Evidence map›Paper›PMID 36671675›Full record

ArticleBioengineering (Basel, Switzerland)2023

A Two-Compartment Fermentation System to Quantify Strain-Specific Interactions in Microbial Co-Cultures.

Andreas Ulmer, Stefan Veit, Florian Erdemann, Andreas Freund, Maren Loesch, Attila Teleki, Ahmad A Zeidan, Ralf Takors

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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

8 authors at 2 institutions in 2 countries.

Andreas UlmerInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.ORCID 0000-0001-9573-9550
Stefan VeitInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.ORCID 0000-0003-0425-3817
Florian ErdemannInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Andreas FreundInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Maren LoeschInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Attila TelekiInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Ahmad A ZeidanSystems Biology, R&D Discovery, Chr. Hansen A/S, 2970 Hørsholm, Denmark.
Ralf TakorsInstitute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.ORCID 0000-0001-5837-6906
University of Stuttgart · DEChr. Hansen (Denmark) · DK

Funding

Bundesministerium für Bildung und Forschung BMBF 031B0596B
6 · The paper itself

Abstract

To fulfil the growing interest in investigating microbial interactions in co-cultures, a novel two-compartment bioreactor system was developed, characterised, and implemented. The system allowed for the exchange of amino acids and peptides via a polyethersulfone membrane that retained biomass. Further system characterisation revealed a Bodenstein number of 18, which hints at backmixing. Together with other physical settings, the existence of unwanted inner-compartment substrate gradients could be ruled out. Furthermore, the study of Damkoehler numbers indicated that a proper metabolite supply between compartments was enabled. Implementing the two-compartment system (2cs) for growing

Indexed as

bioprocess engineeringlactic acid bacteriaLactobacillus bulgaricusmetabolomicsmicrobial consortiaStreptococcus thermophilus

Identifiers

PMID36671675
PMCPMC9854596
OpenAlexW4315781710

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.