Manufacturing Vaccines: An Illustration of Using PAT Tools for Controlling the Cultivation of Bordetella pertussis
| Autor: | E.C. Beuvery, L.A. van der Pol, Age K. Smilde, Mathieu Streefland, Henk-Jan Ramaker, E.N.M. van Sprang |
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| Přispěvatelé: | Biosystems Data Analysis (SILS, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Engineering
Bordetella pertussis Bio Process Engineering biology business.industry Process analytical technology biology.organism_classification Industrial and Manufacturing Engineering Data acquisition Biopharmaceutical Process analysis Life Science Biochemical engineering Safety Risk Reliability and Quality business Process engineering VLAG |
| Zdroj: | Quality Engineering, 19(4), 373-384 Quality Engineering, 19(4), 373-384. Taylor and Francis Ltd. Quality Engineering 19 (2007) 4 |
| ISSN: | 0898-2112 |
| Popis: | An illustration of the operational consistency of the upstream part of a biopharmaceutical process is given. For this purpose four batch cultivations of Bordetella pertussis have been executed under identical conditions. The batches have been monitored by means of two fundamentally different process sensors. First, common single channel measurements such as temperature, pH, dissolved oxygen (DO), and flow rates are used and second, the multichannel measurements from the NIR (Near Infrared) analyzer. Because of the fundamental differences between the two types of measurements, two models have been developed to evaluate the operational consistency. The last sensor studied is a typical representative of process analyzers which are described in the PAT (Process Analytical Technology) guidance document issued in 2004 by the American Food and Drug Administration (FDA). Data from both sensors have been evaluated by a multivariate tool for data acquisition. This resulted in two different performance models. Again this approach is characteristic for the implementation of PAT for the manufacture of biopharmaceuticals. With both performance models, we were able to explore the operational consistency of the batches. In addition, the performance models were also able to detect a deviating batch. Further, it was shown that both sensor types gave partly overlapping information since a deviation in the batch profiles of the logged process variables was accompanied by a deviation in the spectral batch profiles. The performance models are valuable tools in developing advanced monitoring and control systems for biopharmaceutical processes. Using such models, advanced knowledge based systems can be developed to detect abnormal situations in an early stage and remove the cause. The procedure of data processing described in this article is relatively new in the biopharmaceutical industry. The NIR analyzer and both performance models presented in this article are clear ingredients for better process understanding and process control, as intended in the FDA's PAT Initiative. This initiative is part of the FDA's strategy of cGMP (current good manufacturing practice) for the 21st century and aims at introducing innovations in both the manufacturing of biopharmaceuticals and the development of new biopharmaceuticals. This study shows the feasibility of two typical PAT tools for controlling the manufacturing of biopharmaceuticals. To the best of our knowledge such feasibility study is not documented up to now in the scientific literature. |
| Databáze: | OpenAIRE |
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