Binary separation control in preparative gradient chromatography using iterative learning control

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 reten...

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Bibliographic Details
Main Authors: Andersson, N. (Author), Espinoza, D. (Author), Nilsson, B. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02858nam a2200445Ia 4500
001 10.1016-j.chroma.2022.463078
008 220706s2022 CNT 000 0 und d
020 |a 00219673 (ISSN) 
245 1 0 |a Binary separation control in preparative gradient chromatography using iterative learning control 
260 0 |b Elsevier B.V.  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.chroma.2022.463078 
520 3 |a 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. © 2022 
650 0 4 |a Binary separation 
650 0 4 |a Biopharmaceuticals 
650 0 4 |a Control strategies 
650 0 4 |a Controllers 
650 0 4 |a Feed-forward control 
650 0 4 |a Feed-forward control 
650 0 4 |a Ion exchange 
650 0 4 |a Ion-exchange 
650 0 4 |a Ions 
650 0 4 |a Iterative learning control 
650 0 4 |a Iterative learning control 
650 0 4 |a Iterative methods 
650 0 4 |a Learning algorithms 
650 0 4 |a Model based controls 
650 0 4 |a Model-based control 
650 0 4 |a Preparative chromatography 
650 0 4 |a Preparative chromatography 
650 0 4 |a Preparative gradient chromatography 
650 0 4 |a Purification 
650 0 4 |a Separation 
650 0 4 |a Separation control 
650 0 4 |a Separation control 
650 0 4 |a Setpoints 
650 0 4 |a Two term control systems 
700 1 0 |a Andersson, N.  |e author 
700 1 0 |a Espinoza, D.  |e author 
700 1 0 |a Nilsson, B.  |e author 
773 |t Journal of Chromatography A