Binary separation control in preparative gradient chromatography using iterative learning control
Espinoza, Daniel LU ; Andersson, Niklas LU
and Nilsson, Bernt
LU
(2022)
In Journal of chromatography. A
1673.
- Abstract
- Purification of biopharmaceuticals has shifted toward continuous and integrated processes, in turn bringing along a need for monitoring and control to maintain a desired separation between the target pharmaceutical and any impurities it may carry. In this study, a cycle-to-cycle control of the retention volumes of two compounds in a chromatographic, ion exchange purification step was developed, allowing the process to maintain the desired retention volumes in the separation. The controller made use of a model-based, multivariate iterative learning control (ILC) algorithm that used a quadratic-criterion objective function for optimal set point control, along with feed-forward control based on direct model inversion for preemptive control of... (More)
- Purification of biopharmaceuticals has shifted toward continuous and integrated processes, in turn bringing along a need for monitoring and control to maintain a desired separation between the target pharmaceutical and any impurities it may carry. In this study, a cycle-to-cycle control of the retention volumes of two compounds in a chromatographic, ion exchange purification step was developed, allowing the process to maintain the desired retention volumes in the separation. The controller made use of a model-based, multivariate iterative learning control (ILC) algorithm that used a quadratic-criterion objective function for optimal set point control, along with feed-forward control based on direct model inversion for preemptive control of set point changes. The model was calibrated using 3 experiments, allowing for fast setup. The controller was tested by introducing three different disturbances to a sequence of otherwise identical ion exchange separation processes: a change in the salt concentration of the elution buffer, a change in set point, and a change in the pH of the elution buffer. It was capable of correcting for all disturbances within at most 3 cycles, proving its efficacy. The successful application of ILC for separation control in biopharmaceutical purification paves the way for the development of further ILC-based control strategies within the field, as well as combination with other control strategies. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1da556cb-209f-4e19-a3a9-81427d0d4b3b
- author
- Espinoza, Daniel
LU
; Andersson, Niklas
LU
and Nilsson, Bernt
LU
- organization
- publishing date
- 2022-06-21
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Preparative chromatography, Ion-exchange, Separation control, Iterative learning control, Feed-forward control, Model-based control
- in
- Journal of chromatography. A
- volume
- 1673
- article number
- 463078
- pages
- 12 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85129237374
- pmid:35512504
- ISSN
- 1873-3778
- DOI
- 10.1016/j.chroma.2022.463078
- language
- English
- LU publication?
- yes
- id
- 1da556cb-209f-4e19-a3a9-81427d0d4b3b
- date added to LUP
- 2022-05-02 17:09:17
- date last changed
- 2023-12-19 18:48:09
@article{1da556cb-209f-4e19-a3a9-81427d0d4b3b,
abstract = {{Purification of biopharmaceuticals has shifted toward continuous and integrated processes, in turn bringing along a need for monitoring and control to maintain a desired separation between the target pharmaceutical and any impurities it may carry. In this study, a cycle-to-cycle control of the retention volumes of two compounds in a chromatographic, ion exchange purification step was developed, allowing the process to maintain the desired retention volumes in the separation. The controller made use of a model-based, multivariate iterative learning control (ILC) algorithm that used a quadratic-criterion objective function for optimal set point control, along with feed-forward control based on direct model inversion for preemptive control of set point changes. The model was calibrated using 3 experiments, allowing for fast setup. The controller was tested by introducing three different disturbances to a sequence of otherwise identical ion exchange separation processes: a change in the salt concentration of the elution buffer, a change in set point, and a change in the pH of the elution buffer. It was capable of correcting for all disturbances within at most 3 cycles, proving its efficacy. The successful application of ILC for separation control in biopharmaceutical purification paves the way for the development of further ILC-based control strategies within the field, as well as combination with other control strategies.}},
author = {{Espinoza, Daniel and Andersson, Niklas and Nilsson, Bernt}},
issn = {{1873-3778}},
keywords = {{Preparative chromatography; Ion-exchange; Separation control; Iterative learning control; Feed-forward control; Model-based control}},
language = {{eng}},
month = {{06}},
publisher = {{Elsevier}},
series = {{Journal of chromatography. A}},
title = {{Binary separation control in preparative gradient chromatography using iterative learning control}},
url = {{http://dx.doi.org/10.1016/j.chroma.2022.463078}},
doi = {{10.1016/j.chroma.2022.463078}},
volume = {{1673}},
year = {{2022}},
}