Microbioreactor Production
Microbioreactor Production - Related Videos
06:24
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Cited by 9 •
2017
This manuscript describes a generic approach for tailor-made design of microbial cultivation media. This is enabled by an iterative workflow combining Kriging-based experimental design and microbioreactor technology for sufficient cultivation throughput, which is supported by lab robotics to increase reliability and speed in liquid handling media preparation.
09:06
Microbioreactor-Based Production of Anchorage-Dependent Mesenchymal Stromal Cells Primed for Acute Respiratory Distress Syndrome
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2025
A protocol is described for microcarrier-microbioreactor production of anchorage-dependent cells as potential cell-based therapies. Targeting a use case of acute respiratory distress syndrome, comparable cell yield and favorable gene expression relative to flask-based process conditions are illustrated. This protocol is extensible to other anchorage-dependent cells and target indications.
08:15
Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells
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Cited by 11 •
2018
A detailed protocol for the concurrent operation of 48 parallel cell cultures under varied conditions in a microbioreactor system is presented. Cell culture process, harvest and subsequent antibody titer analysis are described.
02:51
Monitoring Bacterial Growth in Distinct Media Formulations with an Automated Microbioreactor
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2025
Source: Hemmerich, J., et al. Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology. J. Vis. Exp. (2017).This video demonstrates the use of an automated microbioreactor to monitor bacterial growth and fluorescent protein secretion in response to varying media formulations. A genetically modified bacterium expressing a secretory fluorescent protein is cultured under antibiotic selection and inoculated into nutrient-varied wells. Real-time optical...
10:50
Purification and Analytics of a Monoclonal Antibody from Chinese Hamster Ovary Cells Using an Automated Microbioreactor System
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Cited by 6 •
2019
A detailed protocol for the purification and subsequent analysis of a monoclonal antibody from harvested cell culture fluid (HCCF) of automated microbioreactors has been described. Use of analytics to determine critical quality attributes (CQAs) and maximizing limited sample volume to extract vital information is also presented.
FAQs
The control system maintains cultivation conditions by monitoring variables such as temperature, pH, dissolved oxygen, agitation, aeration, and nutrient delivery. Automated adjustments help keep these parameters within the intended experimental settings while microorganisms or cells grow. Consistent control improves comparisons among experiments and allows researchers to relate changes in conditions to growth or product formation.
Small working volumes reduce the amount of media and biological material required for each experiment, allowing many conditions to be tested in parallel. Researchers can compare strains, media compositions, and process settings under controlled conditions while reducing experimental time and cost. This parallel format helps identify promising combinations before committing resources to larger fermentation or cell-culture runs.
Microbioreactor experiments provide early estimates of growth and productivity under controlled cultivation conditions. By testing process parameters before larger runs, researchers can identify settings that appear promising and reduce uncertainty during subsequent scale-up. The approach does not replace larger systems, but it helps focus later experiments on selected strains, media, and operating conditions.
A typical workflow begins by selecting the strains or cells, media, and cultivation conditions to compare. Researchers then operate parallel microbioreactors with controlled temperature, pH, dissolved oxygen, agitation, aeration, and nutrient delivery while integrated sensors track the process. Results are compared to estimate growth or productivity and select conditions for further development.
Researchers can screen biological inputs such as microorganism or cell strains and media, together with process conditions that influence cultivation. These conditions include temperature, pH, dissolved oxygen, agitation, aeration, and nutrient delivery. Comparing these factors across parallel systems helps reveal which combinations support stronger growth or higher estimated productivity.
The experiments can provide estimates of growth, productivity, and the relative performance of tested process conditions. These results help researchers identify promising parameters and decide which strains, media, or cultivation settings deserve larger-scale evaluation. In bioengineering, the resulting information supports more efficient bioprocess development by narrowing the number of conditions examined later.