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New Directions in Bioprocess Modeling and Control
If you are a process design, quality control, information systems, or automation engineer in the biopharmaceutical, brewing, or bio-fuel industry, this handy resource will help you define, develop, and apply a virtual plant, model predictive control, first-principle models, neural networks, and multivariate statistical process control. The synergistic knowledge discovery on bench top or pilot plant scale can be ported to industrial scale processes. This learning process is consistent with the intent in the Process Analyzer and Process Control Tools sections of the FDAÂ's Guidance for Industry PAT Â- A Framework for Innovative Pharmaceutical Development, Manufacturing and Quality Assurance.
It states in the Process Analyzer section of the FDAÂ's guidance: Â"For certain applications, sensor-based measurements can provide a useful process signature that may be related to the underlying process steps or transformations. Based on the level of process understanding these signatures may also be useful for the process monitoring, control, and end point determination when these patterns or signatures relate to product and process quality.
Publisher: ISA (September 19, 2006)
Language: English
ISBN-10: 1556179057
ISBN-13: 978-1556179051
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| File Size | 10 megabytes |
| File Type |