Evidence map›Paper›PMID 33163530›Full record

ReviewNano-micro letters2021

An Overview on SARS-CoV-2 (COVID-19) and Other Human Coronaviruses and Their Detection Capability via Amplification Assay, Chemical Sensing, Biosensing, Immunosensing, and Clinical Assays.

Yasin Orooji, Hessamaddin Sohrabi, Nima Hemmat, Fatemeh Oroojalian, Behzad Baradaran, Ahad Mokhtarzadeh, Mohamad Mohaghegh, Hassan Karimi-Maleh

Open access · diamondAbstract readReview
In one paragraph

Review in Nano-micro letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

63 citing papers in PubMed, 206 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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 at 6 institutions in 2 countries.

Yasin Orooji *College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037 People's Republic of China.
Hessamaddin Sohrabi *Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, 51666-16471 Iran.
Nima HemmatImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Fatemeh OroojalianDepartment of Advanced Sciences and Technologies in Medicine, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Behzad BaradaranImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ahad MokhtarzadehImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohamad MohagheghDepartment of Nanobiotechnology, School of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Hassan Karimi-MalehDepartment of Chemical Engineering, Laboratory of Nanotechnology, Quchan University of Technology, Quchan, Islamic Republic of Iran.
Tabriz University of Medical Sciences · IRNanjing Forestry University · CNNorth Khorasan University of Medical Sciences · IRQuchan University of Advanced Technology · IRTarbiat Modares University · IRUniversity of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus of zoonotic origin (SARS-CoV-2) has recently been recognized in patients with acute respiratory disease. COVID-19 causative agent is structurally and genetically similar to SARS and bat SARS-like coronaviruses. The drastic increase in the number of coronavirus and its genome sequence have given us an unprecedented opportunity to perform bioinformatics and genomics analysis on this class of viruses. Clinical tests like PCR and ELISA for rapid detection of this virus are urgently needed for early identification of infected patients. However, these techniques are expensive and not readily available for point-of-care (POC) applications. Currently, lack of any rapid, available, and reliable POC detection method gives rise to the progression of COVID-19 as a horrible global problem. To solve the negative features of clinical investigation, we provide a brief introduction of the general features of coronaviruses and describe various amplification assays, sensing, biosensing, immunosensing, and aptasensing for the determination of various groups of coronaviruses applied as a template for the detection of SARS-CoV-2. All sensing and biosensing techniques developed for the determination of various classes of coronaviruses are useful to recognize the newly immerged coronavirus, i.e., SARS-CoV-2. Also, the introduction of sensing and biosensing methods sheds light on the way of designing a proper screening system to detect the virus at the early stage of infection to tranquilize the speed and vastity of spreading. Among other approaches investigated among molecular approaches and PCR or recognition of viral diseases, LAMP-based methods and LFAs are of great importance for their numerous benefits, which can be helpful to design a universal platform for detection of future emerging pathogenic viruses.

Indexed as

Amplification assayApta assayELISAqRT-PCRSensing assay

Identifiers

PMID33163530
PMCPMC7604542
OpenAlexW3096519810

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.