Evidence map›Paper›PMID 36005033›Full record

ReviewBiosensors2022

State-of-the-Art Smart and Intelligent Nanobiosensors for SARS-CoV-2 Diagnosis.

Sushma Thapa, Kshitij Rb Singh, Ranjana Verma, Jay Singh, Ravindra Pratap Singh

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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

5 authors at 2 institutions in 1 country.

Sushma ThapaDepartment of Chemistry, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India.
Kshitij Rb SinghDepartment of Chemistry, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India.ORCID 0000-0002-7846-0010
Ranjana VermaDepartment of Physics, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India.ORCID 0000-0003-4095-7520
Jay SinghDepartment of Chemistry, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India.ORCID 0000-0002-3793-0450
Ravindra Pratap SinghDepartment of Biotechnology, Faculty of Science, Indira Gandhi National Tribal University, Amarkantak 484887, Madhya Pradesh, India.ORCID 0000-0002-6790-4261
Banaras Hindu University · INIndira Gandhi National Tribal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus appeared to be a milder infection initially, but the unexpected outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), commonly called COVID-19, was transmitted all over the world in late 2019 and caused a pandemic. Human health has been disastrously affected by SARS-CoV-2, which is still evolving and causing more serious concerns, leading to the innumerable loss of lives. Thus, this review provides an outline of SARS-CoV-2, of the traditional tools to diagnose SARS-CoV-2, and of the role of emerging nanomaterials with unique properties for fabricating biosensor devices to diagnose SARS-CoV-2. Smart and intelligent nanomaterial-enabled biosensors (nanobiosensors) have already proven their utility for the diagnosis of several viral infections, as various detection strategies based on nanobiosensor devices are already present, and several other methods are also being investigated by researchers for the determination of SARS-CoV-2 disease; however, considerably more is undetermined and yet to be explored. Hence, this review highlights the utility of various nanobiosensor devices for SARS-CoV-2 determination. Further, it also emphasizes the future outlook of nanobiosensing technologies for SARS-CoV-2 diagnosis.

Indexed as

Biosensing TechniquesCOVID-19COVID-19 TestingHumansPandemicsSARS-CoV-2biosensorsCOVID-19nanobiosensorsnanomaterialsSARS-CoV-2smart and intelligent nanomaterials

Identifiers

PMID36005033
PMCPMC9405813
OpenAlexW4291366825

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.