceutical Science Context (language use) General Medicine Aquatic Science Quality by Design Supervisory control Drug Discovery Pharmaceutical manufacturing Process engineering business Agronomy and Crop Science Software Ecology Evolution Behavior and Systematics Research Article |
| Zdroj: | AAPS PharmSciTech. 14:1034-1044 |
| ISSN: | 1530-9932 |
| DOI: | 10.1208/s12249-013-9992-7 |
| Popis: | Continuous pharmaceutical manufacturing processes are of increased industrial interest and require uni- and multivariate Process Analytical Technology (PAT) data from different unit operations to be aligned and explored within the Quality by Design (QbD) context. Real-time pharmaceutical process verification is accomplished by monitoring univariate (temperature, pressure, etc.) and multivariate (spectra, images, etc.) process parameters and quality attributes, to provide an accurate state estimation of the process, required for advanced control strategies. This paper describes the development and use of such tools for a continuous hot melt extrusion (HME) process, monitored with generic sensors and a near-infrared (NIR) spectrometer in real-time, using SIPAT (Siemens platform to collect, display, and extract process information) and additional components developed as needed. The IT architecture of such a monitoring procedure based on uni- and multivariate sensor systems and their integration in SIPAT is shown. SIPAT aligned spectra from the extrudate (in the die section) with univariate measurements (screw speed, barrel temperatures, material pressure, etc.). A multivariate supervisory quality control strategy was developed for the process to monitor the hot melt extrusion process on the basis of principal component analysis (PCA) of the NIR spectra. Monitoring the first principal component and the time-aligned reference feed rate enables the determination of the residence time in real-time. |
| Databáze: | OpenAIRE |
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