Evidence map›Paper›PMID 39424604›Full record

ArticleJournal of industrial microbiology & biotechnology2024

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

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Raquel Perruca FoncillasDivision of Applied Microbiology, Department of Chemistry, Lund University, SE-22100 Lund, Sweden.
Sara MagnussonDivision of Applied Microbiology, Department of Chemistry, Lund University, SE-22100 Lund, Sweden.
Basel Al-RudainyDivision of Chemical Engineering, Department of Process and Life Science Engineering, Lund University, SE-22100 Lund, Sweden.
Ola WallbergDivision of Chemical Engineering, Department of Process and Life Science Engineering, Lund University, SE-22100 Lund, Sweden.
Marie F Gorwa-GrauslundDivision of Applied Microbiology, Department of Chemistry, Lund University, SE-22100 Lund, Sweden.
Magnus CarlquistDivision of Applied Microbiology, Department of Chemistry, Lund University, SE-22100 Lund, Sweden.ORCID 0000-0001-8881-8197

Funding

The Swedish Energy Agency (Energimyndigheten) P46581-1
6 · The paper itself

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. ONE-SENTENCE SUMMARY: An automated control system using flow cytometry and biosensors enhances microbial bioprocessing by regulating cellular performance in response to the environmental stressor furfural.

Indexed as

Biosensing TechniquesFlow CytometryFuraldehydeSaccharomyces cerevisiaeXyloseBatch Cell Culture TechniquesBioreactorsFermentationNADPOxidation-ReductionFuraldehydeNADPXyloseautomated real-time flow cytometrycontrol strategyfermentationheterogeneitysynthetic biology

Identifiers

PMID39424604
PMCPMC11561399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.