Robotic Platform for Parallelized Cultivation and Monitoring of Microbial Growth Parameters in Microwell Plates
| dc.contributor.author | Knepper, Andreas | |
| dc.contributor.author | Heiser, Michael | |
| dc.contributor.author | Glauche, Florian | |
| dc.contributor.author | Neubauer, Peter | |
| dc.date.accessioned | 2019-01-08T17:40:05Z | |
| dc.date.available | 2019-01-08T17:40:05Z | |
| dc.date.issued | 2014 | |
| dc.description | Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich. | de |
| dc.description | This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively. | en |
| dc.description.abstract | The enormous variation possibilities of bioprocesses challenge process development to fix a commercial process with respect to costs and time. Although some cultivation systems and some devices for unit operations combine the latest technology on miniaturization, parallelization, and sensing, the degree of automation in upstream and downstream bioprocess development is still limited to single steps. We aim to face this challenge by an interdisciplinary approach to significantly shorten development times and costs. As a first step, we scaled down analytical assays to the microliter scale and created automated procedures for starting the cultivation and monitoring the optical density (OD), pH, concentrations of glucose and acetate in the culture medium, and product formation in fed-batch cultures in the 96-well format. Then, the separate measurements of pH, OD, and concentrations of acetate and glucose were combined to one method. This method enables automated process monitoring at dedicated intervals (e.g., also during the night). By this approach, we managed to increase the information content of cultivations in 96-microwell plates, thus turning them into a suitable tool for high-throughput bioprocess development. Here, we present the flowcharts as well as cultivation data of our automation approach. | en |
| dc.identifier.eissn | 1540-2452 | |
| dc.identifier.issn | 2211-0682 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/8886 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-8015 | |
| dc.language.iso | en | |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | de |
| dc.subject.other | laboratory automation | en |
| dc.subject.other | consistent bioprocess development | en |
| dc.subject.other | high throughput | en |
| dc.subject.other | scale-up | en |
| dc.subject.other | scale-down | en |
| dc.subject.other | monitoring | en |
| dc.subject.other | microliter scale | en |
| dc.subject.other | assays | en |
| dc.subject.other | screening | en |
| dc.title | Robotic Platform for Parallelized Cultivation and Monitoring of Microbial Growth Parameters in Microwell Plates | en |
| dc.type | Article | en |
| dc.type.version | publishedVersion | en |
| dcterms.bibliographicCitation.doi | 10.1177/2211068214547231 | |
| dcterms.bibliographicCitation.issue | 6 | |
| dcterms.bibliographicCitation.journaltitle | Journal of Laboratory Automation | en |
| dcterms.bibliographicCitation.originalpublishername | SAGE Publications | en |
| dcterms.bibliographicCitation.originalpublisherplace | Washington, DC | en |
| dcterms.bibliographicCitation.pageend | 601 | |
| dcterms.bibliographicCitation.pagestart | 593 | |
| dcterms.bibliographicCitation.volume | 19 | |
| tub.accessrights.dnb | domain | |
| 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 | de |
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