Literature DB >> 12363363

Adaptive, model-based control by the Open-Loop-Feedback-Optimal (OLFO) controller for the effective fed-batch cultivation of hybridoma cells.

Björn Frahm1, Paul Lane, Hendrik Atzert, Axel Munack, Martin Hoffmann, Volker C Hass, Ralf Pörtner.   

Abstract

Although fed-batch suspension culture of animal cells continues to be of industrial importance for the large scale production of pharmaceutical products, existing control concepts are still insufficient. Changes in cell metabolism during cultivation and between similar cultivations, the complexity of the cell metabolism, and the lack of on-line state variables restrict the transfer of available control strategies established in bioprocess engineering. A process control strategy designed to achieve optimized process control must account for all these difficulties and fit sophisticated requirements toward adaptability and flexibility. The combination of a fed-batch process and an Open-Loop-Feedback-Optimal (OLFO) control provides a new approach for cell culture process control that couples an efficient cultivation concept to a capable process control strategy. The application of an adaptive, model-based OLFO controller to a hybridoma cultivation and experimental results are presented.

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Year:  2002        PMID: 12363363     DOI: 10.1021/bp020035y

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  10 in total

1.  Increasing batch-to-batch reproducibility of CHO-cell cultures using a model predictive control approach.

Authors:  Mathias Aehle; Kaya Bork; Sebastian Schaepe; Artur Kuprijanov; Rüdiger Horstkorte; Rimvydas Simutis; Andreas Lübbert
Journal:  Cytotechnology       Date:  2012-03-27       Impact factor: 2.058

2.  Model-based strategy for cell culture seed train layout verified at lab scale.

Authors:  Simon Kern; Oscar Platas-Barradas; Ralf Pörtner; Björn Frahm
Journal:  Cytotechnology       Date:  2015-03-21       Impact factor: 2.058

3.  Digital Twins for Bioprocess Control Strategy Development and Realisation.

Authors:  Christian Appl; André Moser; Frank Baganz; Volker C Hass
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

4.  Mechanistic Mathematical Models as a Basis for Digital Twins.

Authors:  André Moser; Christian Appl; Simone Brüning; Volker C Hass
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

5.  Digital Twins and Their Role in Model-Assisted Design of Experiments.

Authors:  Kim B Kuchemüller; Ralf Pörtner; Johannes Möller
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

6.  Online automatic tuning and control for fed-batch cultivation.

Authors:  Zita I T A Soons; Gerrit van Straten; Leo A van der Pol; Anton J B van Boxtel
Journal:  Bioprocess Biosyst Eng       Date:  2007-12-21       Impact factor: 3.210

7.  Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed train.

Authors:  Tanja Hernández Rodríguez; Christoph Posch; Ralf Pörtner; Björn Frahm
Journal:  Bioprocess Biosyst Eng       Date:  2020-12-29       Impact factor: 3.210

Review 8.  Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology.

Authors:  Michalis Koutinas; Alexandros Kiparissides; Efstratios N Pistikopoulos; Athanasios Mantalaris
Journal:  Comput Struct Biotechnol J       Date:  2013-03-10       Impact factor: 7.271

9.  Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes.

Authors:  Jens Smiatek; Christoph Clemens; Liliana Montano Herrera; Sabine Arnold; Bettina Knapp; Beate Presser; Alexander Jung; Thomas Wucherpfennig; Erich Bluhmki
Journal:  Biotechnol Rep (Amst)       Date:  2021-05-28

10.  Application of dynamic metabolic flux analysis for process modeling: Robust flux estimation with regularization, confidence bounds, and selection of elementary modes.

Authors:  Lukas Hebing; Tobias Neymann; Sebastian Engell
Journal:  Biotechnol Bioeng       Date:  2020-05-12       Impact factor: 4.530

  10 in total

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