Evidence map›Paper›PMID 35790098›Full record

ArticleIEEE sensors journal2021

Nanomaterials-Based Sensors for Respiratory Viral Detection: A Review.

Gowhar A Naikoo, Tasbiha Awan, Israr Ul Hassan, Hiba Salim, Fareeha Arshad, Waqar Ahmed, Abdullah M Asiri, Ahsanulhaq Qurashi

Abstract read
In one paragraph

Article in IEEE sensors journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Nanomaterials-based sensors for the detection of COVID-19: A review.Bioengineering & translational medicine · 2022
    Review
  8. Article
  9. 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

8 authors.

Gowhar A NaikooDepartment of Mathematics and SciencesCollege of Arts and Applied SciencesDhofar University Salalah PC 211 Oman.ORCID https://orcid.org/0000-0001-9103-5126
Tasbiha AwanDepartment of Mathematics and SciencesCollege of Arts and Applied SciencesDhofar University Salalah PC 211 Oman.ORCID https://orcid.org/0000-0002-9154-530X
Israr Ul HassanCollege of EngineeringDhofar University Salalah 211 Oman.ORCID https://orcid.org/0000-0001-8319-6552
Hiba SalimDepartment of Mathematics and SciencesCollege of Arts and Applied SciencesDhofar University Salalah PC 211 Oman.
Fareeha ArshadDepartment of BiochemistryAligarh Muslim University Uttar Pradesh 202002 India.ORCID https://orcid.org/0000-0002-6962-1927
Waqar AhmedSchool of Mathematics and Physics, College of ScienceUniversity of Lincoln Lincoln LN6 7TS U.K.
Abdullah M AsiriDepartment of ChemistryFaculty of ScienceKing Abdulaziz University Jeddah PC 21589 Saudi Arabia.
Ahsanulhaq QurashiDepartment of ChemistryKhalifa University Abu Dhabi PC 127788 United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contagious diseases are the principal cause of mortality, particularly respiratory viruses, a real menace for public health and economic development worldwide. Therefore, timely diagnosis and treatments are the only life-saving strategy to overcome any epidemic and particularly the ongoing prevailing pandemic COVID-19 caused by SARS-CoV-2. A rapid identification, point of care, portable, highly sensitive, stable, and inexpensive device is needed which is exceptionally satisfied by sensor technology. Consequently, the researchers have directed their attention to employing sensors targeting multiple analyses of pathogenic detections across the world. Nanostructured materials (nanoparticles, nanowires, nanobundles, etc.), owing to their unique characteristics such as large surface-to-volume ratio and nanoscale interactions, are widely employed to fabricate facile sensors to meet all the immediate emerging challenges and threats. This review is anticipated to foster researchers in developing advanced nanomaterials-based sensors for the increasing number of COVID-19 cases across the globe. The mechanism of respiratory viral detection by nanomaterials-based sensors has been reported. Moreover, the advantages, disadvantages, and their comparison with conventional sensors are summarized. Furthermore, we have highlighted the challenges and future potential of these sensors for achieving efficient and rapid detection.

Indexed as

Nanomaterialsrespiratory viral detectionSARS-CoV-2types of sensors

Identifiers

PMID35790098
PMCPMC8769020

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.