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Automated yeast cultivation control using a biosensor and flow cytometry

Foncillas, Raquel Perruca LU ; Magnusson, Sara ; Al-Rudainy, Basel LU ; Wallberg, Ola LU orcid ; Gorwa-Grauslund, Marie F. LU and Carlquist, Magnus LU (2024) In Journal of Industrial Microbiology & Biotechnology 51.
Abstract

Effective microbial bioprocessing relies on maintaining ideal cultivation conditions, highlighting the necessity for tools that monitor and regulate cellular performance and robustness. This study evaluates a fed-batch cultivation control system based on at-line flow cytometry monitoring of intact yeast cells having a fluorescent transcription factor-based redox biosensor. Specifically, the biosensor assesses the response of an industrial xylose-fermenting Saccharomyces cerevisiae strain carrying the TRX2p-yEGFP biosensor for NADPH/NADP+ ratio imbalance when exposed to furfural. The developed control system successfully detected biosensor output and automatically adjusted furfural feed rate, ensuring... (More)

Effective microbial bioprocessing relies on maintaining ideal cultivation conditions, highlighting the necessity for tools that monitor and regulate cellular performance and robustness. This study evaluates a fed-batch cultivation control system based on at-line flow cytometry monitoring of intact yeast cells having a fluorescent transcription factor-based redox biosensor. Specifically, the biosensor assesses the response of an industrial xylose-fermenting Saccharomyces cerevisiae strain carrying the TRX2p-yEGFP biosensor for NADPH/NADP+ ratio imbalance when exposed to furfural. The developed control system successfully detected biosensor output and automatically adjusted furfural feed rate, ensuring physiological fitness at high furfural levels. Moreover, the single-cell measurements enabled the monitoring of subpopulation dynamics, enhancing control precision over traditional methods. The presented automated control system highlights the potential of combining biosensors and flow cytometry for robust microbial cultivations by leveraging intracellular properties as control inputs.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Industrial Microbiology & Biotechnology
volume
51
article number
kuae039
publisher
Oxford University Press
external identifiers
  • scopus:85209598433
  • pmid:39424604
ISSN
1367-5435
DOI
10.1093/jimb/kuae039
language
English
LU publication?
yes
additional info
© The Author(s) 2024. Published by Oxford University Press on behalf of Society of Industrial Microbiology and Biotechnology.
id
a7f964ba-6614-45d0-84aa-8b8955e378d9
date added to LUP
2024-10-22 21:50:12
date last changed
2025-06-12 17:58:45
@article{a7f964ba-6614-45d0-84aa-8b8955e378d9,
  abstract     = {{<p>Effective microbial bioprocessing relies on maintaining ideal cultivation conditions, highlighting the necessity for tools that monitor and regulate cellular performance and robustness. This study evaluates a fed-batch cultivation control system based on at-line flow cytometry monitoring of intact yeast cells having a fluorescent transcription factor-based redox biosensor. Specifically, the biosensor assesses the response of an industrial xylose-fermenting <em>Saccharomyces cerevisiae</em> strain carrying the <em>TRX2</em>p-<em>yEGFP</em> biosensor for NADPH/NADP+ ratio imbalance when exposed to furfural. The developed control system successfully detected biosensor output and automatically adjusted furfural feed rate, ensuring physiological fitness at high furfural levels. Moreover, the single-cell measurements enabled the monitoring of subpopulation dynamics, enhancing control precision over traditional methods. The presented automated control system highlights the potential of combining biosensors and flow cytometry for robust microbial cultivations by leveraging intracellular properties as control inputs.</p>}},
  author       = {{Foncillas, Raquel Perruca and Magnusson, Sara and Al-Rudainy, Basel and Wallberg, Ola and Gorwa-Grauslund, Marie F. and Carlquist, Magnus}},
  issn         = {{1367-5435}},
  language     = {{eng}},
  month        = {{10}},
  publisher    = {{Oxford University Press}},
  series       = {{Journal of Industrial Microbiology & Biotechnology}},
  title        = {{Automated yeast cultivation control using a biosensor and flow cytometry}},
  url          = {{http://dx.doi.org/10.1093/jimb/kuae039}},
  doi          = {{10.1093/jimb/kuae039}},
  volume       = {{51}},
  year         = {{2024}},
}