Evidence map›Paper›PMID 33670852›Full record

ReviewBiosensors2021

A Review on SERS-Based Detection of Human Virus Infections: Influenza and Coronavirus.

Fernanda Saviñon-Flores, Erika Méndez, Mónica López-Castaños, Alejandro Carabarin-Lima, Karen A López-Castaños, Miguel A González-Fuentes, Alia Méndez-Albores

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 108 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Fernanda Saviñon-FloresFacultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Erika MéndezFacultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Mónica López-CastañosFacultad de Ciencias Biológicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Alejandro Carabarin-LimaCentro de Investigaciones en Ciencias Microbiológicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.ORCID 0000-0002-0162-4929
Karen A López-CastañosCentro de Química-ICUAP-Posgrado en Ciencias Ambientales, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Miguel A González-FuentesFacultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.ORCID 0000-0003-0630-151X
Alia Méndez-AlboresCentro de Química-ICUAP-Posgrado en Ciencias Ambientales, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Benemérita Universidad Autónoma de Puebla · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of respiratory viruses of zoonotic origin (RVsZO) such as influenza and coronaviruses in humans is crucial, because their spread and pandemic threat are the highest. Surface-enhanced Raman spectroscopy (SERS) is an analytical technique with promising impact for the point-of-care diagnosis of viruses. It has been applied to a variety of influenza A virus subtypes, such as the H1N1 and the novel coronavirus SARS-CoV-2. In this work, a review of the strategies used for the detection of RVsZO by SERS is presented. In addition, relevant information about the SERS technique, anthropozoonosis, and RVsZO is provided for a better understanding of the theme. The direct identification is based on trapping the viruses within the interstices of plasmonic nanoparticles and recording the SERS signal from gene fragments or membrane proteins. Quantitative mono- and multiplexed assays have been achieved following an indirect format through a SERS-based sandwich immunoassay. Based on this review, the development of multiplex assays that incorporate the detection of RVsZO together with their specific biomarkers and/or secondary disease biomarkers resulting from the infection progress would be desirable. These configurations could be used as a double confirmation or to evaluate the health condition of the patient.

Indexed as

COVID-19COVID-19 TestingEquipment DesignHumansImmunoassayInfluenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza, HumanSARS-CoV-2Spectrum Analysis, RamananthropozoonosiscoronavirusCOVID-19influenzaquantification strategiesSERSviruszoonosis

Identifiers

PMID33670852
PMCPMC7997427
OpenAlexW3134937903

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.