Automated yeast cultivation control using a biosensor and flow cytometry

Raquel Perruca Foncillas, Sara Magnusson, Basel Al-Rudainy, Ola Wallberg, Marie F. Gorwa-Grauslund, Magnus Carlquist

Research output: Contribution to journalArticlepeer-review

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 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.

Original languageEnglish
Article numberkuae039
JournalJournal of Industrial Microbiology & Biotechnology
Volume51
Early online date2024 Oct 18
DOIs
Publication statusPublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Subject classification (UKÄ)

  • Bioprocess Technology (including Bioengineering Equipment)

Fingerprint

Dive into the research topics of 'Automated yeast cultivation control using a biosensor and flow cytometry'. Together they form a unique fingerprint.

Cite this