Livrables
The results of the transferability of models developed using MBR to apply in STR are obtained. The conditions and procedures how to transfer are determined. Under which conditions and how models obtained by MBR can be used in STR.
Off-line glycosylation/titre assays after sample purification/preparation on fluidic platformDifferent glycan assay formats will be tested for integration into microfluidic platform.
Mechanistic models with different complexity levels related to their use (description/soft sensor/control)Mechanistic models will be derived from the experimental data and obtained through ordinary differential equation systems to describe the component concentration evolutions with respect to a kinetics and b transfersdilutions The general model complexity related to the number of considered pseudobioreactions will be based on the physical knowledge while the parameters will be identified by a dedicated identification procedure validated with the datasets
Multivariable predictive robust controllers of the metabolitesIn accordance with available online measurements from hardware and software sensors a robust minimax nonlinear model predictive control strategy Robust NMPC will be developed to control the main metabolites ie to respect a priori optimal metabolite levels Process optimality will be described by the nonlinear constrained problem solved by the NMPController
Spectrophotometric method decision-diagram for specification of best methodSpectrophotometric method decisiondiagram for specification of best method Raman NIR MIR 2D fluorescence or wavelength combinations for specific applications
Data-driven models with different complexity levels related to their use (description/soft sensor/control)Data-driven models will be derived by applying MLPCA to the datasets to determine the data-driven required number of pseudo-bioreactions. In a second step, a decision on the kinetic structure (grey-box vs black-box) will be taken with respect to the data content. Eventually, an adapted identification procedure will be applied and validated with the datasets.
Software sensors using the previously obtained modelsA general observability mapping will be determined based on the previously obtained models from D8.1 and D8.2. Necessary on-line measurements will be selected and software sensors will be derived from the models and these measurements. First off-line validations of the resulting software sensors will be achieved and used as basis for further on-line validations using closed-loop controllers.
Procedures for model maintenance for small changes of process conditions are defined; conditions and methods for recalibration of chemometric models are determined as well as procedures which assess the chemometric models with respect to their prediction ability to validate or disprove their further applicability.
Algorithms to reduce measurement effort using model-based calibration (MBR)Data driven modelling will be combined with process models to reduce the measurement effort necessary for the calibration procedure.
The best modeling methodology is determined (such as PCR, PLS or neural network, support vector regression) and can be applied by the partners
Spectral pre-processing procedures (such as outlier detection, noise reduction and smoothing) are implementedThe algorithms of outlier detection, noise reduction and smoothing are implemented and validated. Furthermore preprocessing procedures like deviation-, distance- and density-based approaches are implemented in the evaluation program.
Publications
Auteurs:
van der Burg, D., Josefsson, L., Emmer, Å. and Sänger–van de Griend, C.E.
Publié dans:
TrAC Trends in Analytical Chemistry, 2023, Page(s) 116975, ISSN 0165-9936
Éditeur:
Elsevier BV
DOI:
10.1016/j.trac.2023.116975
Auteurs:
Babor, M.; Paquet-Durand, O.; Berg, C.; Büchs, J.; Hitzmann, B.
Publié dans:
Fermentation, Numéro 9, 2023, Page(s) 95, ISSN 2311-5637
Éditeur:
Basel : MDPI
DOI:
10.3390/fermentation9020095
Auteurs:
van der Burg, D., Wätzig, H., Sänger‐van de Griend, C. E.
Publié dans:
Journal of Analytical Methods in Chemistry, Numéro 2819855, 2022, ISSN 2090-8873
Éditeur:
Hindawi
DOI:
10.1155/2022/2819855
Auteurs:
Ihling N, Munkler LP, Paul R, Berg C, Reichenbächer B, Kadisch M, Lang D, Büchs J.
Publié dans:
Biotechnology journal, Numéro 17(8), 2022, Page(s) 2100677, ISSN 1860-7314
Éditeur:
Wiley-Blackwell
DOI:
10.1002/biot.202100677
Auteurs:
S. Mikkonen, L. Josefsson, M. E.-L. Mäkinen, V. Chotteau, Å. Emmer
Publié dans:
Biotechnology Journal, Numéro 17, 2022, Page(s) 2100325, ISSN 1860-7314
Éditeur:
Wiley-Blackwell
DOI:
10.1002/biot.202100325
Auteurs:
Schwarz, H., Mäkinen, M.E., Castan, A. and Chotteau, V., 2022.
