Modeling and Control of Continuous Countercurrent Tangential Chromatography
A model-based control system is developed for continuous countercurrent tangential chromatography. The mechanistic model is formulated as a distributed parameter system. The computational cost of the mechanistic model is reduced by reformulating the partial differential equations as ordinary differe...
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| Published in | Proceedings of the American Control Conference pp. 4506 - 4511 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
AACC
10.07.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2378-5861 |
| DOI | 10.23919/ACC60939.2024.10644301 |
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| Abstract | A model-based control system is developed for continuous countercurrent tangential chromatography. The mechanistic model is formulated as a distributed parameter system. The computational cost of the mechanistic model is reduced by reformulating the partial differential equations as ordinary differential equations via the method of characteristics. The model parameters are fit to experimental data for the capture of a monoclonal antibody from clarified bioreactor material. An control problem is formulated for the objective of maximizing system productivity subject to a constraint on the protein recovery, and analyzed to provide insight into the process parameters that strongly affect the closed-loop performance. |
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| AbstractList | A model-based control system is developed for continuous countercurrent tangential chromatography. The mechanistic model is formulated as a distributed parameter system. The computational cost of the mechanistic model is reduced by reformulating the partial differential equations as ordinary differential equations via the method of characteristics. The model parameters are fit to experimental data for the capture of a monoclonal antibody from clarified bioreactor material. An control problem is formulated for the objective of maximizing system productivity subject to a constraint on the protein recovery, and analyzed to provide insight into the process parameters that strongly affect the closed-loop performance. |
| Author | Lu, Amos E. Dighe, Anish Braatz, Richard D. |
| Author_xml | – sequence: 1 givenname: Amos E. surname: Lu fullname: Lu, Amos E. organization: Massachusetts Institute of Technology,Cambridge,MA,02139 – sequence: 2 givenname: Anish surname: Dighe fullname: Dighe, Anish organization: Massachusetts Institute of Technology,Cambridge,MA,02139 – sequence: 3 givenname: Richard D. surname: Braatz fullname: Braatz, Richard D. email: braatz@mit.edu organization: Massachusetts Institute of Technology,Cambridge,MA,02139 |
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| SubjectTerms | Biological system modeling Computational modeling Ordinary differential equations Partial differential equations Productivity Proteins Sensitivity |
| Title | Modeling and Control of Continuous Countercurrent Tangential Chromatography |
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