Implementation of a Fully Automated Microbial Cultivation Platform for Strain and Process Screening
Autor: | Johanna Jarmer, Nils H. Janzen, Gerald Striedner, Daniela Reinisch, Sandra Abad, Martin Voigtmann |
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Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Computer science Process (engineering) 01 natural sciences Applied Microbiology and Biotechnology Bioreactors 010608 biotechnology Escherichia coli Biomass Bioprocess Throughput (business) Flexibility (engineering) business.industry Scale (chemistry) 010401 analytical chemistry General Medicine Hydrogen-Ion Concentration Automation High-Throughput Screening Assays 0104 chemical sciences Batch Cell Culture Techniques Scalability Computer data storage Molecular Medicine Biochemical engineering business |
Zdroj: | Biotechnology Journal. 14:1800625 |
ISSN: | 1860-7314 1860-6768 |
DOI: | 10.1002/biot.201800625 |
Popis: | Advances in molecular biotechnology have resulted in the generation of numerous potential production strains. Because every strain can be screened under various process conditions, the number of potential cultivations is multiplied. Exploiting this potential without increasing the associated timelines requires a cultivation platform that offers increased throughput and flexibility to perform various bioprocess screening protocols. Currently, there is no commercially available fully automated cultivation platform that can operate multiple microbial fed-batch processes, including at-line sampling, deep freezer off-line sample storage, and complete data handling. To enable scalable high-throughput early-stage microbial bioprocess development, a commercially available microbioreactor system and a laboratory robot are combined to develop a fully automated cultivation platform. By making numerous modifications, as well as supplementation with custom-built hardware and software, fully automated milliliter-scale microbial fed-batch cultivation, sample handling, and data storage are realized. The initial results of cultivations with two different expression systems and three different process conditions are compared using 5 L scale benchmark cultivations, which provide identical rankings of expression systems and process conditions. Thus, fully automated high-throughput cultivation, including automated centralized data storage to significantly accelerate the identification of the optimal expression systems and process conditions, offers the potential for automated early-stage bioprocess development. |
Databáze: | OpenAIRE |
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