Publié dans:
Biochemical Engineering Journal, Numéro 182, 2022, Page(s) 108426, ISSN 1873-295X
Éditeur:
Elsevier
DOI:
10.1016/j.bej.2022.108426
Auteurs:
Ihling N, Munkler LP, Paul R, Lang D, Büchs J
Publié dans:
Environmental Sciences Europe, Numéro 34(1), 2022, Page(s) 37, ISSN 2190-4715
Éditeur:
Berlin ; Heidelberg : Springer
DOI:
10.1186/s12302-022-00673-5
Auteurs:
Berg C, Ihling N, Finger M, Paquet-Durand O, Hitzmann B, Büchs J.
Publié dans:
Bioengineering, Numéro 9(9), 2022, Page(s) 438, ISSN 2306-5354
Éditeur:
Basel : MDPI
DOI:
10.3390/bioengineering9090438
Auteurs:
L. Dewasme, M. Mäkinen, V. Chotteau
Publié dans:
Computers and Chemical Engineering, Numéro 171, 2023, Page(s) 108164, ISSN 0098-1354
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.compchemeng.2023.108164
Auteurs:
Saara Mikkonen, Åsa Emmer
Publié dans:
ELECTROPHORESIS, 2021, ISSN 0173-0835
Éditeur:
John Wiley & Sons Ltd.
DOI:
10.1002/elps.202100122
Auteurs:
Yousefi-Darani, A., Paquet-Durand, O., Von Wrochem, A., Classen, J., Tränkle, J., Mertens, M., Snelders, J., Chotteau, V., Mäkinen, M., Handl, A., Kadisch, M., Lang, D., Dumas, P. and Hitzmann, B.
Publié dans:
Sensors, Numéro 22(15), 2022, Page(s) 5581, ISSN 1424-8220
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s22155581
Auteurs:
Ihling N, Munkler LP, Berg C, Reichenbächer B, Wirth J, Lang D, Wagner R, Büchs J.
Publié dans:
Frontiers in Bioengineering and Biotechnology, Numéro 9:725498, 2022, ISSN 2296-4185
Éditeur:
Frontiers Media
DOI:
10.3389/fbioe.2021.725498
Auteurs:
van der Burg, D., Josefsson, L., Mikkonen, S., Chotteau, V., Emmer, Å., Wätzig, H., Sänger‐van de Griend, C. E.
Publié dans:
ELECTROPHORESIS, Numéro 43, 2021, Page(s) 922-929, ISSN 1522-2683
Éditeur:
Wiley-VCH GmbH, Weinheim
DOI:
10.1002/elps.202100213
Auteurs:
Inês F Pinto, Saara Mikkonen, Leila Josefsson, Meeri E-L Mäkinen, Ruben RG Soares, Aman Russom, Åsa Emmer, Veronique Chotteau
Publié dans:
Current Opinion in Biotechnology, Numéro 71, 2021, Page(s) 55-64, ISSN 0958-1669
Éditeur:
Elsevier BV
DOI:
10.1016/j.copbio.2021.06.018
Auteurs:
Berg, Christoph ; Herbst, Laura Marie ; Gremm, Lisa ; Ihling, Nina ; Paquet-Durand, Olivier ; Hitzmann, Bernd; Büchs, Jochen
Publié dans:
Journal of biological engineering, Numéro 17, 2023, Page(s) 12, ISSN 1754-1611
Éditeur:
BioMed Central
DOI:
10.1186/s13036-023-00332-0
Auteurs:
Inês F. Pinto, Ruben R. G. Soares, Meeri E.-L. Mäkinen, Veronique Chotteau, Aman Russom
Publié dans:
ACS Sensors, Numéro 6/3, 2021, Page(s) 842-851, ISSN 2379-3694
Éditeur:
ACS Publications
DOI:
10.1021/acssensors.0c01884
Auteurs:
van der Burg, D., Wätzig, H., Sänger‐van de Griend, C. E.
Publié dans:
ELECTROPHORESIS, 2022, ISSN 1522-2683
Éditeur:
Wiley-VCH GmbH, Weinheim
DOI:
10.1002/elps.202200144
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