Evidence map›Paper›PMID 33592734›Full record

ReviewTalanta2021

Emerging biosensing technologies for improved diagnostics of COVID-19 and future pandemics.

Linzhe Chen, Guoliang Zhang, Longqi Liu, Zida Li

Abstract readReview
In one paragraph

Review in Talanta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. StratoLAMP: Label-free, multiplex digital loop-mediated isothermal amplification based on visual stratification of precipitate.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  3. Review
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19.Frontiers in bioengineering and biotechnology · 2022
    Review
  13. Metal Organic Frameworks as Biosensing Materials for COVID-19.Cellular and molecular bioengineering · 2021
    Review
  14. Review
  15. Article
  16. Current state of diagnostic, screening and surveillance testing methods for COVID-19 from an analytical chemistry point of view.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2021
    Article
  17. Review
  18. Article
  19. Review
  20. One Year of SARS-CoV-2: Genomic Characterization of COVID-19 Outbreak in Qatar.Frontiers in cellular and infection microbiology · 2021
    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

4 authors.

Linzhe ChenDepartment of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, 518060, China.
Guoliang ZhangNational Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, 518112, China.
Longqi LiuBGI-Shenzhen, Shenzhen, 518083, China. Electronic address: liulongqi@genomics.cn.
Zida LiDepartment of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, 518060, China. Electronic address: zidali@szu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic tools play significant roles in the fight against COVID-19 and other pandemics. Existing tests, such as RT-qPCR, have limitations including long assay time, low throughput, inadequate sensitivity, and suboptimal portability. Emerging biosensing technologies hold the promise to develop tests that are rapid, highly sensitive, and suitable for point-of-care testing, which could significantly facilitate the testing of COVID-19. Despite that, practical applications of such biosensors in pandemics have yet to be achieved. In this review, we consolidate the newly developed diagnostic tools for COVID-19 using emerging biosensing technologies and discuss their application promise. In particular, we present nucleic acid tests and antibody tests of COVID-19 based on both conventional and emerging biosensing methods. We then provide perspectives on the existing challenges and potential solutions.

Indexed as

Biosensing TechniquesCOVID-19COVID-19 TestingHumansPandemicsReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, ViralSARS-CoV-2Sensitivity and SpecificityRNA, ViralBiosensorsCOVID-19Pathogen detectionPoint-of-care testingSARS-CoV-2

Identifiers

PMID33592734
PMCPMC7733602

What OpenQuestion holds

Textmetadata
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.