Evidence map›Paper›PMID 38620735›Full record

ReviewCarbon trends2021

Graphene-based field-effect transistor biosensors for the rapid detection and analysis of viruses: A perspective in view of COVID-19.

Joydip Sengupta, Chaudhery Mustansar Hussain

Open access · goldAbstract readReview
In one paragraph

Review in Carbon trends, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.5field-weighted citation impact, top 6% 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

47 citing papers in PubMed, 151 citations in OpenAlex.

  1. Article
  2. Article
  3. Contribution ofCurrent issues in molecular biology · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. The Tunable Parameters of Graphene-Based Biosensors.Sensors (Basel, Switzerland) · 2024
    Article
  8. Article
  9. AlHeliyon · 2024
    Article
  10. High sensitivity saliva-based biosensor in detection of breast cancer biomarkers: HER2 and CA15-3.Journal of vacuum science and technology. B, Nanotechnology & microelectronics : materials, processing, measurement, & phenomena : JVST B · 2024
    Article
  11. Review
  12. Two-Dimensional (2D) materials in the detection of SARS-CoV-2.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2023
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Ultrasensitive biosensing platform forFrontiers in bioengineering and biotechnology · 2023
    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

2 authors at 2 institutions in 2 countries.

Joydip SenguptaDepartment of Electronic Science, Jogesh Chandra Chaudhuri College (Affiliated to University of Calcutta), Kolkata 700 033, W.B., India.
Chaudhery Mustansar HussainDepartment of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey, USA.
New Jersey Institute of Technology · USUniversity of Calcutta · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current situation of COVID-19 demands a rapid, reliable, cost-effective, facile detection strategy to break the transmission chain and biosensor has emerged as a feasible solution for this purpose. Introduction of nanomaterials has undoubtedly improved the performance of biosensor and the addition of graphene enhanced the sensing ability to a peerless level. Amongst different graphene-based biosensing schemes, graphene field-effect transistor marked its unique presence owing to its ability of ultrasensitive and low-noise detection thereby facilitating instantaneous measurements even in the presence of small amounts of analytes. Recently, graphene field-effect transistor type biosensor is even successfully employed in rapid detection of SARS-CoV-2 and this triggers the interest of the scientific community in reviewing the current developments in graphene field-effect transistor. Subsequently, in this article, the recent progress in graphene field-effect transistor type biosensors for the detection of the virus is reviewed and challenges along with their strengths are discussed.

Indexed as

BiosensorCOVID-19Field-effect transistorGrapheneVirus detection

Identifiers

PMID38620735
PMCPMC7834279
OpenAlexW3110987870

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.