Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | e60577 |
| Fachzeitschrift | Journal of visualized experiments |
| Jahrgang | 2020 |
| Ausgabenummer | 159 |
| Publikationsstatus | Veröffentlicht - 18 Mai 2020 |
Abstract
Optimization of bioprocesses to increase the yield of desired products is of importance in the biopharmaceutical industry. This can be achieved by strain selection and by developing bioprocess parameters. Shake flasks have been used for this purpose. They, however, lack the capability to control the process parameters such as pH and dissolved oxygen (DO). This limitation can be overcome with the help of an automated micro-bioreactor. These bioreactors mimic cultivation at a larger scale. One of the major advantages of this system is the integration of the Design of Experiment (DOE) in the software. This integration enables establishing a design where multiple process parameters can be varied simultaneously. The critical process parameters and optimum bioprocess conditions can be analyzed within the software. The focus of the work presented here is to introduce the user to the steps involved in process design in the software and incorporation of the DOE within the cultivation run.
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in: Journal of visualized experiments, Jahrgang 2020, Nr. 159, e60577, 18.05.2020.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Process optimization using high throughput automated micro-bioreactors in chinese hamster ovary cell cultivation
AU - Nagraik, Tamanna
AU - Salcedo, Alina Gonzalez
AU - Solle, Dörte
AU - Scheper, Thomas
N1 - Funding information: The authors would like to thank the Bundesministerium für Bildung und Forschung (BMBF), the Federal Ministry of Education and Research, Germany, and the BioProcessing team of Sartorius Stedim Biotech GmbH, Germany, for their support.
PY - 2020/5/18
Y1 - 2020/5/18
N2 - Optimization of bioprocesses to increase the yield of desired products is of importance in the biopharmaceutical industry. This can be achieved by strain selection and by developing bioprocess parameters. Shake flasks have been used for this purpose. They, however, lack the capability to control the process parameters such as pH and dissolved oxygen (DO). This limitation can be overcome with the help of an automated micro-bioreactor. These bioreactors mimic cultivation at a larger scale. One of the major advantages of this system is the integration of the Design of Experiment (DOE) in the software. This integration enables establishing a design where multiple process parameters can be varied simultaneously. The critical process parameters and optimum bioprocess conditions can be analyzed within the software. The focus of the work presented here is to introduce the user to the steps involved in process design in the software and incorporation of the DOE within the cultivation run.
AB - Optimization of bioprocesses to increase the yield of desired products is of importance in the biopharmaceutical industry. This can be achieved by strain selection and by developing bioprocess parameters. Shake flasks have been used for this purpose. They, however, lack the capability to control the process parameters such as pH and dissolved oxygen (DO). This limitation can be overcome with the help of an automated micro-bioreactor. These bioreactors mimic cultivation at a larger scale. One of the major advantages of this system is the integration of the Design of Experiment (DOE) in the software. This integration enables establishing a design where multiple process parameters can be varied simultaneously. The critical process parameters and optimum bioprocess conditions can be analyzed within the software. The focus of the work presented here is to introduce the user to the steps involved in process design in the software and incorporation of the DOE within the cultivation run.
KW - Bioengineering
KW - Chinese Hamster ovary cells
KW - Design of Experiment
KW - Issue 159
KW - Micro-bioreactor
KW - Monoclonal antibody
KW - Process optimization
KW - Protein A chromatography
UR - http://www.scopus.com/inward/record.url?scp=85085349974&partnerID=8YFLogxK
U2 - 10.3791/60577
DO - 10.3791/60577
M3 - Article
C2 - 32478715
AN - SCOPUS:85085349974
VL - 2020
JO - Journal of visualized experiments
JF - Journal of visualized experiments
SN - 1940-087X
IS - 159
M1 - e60577
ER -