Multi-flowrate Optimization of the Loading Phase of a Preparative Chromatographic Separation
(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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- author
- Sellberg, Anton LU ; Nolin, Mikael LU ; Löfgren, Anton LU ; Andersson, Niklas LU and Nilsson, Bernt LU
- organization
- publishing date
- 2018-01-01
- 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
- Elsevier
- 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
- 2023-10-06 08:01:21
@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}}, booktitle = {{Computer Aided Chemical Engineering}}, isbn = {{9780444642356}}, issn = {{1570-7946}}, keywords = {{Chromatography; Collocation; Modelling; Optimization; Protein}}, language = {{eng}}, month = {{01}}, pages = {{1619--1624}}, publisher = {{Elsevier}}, 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}}, doi = {{10.1016/B978-0-444-64235-6.50282-5}}, volume = {{43}}, year = {{2018}}, }