Evidence map›Paper›PMID 33303154›Full record

ReviewTalanta2021

Rapid diagnostics of coronavirus disease 2019 in early stages using nanobiosensors: Challenges and opportunities.

Majid Sharifi, Anwarul Hasan, Setareh Haghighat, Akbar Taghizadeh, Farnoosh Attar, Samir Haj Bloukh, Zehra Edis, Mengzhou Xue, Suliman Khan, Mojtaba Falahati

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  7. Rapid diagnosis of COVID-19RSC advances · 2022
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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

10 authors.

Majid SharifiDepartment of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Department of Nanotechnology, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Anwarul HasanDepartment of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha 2713, Qatar; Biomedical Research Center, Qatar University, Doha 2713, Qatar.
Setareh HaghighatDepartment of Microbiology, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Akbar TaghizadehDepartment of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Farnoosh AttarDepartment of Food Toxicology, Research Center of Food Technology and Agricultural Products, Standard Research Institute (SRI), Karaj, Iran.
Samir Haj BloukhDepartment of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates.
Zehra EdisDepartment of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates.
Mengzhou XueDepartment of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Suliman KhanDepartment of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. Electronic address: Suliman.khan18@gmail.com.
Mojtaba FalahatiDepartment of Nanotechnology, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran. Electronic address: mojtaba.falahati@alumni.ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid outbreak of coronavirus disease 2019 (COVID-19) around the world is a tragic and shocking event that demonstrates the unpreparedness of humans to develop quick diagnostic platforms for novel infectious diseases. In fact, statistical reports of diagnostic tools show that their accuracy, specificity and sensitivity in the detection of COVID hampered by some challenges that can be eliminated by using nanoparticles (NPs). In this study, we aimed to present an overview on the most important ways to diagnose different kinds of viruses followed by the introduction of nanobiosensors. Afterward, some methods of COVID-19 detection such as imaging, laboratory and kit-based diagnostic tests are surveyed. Furthermore, nucleic acids/protein- and immunoglobulin (Ig)-based nanobiosensors for the COVID-19 detection infection are reviewed. Finally, current challenges and future perspective for the development of diagnostic or monitoring technologies in the control of COVID-19 are discussed to persuade the scientists in advancing their technologies beyond imagination. In conclusion, it can be deduced that as rapid COVID-19 detection infection can play a vital role in disease control and treatment, this review may be of great help for controlling the COVID-19 outbreak by providing some necessary information for the development of portable, accurate, selectable and simple nanobiosensors.

Indexed as

Biosensing TechniquesNanotechnologyCOVID-19HumansReagent Kits, DiagnosticSensitivity and SpecificityReagent Kits, DiagnosticCoronavirusCOVID-19DiagnosticsGlobal healthNanobiosensors

Identifiers

PMID33303154
PMCPMC7521920

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.