Evidence map›Paper›PMID 32824787›Full record

ReviewSensors (Basel, Switzerland)2020

DNA/RNA Electrochemical Biosensing Devices a Future Replacement of PCR Methods for a Fast Epidemic Containment.

Manikandan Santhanam, Itay Algov, Lital Alfonta

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

3 authors.

Manikandan SanthanamDepartments of Life Sciences, Chemistry and Ilse Katz Institute for Nanoscale Science and Technology, PO Box 653, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel.ORCID 0000-0003-3798-9353
Itay AlgovDepartments of Life Sciences, Chemistry and Ilse Katz Institute for Nanoscale Science and Technology, PO Box 653, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel.
Lital AlfontaDepartments of Life Sciences, Chemistry and Ilse Katz Institute for Nanoscale Science and Technology, PO Box 653, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel.ORCID 0000-0002-3805-8625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemics require a fast and immediate response to contain potential infectious carriers. In the recent 2020 Covid-19 worldwide pandemic, authorities all around the world have failed to identify potential carriers and contain it on time. Hence, a rapid and very sensitive testing method is required. Current diagnostic tools, reverse transcription PCR (RT-PCR) and real-time PCR (qPCR), have its pitfalls for quick pandemic containment such as the requirement for specialized professionals and instrumentation. Versatile electrochemical DNA/RNA sensors are a promising technological alternative for PCR based diagnosis. In an electrochemical DNA sensor, a nucleic acid hybridization event is converted into a quantifiable electrochemical signal. A critical challenge of electrochemical DNA sensors is sensitive detection of a low copy number of DNA/RNA in samples such as is the case for early onset of a disease. Signal amplification approaches are an important tool to overcome this sensitivity issue. In this review, the authors discuss the most recent signal amplification strategies employed in the electrochemical DNA/RNA diagnosis of pathogens.

Indexed as

Biosensing TechniquesElectrochemical TechniquesBetacoronavirusCoronavirus InfectionsCOVID-19DNAEpidemicsHumansPandemicsPneumonia, ViralReal-Time Polymerase Chain ReactionRNASARS-CoV-2DNARNADNAelectrochemical DNA sensornucleic acid sensorpathogen sensingRNAsignal amplification

Identifiers

PMID32824787
PMCPMC7472328

What OpenQuestion holds

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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.