Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1038/s41540-026-00694-3 |
Licence  |
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| Title (Primary) | A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors |
| Author | López-Gálvez, J.; Schönfelder, E.; Mayer, H.; Schiessl, K.; Silva, M.O.D.; Harms, H.; Müller, S. |
| Source Titel | npj Systems Biology and Applications |
| Year | 2026 |
| Department | AME |
| Volume | 12 |
| Page From | art. 47 |
| Language | englisch |
| Topic | T7 Bioeconomy |
| Data and Software links | https://doi.org/10.5281/zenodo.16418399 |
| Supplements | Supplement 1 |
| Abstract | In
biotechnological processes, cell density and physiology are critical
parameters for controlling the feed rate, harvest time, and process
performance. We developed an automated flow cytometry approach that
enables continuous, real-time (fully automated, hourly) monitoring of
bacterial populations in continuous bioreactors. The method employed a
double-staining protocol that combined DAPI to assess total DNA content
and Alexa Fluor 488-EdU via Click-iT technology to identify the
proportions of cells undergoing active DNA replication through EdU
incorporation. The integrated workflow included fixation,
permeabilization, staining, and measurement steps and was applied to
three Gram-negative strains: Bradyrhizobium sp., Escherichia coli, and Stenotrophomonas rhizophila.
Automated analysis captured growth dynamics and cell cycle progression,
providing insights into population behavior under different dilution
rates. In this study, automated on-line sampling enabled hourly flow
cytometry measurements of cell concentration and physiological
indicators during continuous cultivation, supporting real-time
monitoring and control in industrial biotechnology. |
| López-Gálvez, J., Schönfelder, E., Mayer, H., Schiessl, K., Silva, M.O.D., Harms, H., Müller, S. (2026): A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors npj Syst. Biol. Appl. 12 , art. 47 10.1038/s41540-026-00694-3 |
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