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| Content Provider | Springer Nature Link |
|---|---|
| Author | Hallow, Daniel M. Mudryk, Boguslaw M. Braem, Alan D. Tabora, Jose E. Lyngberg, Olav K. Bergum, James S. Rossa, Lucius T. Tummala, Srinivas |
| Copyright Year | 2010 |
| Abstract | In this case study, we present an approach for employing modeling to help define the design space for a reaction with potential to generate an impurity that could impact the quality of an API. Our approach broadly consisted of (1) evaluating the reaction parameters that can affect the critical impurity level to develop appropriate assumptions for a mechanistic model, (2) developing and evaluating a mechanistic model to predict the formation of the critical impurity, (3) defining a design space based on the model output to reduce in practice the acceptable parameter space to a practical number of parameters, and (4) verifying the design space through experimental testing. This work resulted in a verified design space that can be practically employed and includes wide parameters ranges for manufacturing flexibility. |
| Starting Page | 193 |
| Ending Page | 203 |
| Page Count | 11 |
| File Format | |
| ISSN | 18725120 |
| Journal | Journal of Pharmaceutical Innovation |
| Volume Number | 5 |
| Issue Number | 4 |
| e-ISSN | 19398042 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2010-11-19 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Quality by Design Design space Mechanistic modeling Empirical modeling Verification Biochemical Engineering Biotechnology Industrial and Production Engineering Pharmacology/Toxicology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Drug Discovery Pharmaceutical Science |
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