Evidence map›Paper›PMID 33172055›Full record

ArticleSensors (Basel, Switzerland)2020

Investigating the Use of Impedance Flow Cytometry for Classifying the Viability State of

Christian Vinther Bertelsen, Julio César Franco, Gustav Erik Skands, Maria Dimaki, Winnie Edith Svendsen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Correlating Antibiotic-Induced Dysbiosis toACS infectious diseases · 2023
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  8. Article
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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

5 authors.

Christian Vinther BertelsenDTU Bioengineering, Technical University of Denmark, Søltofts Plads 221, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0001-6159-0559
Julio César FrancoDTU Bioengineering, Technical University of Denmark, Søltofts Plads 221, 2800 Kgs. Lyngby, Denmark.
Gustav Erik SkandsSBT Instruments A/S, Symfonivej 37, 2730 Herlev, Denmark.
Maria DimakiDTU Bioengineering, Technical University of Denmark, Søltofts Plads 221, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0001-5037-2388
Winnie Edith SvendsenDTU Bioengineering, Technical University of Denmark, Søltofts Plads 221, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-9197-6505

Funding

Innovationsfonden 7038-00185B
6 · The paper itself

Abstract

Bacteria detection, counting and analysis is of great importance in several fields. When viability plays a major role in decision making, the counting of colony-forming units grown on agar plates remains the gold standard. However, because plate counts depend on the growth of the bacteria, it is a slow procedure and only works with culturable species. Impedance flow cytometry (IFC) is a promising technology for particle detection, counting and characterization. It relies on the perturbation of an electric field by particles flowing through a microfluidic channel. The perturbation is directly related to the electrical properties of the particles, and therefore provides information about their composition and structure. In this work we investigate whether IFC can be used to differentiate viable cells from inactivated cells. Our findings demonstrate that the specific viability state of the bacteria has to be considered, but that with proper characterization thresholds, IFC can be used to classify bacterial viability states. By using three different inactivation methods-ethanol, heat and autoclavation-we have been able to show that the impedance response of Escherichia coli depends on its viability state, but that the specific response depends on the inactivation method. With these findings we expect to be able to optimize IFC for more reliable bacteria detection and counting in the future.

Indexed as

Escherichia coliFlow CytometryElectric Impedancebacteria characterizationbacteria detectionbacteria inactivationimpedance flow cytometryimpedance spectroscopylab-on-a-chip

Identifiers

PMID33172055
PMCPMC7664255

What OpenQuestion holds

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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.