Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9724
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Main Title: Adaptive optimal operation of a parallel robotic liquid handling station
Author(s): Barz, Tilman
Sommer, Andreas
Wilms, Terrance
Neubauer, Peter
Cruz-Bournazou, Mariano Nicolas
Type: Article
Language Code: en
Abstract: Results are presented from the optimal operation of a fully automated robotic liquid handling station where parallel experiments are performed for calibrating a kinetic fermentation model. To increase the robustness against uncertainties and/or wrong assumptions about the parameter values, an iterative calibration and experiment design approach is adopted. Its implementation yields a stepwise reduction of parameter uncertainties together with an adaptive redesign of reactor feeding strategies whenever new measurement information is available. The case study considers the adaptive optimal design of 4 parallel fed-batch strategies implemented in 8 mini-bioreactors. Details are given on the size and complexity of the problem and the challenges related to calibration of over-parameterized models and scarce and non-informative measurement data. It is shown how methods for parameter identifiability analysis and numerical regularization can be used for monitoring the progress of the experimental campaigns in terms of generated information regarding parameters and selection of the best fitting parameter subset.
URI: https://depositonce.tu-berlin.de/handle/11303/10829
http://dx.doi.org/10.14279/depositonce-9724
Issue Date: 3-May-2018
Date Available: 25-Feb-2020
DDC Class: 660 Chemische Verfahrenstechnik
Subject(s): parallel robotic liquid handling station
E. coli kinetic model
optimal experimental design for model calibration
adaptive input design
identifiability
ill-conditioning analysis
Sponsor/Funder: BMBF, 02PJ1150, Verbundprojekt: Plattformtechnologien für automatisierte Bioprozessentwicklung (AutoBio); Teilprojekt: Automatisierte Bioprozessentwicklung am Beispiel von neuen Nukleosidphosphorylasen
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: IFAC-PapersOnLine
Publisher: International Federation of Automatic Control (IFAC) ; Elsevier
Publisher Place: Frankfurt ; München [u.a.]
Volume: 51
Issue: 2
Publisher DOI: 10.1016/j.ifacol.2018.04.006
Page Start: 765
Page End: 770
EISSN: 2405-8963
Appears in Collections:FG Mess- und Regelungstechnik » Publications
FG Bioverfahrenstechnik » Publications

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