Evidence map›Paper›PMID 32367615›Full record

ReviewChembiochem : a European journal of chemical biology2020

Trends and Innovations in Biosensors for COVID-19 Mass Testing.

Ibon Santiago

Open access · hybridAbstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
3.3field-weighted citation impact, top 5% 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

61 citing papers in PubMed, 146 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Insight of smart biosensors for COVID-19: A review.Luminescence : the journal of biological and chemical luminescence · 2023
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Numerical optimization of microfluidic biosensor detection time for the SARS-CoV-2 using the Taguchi method.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2023
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Ibon SantiagoPhysics Department, Technical University of Munich, Am Coulombwall 4a/II, 85748, Garching b. München, Germany.ORCID 0000-0002-2822-9830
Technical University of Munich · DE

Funding

Alexander von Humboldt Foundation
6 · The paper itself

Abstract

Fast and widespread diagnosis is crucial to fighting against the outbreak of COVID-19. This work surveys the landscape of available and emerging biosensor technologies for COVID-19 testing. Molecular diagnostic assays based on quantitative reverse transcription polymerase chain reaction are used in most clinical laboratories. However, the COVID-19 pandemic has overwhelmed testing capacity and motivated the development of fast point-of-care tests and the adoption of isothermal DNA amplification. Antigenic and serological rapid tests based on lateral-flow immunoassays suffer from low sensitivity. Advanced digital systems enhance performance at the expense of speed and the need for large equipment. Emerging technologies, including CRISPR gene-editing tools, benefit from high sensitivity and specificity of molecular diagnostics and the easy use of lateral-flow assays. DNA sequencing and sample pooling strategies are highlighted to bring out the full capacity of the available biosensor technologies and accelerate mass testing.

Indexed as

BetacoronavirusBiosensing TechniquesClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingDiagnostic Tests, RoutineHumansImmunoassayPandemicsPneumonia, ViralReal-Time Polymerase Chain ReactionSARS-CoV-2COVID-19CRISPR diagnosticsimmunoassaysisothermal amplificationmolecular diagnostics

Identifiers

PMID32367615
PMCPMC7687022
OpenAlexW3023759097

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.