Evidence map›Paper›PMID 33151419›Full record

ReviewMikrochimica acta2020

Nanobiosensors as new diagnostic tools for SARS, MERS and COVID-19: from past to perspectives.

Riccarda Antiochia

Open access · hybridAbstract readReview
In one paragraph

Review in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. Pooled it
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  10. COVID-19 diagnostics: Molecular biology to nanomaterials.Clinica chimica acta; international journal of clinical chemistry · 2023
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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

1 author at 1 institution in 1 country.

Riccarda AntiochiaDepartment of Chemistry and Drug Technologies, Sapienza University of Rome, P.le Aldo Moro 5, 00185, Rome, Italy. riccarda.antiochia@uniroma1.it.ORCID http://orcid.org/0000-0001-8990-8506
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and novel coronavirus 19 (COVID-19) epidemics represent the biggest global health threats in the last two decades. These infections manifest as bronchitis, pneumonia or severe, sometimes fatal, respiratory illness. The novel coronavirus seems to be associated with milder infections but it has spread globally more rapidly becoming a pandemic. This review summarises the state of the art of nanotechnology-based affinity biosensors for SARS, MERS and COVID-19 detection. The nanobiosensors are antibody- or DNA-based biosensors with electrochemical, optical or FET-based transduction. Various kinds of nanomaterials, such as metal nanoparticles, nanowires and graphene, have been merged to the affinity biosensors to enhance their analytical performances. The advantages of the use of the nanomaterials are highlighted, and the results compared with those obtained using non-nanostructured biosensors. A critical comparison with conventional methods, such as RT-PCR and ELISA, is also reported. It is hoped that this review will provide interesting information for the future development of new reliable nano-based platforms for point-of-care diagnostic devices for COVID-19 prevention and control.

Indexed as

Biosensing TechniquesCoronavirus InfectionsCOVID-19Equipment DesignHumansImmunochemistryNanotechnologyPandemicsSevere Acute Respiratory SyndromeCoronavirusCOVID-19DNA-sensorImmunosensorMERSNanobiosensorNanomaterialPoint-of-care diagnosticsSARS

Identifiers

PMID33151419
PMCPMC7642243
OpenAlexW3096643716

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.