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Multi-flowrate Optimization of the Loading Phase of a Preparative Chromatographic Separation

Sellberg, Anton LU ; Nolin, Mikael LU ; Löfgren, Anton LU ; Andersson, Niklas LU and Nilsson, Bernt LU (2018) In Computer Aided Chemical Engineering 43. p.1619-1624
Abstract

This contribution consists of a multi-flow rate optimization method to maximize the key performance indicators, yield, degree of resin utilization and productivity for a chromatographic loading step. The protein adsorption to the resin is modeled using a mechanistic column model with a steric mass action adsorption isotherm. The model was used to optimize the flow rate trajectories and the loading duration by using a simultaneous method where the controls and state variables were discretized using a direct and local collocation method on finite elements in the temporal dimension and a finite volume weighted essentially non-oscillatory scheme in the spatial dimension. The discretized nonlinear program was solved using an interior point... (More)

This contribution consists of a multi-flow rate optimization method to maximize the key performance indicators, yield, degree of resin utilization and productivity for a chromatographic loading step. The protein adsorption to the resin is modeled using a mechanistic column model with a steric mass action adsorption isotherm. The model was used to optimize the flow rate trajectories and the loading duration by using a simultaneous method where the controls and state variables were discretized using a direct and local collocation method on finite elements in the temporal dimension and a finite volume weighted essentially non-oscillatory scheme in the spatial dimension. The discretized nonlinear program was solved using an interior point method. The two and three dimensional pareto fronts for the multi-objective optimization are presented and the multi-flow rate strategy showed considerable improvement in all objectives at different points on the pareto front.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Chromatography, Collocation, Modelling, Optimization, Protein
host publication
Computer Aided Chemical Engineering
series title
Computer Aided Chemical Engineering
volume
43
pages
6 pages
publisher
The Association for the Study of Animal Behaviour / Elsevier B.V.
external identifiers
  • scopus:85049356744
ISSN
1570-7946
ISBN
9780444642356
DOI
10.1016/B978-0-444-64235-6.50282-5
language
English
LU publication?
yes
id
db66d33b-f5ef-46d4-b1e2-9b8921b9297f
date added to LUP
2018-07-17 11:20:56
date last changed
2019-07-19 02:18:27
@inbook{db66d33b-f5ef-46d4-b1e2-9b8921b9297f,
  abstract     = {<p>This contribution consists of a multi-flow rate optimization method to maximize the key performance indicators, yield, degree of resin utilization and productivity for a chromatographic loading step. The protein adsorption to the resin is modeled using a mechanistic column model with a steric mass action adsorption isotherm. The model was used to optimize the flow rate trajectories and the loading duration by using a simultaneous method where the controls and state variables were discretized using a direct and local collocation method on finite elements in the temporal dimension and a finite volume weighted essentially non-oscillatory scheme in the spatial dimension. The discretized nonlinear program was solved using an interior point method. The two and three dimensional pareto fronts for the multi-objective optimization are presented and the multi-flow rate strategy showed considerable improvement in all objectives at different points on the pareto front.</p>},
  author       = {Sellberg, Anton and Nolin, Mikael and Löfgren, Anton and Andersson, Niklas and Nilsson, Bernt},
  isbn         = {9780444642356},
  issn         = {1570-7946},
  keyword      = {Chromatography,Collocation,Modelling,Optimization,Protein},
  language     = {eng},
  month        = {01},
  pages        = {1619--1624},
  publisher    = {The Association for the Study of Animal Behaviour / Elsevier B.V.},
  series       = {Computer Aided Chemical Engineering},
  title        = {Multi-flowrate Optimization of the Loading Phase of a Preparative Chromatographic Separation},
  url          = {http://dx.doi.org/10.1016/B978-0-444-64235-6.50282-5},
  volume       = {43},
  year         = {2018},
}