Designing robust preparative purification processes with high performance
(2008) In Chemical Engineering & Technology 31(6). p.875-882- Abstract
- In the production of pharmaceutical drugs, a large part of the production costs stem from the downstream processing and the chromatographic purifications required. In order to reduce purification costs the process performance must be increased, which means that the processes need to be less robust since robustness comes with the price of lower process performance, and thus, higher production costs. It is difficult to find a good estimate of the robustness of a process experimentally, and therefore, the pharmaceutical industry has been forced to design processes to be very robust. This work presents a model-based method for optimizing purification processes both with regard to performance and robustness. A model of chromatographic processes... (More)
- In the production of pharmaceutical drugs, a large part of the production costs stem from the downstream processing and the chromatographic purifications required. In order to reduce purification costs the process performance must be increased, which means that the processes need to be less robust since robustness comes with the price of lower process performance, and thus, higher production costs. It is difficult to find a good estimate of the robustness of a process experimentally, and therefore, the pharmaceutical industry has been forced to design processes to be very robust. This work presents a model-based method for optimizing purification processes both with regard to performance and robustness. A model of chromatographic processes and methods of calibration are presented. The model is then used to determine the operating conditions with highest performance when robustness is not taken into account. With this as a starting point, the process is then optimized for higher robustness and lower probability of batch failure. The purification of Immunoglobulin G through ion exchange chromatography is used to demonstrate the method. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1187077
- author
- Degerman, Marcus LU ; Jakobsson, Niklas LU and Nilsson, Bernt LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- robustness, purification, modeling, optimization
- in
- Chemical Engineering & Technology
- volume
- 31
- issue
- 6
- pages
- 875 - 882
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000257036100008
- scopus:46049094400
- ISSN
- 1521-4125
- DOI
- 10.1002/ceat.200800097
- language
- English
- LU publication?
- yes
- id
- 5340287d-4208-4aae-8a9d-f901c25482ee (old id 1187077)
- date added to LUP
- 2016-04-01 12:04:51
- date last changed
- 2023-11-11 12:11:32
@article{5340287d-4208-4aae-8a9d-f901c25482ee,
abstract = {{In the production of pharmaceutical drugs, a large part of the production costs stem from the downstream processing and the chromatographic purifications required. In order to reduce purification costs the process performance must be increased, which means that the processes need to be less robust since robustness comes with the price of lower process performance, and thus, higher production costs. It is difficult to find a good estimate of the robustness of a process experimentally, and therefore, the pharmaceutical industry has been forced to design processes to be very robust. This work presents a model-based method for optimizing purification processes both with regard to performance and robustness. A model of chromatographic processes and methods of calibration are presented. The model is then used to determine the operating conditions with highest performance when robustness is not taken into account. With this as a starting point, the process is then optimized for higher robustness and lower probability of batch failure. The purification of Immunoglobulin G through ion exchange chromatography is used to demonstrate the method.}},
author = {{Degerman, Marcus and Jakobsson, Niklas and Nilsson, Bernt}},
issn = {{1521-4125}},
keywords = {{robustness; purification; modeling; optimization}},
language = {{eng}},
number = {{6}},
pages = {{875--882}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Chemical Engineering & Technology}},
title = {{Designing robust preparative purification processes with high performance}},
url = {{http://dx.doi.org/10.1002/ceat.200800097}},
doi = {{10.1002/ceat.200800097}},
volume = {{31}},
year = {{2008}},
}