Evidence map›Paper›PMID 33477907›Full record

ArticleBiosensors2021

Quantitative

Kawaljit Kaur, Winny Chelangat, Sergey I Druzhinin, Nancy Wangechi Karuri, Mareike Müller, Holger Schönherr

Abstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Hydrogel-Based Biosensors.Gels (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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.

Kawaljit KaurPhysical Chemistry I & Research Center of Micro and Nanochemistry and Engineering (Cμ), Department of Chemistry and Biology, University of Siegen, Adolf-Reichwein-Straße 2, 57076 Siegen, Germany.
Winny ChelangatPhysical Chemistry I & Research Center of Micro and Nanochemistry and Engineering (Cμ), Department of Chemistry and Biology, University of Siegen, Adolf-Reichwein-Straße 2, 57076 Siegen, Germany.
Sergey I DruzhininPhysical Chemistry I & Research Center of Micro and Nanochemistry and Engineering (Cμ), Department of Chemistry and Biology, University of Siegen, Adolf-Reichwein-Straße 2, 57076 Siegen, Germany.
Nancy Wangechi KaruriChemical Engineering Department, Dedan Kimathi University of Technology, Nyeri-Mweiga Road, Nyeri 10143, Kenya.
Mareike MüllerPhysical Chemistry I & Research Center of Micro and Nanochemistry and Engineering (Cμ), Department of Chemistry and Biology, University of Siegen, Adolf-Reichwein-Straße 2, 57076 Siegen, Germany.
Holger SchönherrPhysical Chemistry I & Research Center of Micro and Nanochemistry and Engineering (Cμ), Department of Chemistry and Biology, University of Siegen, Adolf-Reichwein-Straße 2, 57076 Siegen, Germany.ORCID 0000-0002-5836-5569

Funding

ERASMUS+ ERASMUS+ program Kenia KA107Max-Buchner-Forschungsstiftung-Dechema MBFSt-Kennziffer: 3671University of Siegen University of Siegen
6 · The paper itself

Abstract

There is a growing demand for rapid and sensitive detection approaches for pathogenic bacteria that can be applied by non-specialists in non-laboratory field settings. Here, the detection of the typical

Indexed as

Biosensing TechniquesChitosanEscherichia coliEscherichia coli ProteinsGlucuronidaseHydrogelsKineticsLysogenyPhosphatesPoint-of-Care SystemsSmartphoneVideo RecordingChitosanEscherichia coli ProteinsGlucuronidaseHydrogelsPhosphatesbacteria detectionEscherichia colilab-in-a-phonepaper-based biosensorsreporter hydrogelsβ-glucuronidase

Identifiers

PMID33477907
PMCPMC7833396

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.