Online optimal experimental re-design in robotic parallel fed-batch cultivation facilities
| dc.contributor.author | Cruz Bournazou, Mariano Nicolas | |
| dc.contributor.author | Barz, Tilman | |
| dc.contributor.author | Nickel, D. B. | |
| dc.contributor.author | Lopez Cárdenas, Diana Carolina | |
| dc.contributor.author | Glauche, Florian | |
| dc.contributor.author | Knepper, Andreas | |
| dc.contributor.author | Neubauer, Peter | |
| dc.date.accessioned | 2022-05-11T09:08:20Z | |
| dc.date.available | 2022-05-11T09:08:20Z | |
| dc.date.issued | 2016-10-03 | |
| dc.description.abstract | We present an integrated framework for the online optimal experimental re-design applied to parallel nonlinear dynamic processes that aims to precisely estimate the parameter set of macro kinetic growth models with minimal experimental effort. This provides a systematic solution for rapid validation of a specific model to new strains, mutants, or products. In biosciences, this is especially important as model identification is a long and laborious process which is continuing to limit the use of mathematical modeling in this field. The strength of this approach is demonstrated by fitting a macro-kinetic differential equation model for Escherichia coli fed-batch processes after 6 h of cultivation. The system includes two fully-automated liquid handling robots; one containing eight mini-bioreactors and another used for automated at-line analyses, which allows for the immediate use of the available data in the modeling environment. As a result, the experiment can be continually re-designed while the cultivations are running using the information generated by periodical parameter estimations. The advantages of an online re-computation of the optimal experiment are proven by a 50-fold lower average coefficient of variation on the parameter estimates compared to the sequential method (4.83% instead of 235.86%). The success obtained in such a complex system is a further step towards a more efficient computer aided bioprocess development. Biotechnol. Bioeng. 2017;114: 610–619. © 2016 Wiley Periodicals, Inc. | en |
| dc.description.sponsorship | BMBF, 02PJ1150, Verbundprojekt: Plattformtechnologien für automatisierte Bioprozessentwicklung (AutoBio); Teilprojekt: Automatisierte Bioprozessentwicklung am Beispiel von neuen Nukleosidphosphorylasen | en |
| dc.identifier.eissn | 1097-0290 | |
| dc.identifier.issn | 0006-3592 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/16866 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-15644 | |
| dc.language.iso | en | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.ddc | 570 Biowissenschaften; Biologie | de |
| dc.subject.other | E. colli | en |
| dc.subject.other | fed-batch process | en |
| dc.subject.other | online Optimal Experimental re-design | en |
| dc.subject.other | macro-kinetic growth model | en |
| dc.subject.other | High Throughput Bioprocess Development | en |
| dc.subject.other | parallel mini bioreactors | en |
| dc.subject.other | Parameter Estimation | en |
| dc.title | Online optimal experimental re-design in robotic parallel fed-batch cultivation facilities | en |
| dc.type | Article | en |
| dc.type.version | acceptedVersion | en |
| dcterms.bibliographicCitation.doi | 10.1002/bit.26192 | en |
| dcterms.bibliographicCitation.issue | 3 | en |
| dcterms.bibliographicCitation.journaltitle | Biotechnology & bioengineering | en |
| dcterms.bibliographicCitation.originalpublishername | Wiley | en |
| dcterms.bibliographicCitation.originalpublisherplace | New York, NY | en |
| dcterms.bibliographicCitation.pageend | 619 | en |
| dcterms.bibliographicCitation.pagestart | 610 | en |
| dcterms.bibliographicCitation.volume | 114 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 3 Prozesswissenschaften::Inst. Biotechnologie::FG Bioverfahrenstechnik | de |
| tub.affiliation.faculty | Fak. 3 Prozesswissenschaften | de |
| tub.affiliation.group | FG Bioverfahrenstechnik | de |
| tub.affiliation.institute | Inst. Biotechnologie | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |