Evidence map›Paper›PMID 33900065›Full record

ArticleACS sensors2021

Real-Time Respiration Changes as a Viability Indicator for Rapid Antibiotic Susceptibility Testing in a Microfluidic Chamber Array.

Petra Jusková, Steven Schmitt, André Kling, Darius G Rackus, Martin Held, Adrian Egli, Petra S Dittrich

Open access · bronzeAbstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Oxygen microenvironments inMicrobiology (Reading, England) · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Optical OmBio · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. 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

7 authors at 2 institutions in 1 country.

Petra JuskováDepartment of Biosystems Science and Engineering, Bioanalytics Group, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.ORCID 0000-0002-7009-4263
Steven SchmittDepartment of Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.ORCID 0000-0001-9492-8958
André KlingDepartment of Biosystems Science and Engineering, Bioanalytics Group, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
Darius G RackusDepartment of Biosystems Science and Engineering, Bioanalytics Group, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
Martin HeldDepartment of Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
Adrian EgliClinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.
Petra S DittrichDepartment of Biosystems Science and Engineering, Bioanalytics Group, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.ORCID 0000-0001-5359-8403
ETH Zurich · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid identification of a pathogen and the measurement of its antibiotic susceptibility are key elements in the diagnostic process of bacterial infections. Microfluidic technologies offer great control over handling and manipulation of low sample volumes with the possibility to study microbial cultures on the single-cell level. Downscaling the dimensions of cultivation systems directly results in a lower number of bacteria required for antibiotic susceptibility testing (AST) and thus in a reduction of the time to result. The developed platform presented in this work allows the reading of pathogen resistance profiles within 2-3 h based on the changes of dissolved oxygen levels during bacterial cultivation. The platform contains hundreds of individual growth chambers prefilled with a hydrogel containing oxygen-sensing nanoprobes and different concentrations of antibiotic compounds. The performance of the developed platform is tested using quality control

Indexed as

Escherichia coliMicrofluidicsAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsRespirationAnti-Bacterial Agentsantibiotic susceptibility testingbacterial resistancemicrofluidicsminimal inhibitory concentrationoxygen-sensing nanoprobes

Identifiers

PMID33900065
PMCPMC8240088
OpenAlexW3157126601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.