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Modeling and optimization of preparative reversed-phase liquid chromatography for insulin purification

Degerman, Marcus LU ; Jakobsson, Niklas LU and Nilsson, Bernt LU (2007) In Journal of Chromatography A 1162(1). p.41-49
Abstract
This paper presents a model for reversed-phase purification of insulin from desamido insulin. The system is described by a reaction dispersive model with a competitive Langmuir isotherm. A model building and calibration method is presented and the model's region of validity is defined. The model is calibrated using only two-component experiments on the raw mixture by the inverse method and then experimentally validated. The model is then used to optimize the system's production rate with both purity and yield requirements. The yield requirement is varied between 80 and 95% to study the effect on the production rate and the operating point. The operating points found with the optimization were found outside the model's region of validity,... (More)
This paper presents a model for reversed-phase purification of insulin from desamido insulin. The system is described by a reaction dispersive model with a competitive Langmuir isotherm. A model building and calibration method is presented and the model's region of validity is defined. The model is calibrated using only two-component experiments on the raw mixture by the inverse method and then experimentally validated. The model is then used to optimize the system's production rate with both purity and yield requirements. The yield requirement is varied between 80 and 95% to study the effect on the production rate and the operating point. The operating points found with the optimization were found outside the model's region of validity, but the experimental validation of the operating points shows that the model can be extrapolated to the interesting operating points. (c) 2007 Elsevier B.V. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
downstream processing, model calibration, optimization, modeling, insulin, reversed phase
in
Journal of Chromatography A
volume
1162
issue
1
pages
41 - 49
publisher
Elsevier
external identifiers
  • wos:000249058500006
  • scopus:34547226055
ISSN
0021-9673
DOI
10.1016/j.chroma.2007.02.062
language
English
LU publication?
yes
id
a42d6813-d469-4741-a920-04e1be249f5b (old id 688966)
date added to LUP
2007-12-07 09:14:21
date last changed
2017-01-01 07:05:13
@article{a42d6813-d469-4741-a920-04e1be249f5b,
  abstract     = {This paper presents a model for reversed-phase purification of insulin from desamido insulin. The system is described by a reaction dispersive model with a competitive Langmuir isotherm. A model building and calibration method is presented and the model's region of validity is defined. The model is calibrated using only two-component experiments on the raw mixture by the inverse method and then experimentally validated. The model is then used to optimize the system's production rate with both purity and yield requirements. The yield requirement is varied between 80 and 95% to study the effect on the production rate and the operating point. The operating points found with the optimization were found outside the model's region of validity, but the experimental validation of the operating points shows that the model can be extrapolated to the interesting operating points. (c) 2007 Elsevier B.V. All rights reserved.},
  author       = {Degerman, Marcus and Jakobsson, Niklas and Nilsson, Bernt},
  issn         = {0021-9673},
  keyword      = {downstream processing,model calibration,optimization,modeling,insulin,reversed phase},
  language     = {eng},
  number       = {1},
  pages        = {41--49},
  publisher    = {Elsevier},
  series       = {Journal of Chromatography A},
  title        = {Modeling and optimization of preparative reversed-phase liquid chromatography for insulin purification},
  url          = {http://dx.doi.org/10.1016/j.chroma.2007.02.062},
  volume       = {1162},
  year         = {2007},
}