Evidence map›Paper›PMID 37435997›Full record

ReviewAdvanced healthcare materials2023

PCR-Free Innovative Strategies for SARS-CoV-2 Detection.

Paolo Calorenni, Antonio A Leonardi, Emanuele L Sciuto, Maria G Rizzo, Maria J Lo Faro, Barbara Fazio, Alessia Irrera, Sabrina Conoci

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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.

Paolo CalorenniDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy.
Antonio A LeonardiDepartment of Physics and Astronomy, University of Catania, Via Santa Sofia 64, Catania, 95123, Italy.
Emanuele L SciutoDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy.ORCID 0000-0003-4972-9874
Maria G RizzoDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy.
Maria J Lo FaroDepartment of Physics and Astronomy, University of Catania, Via Santa Sofia 64, Catania, 95123, Italy.
Barbara FazioURT Lab Sens Beyond Nano, CNR-DSFTM, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy.
Alessia IrreraURT Lab Sens Beyond Nano, CNR-DSFTM, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy.
Sabrina ConociDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic outbreak caused by SARS-CoV-2 coronavirus brought a crucial issue in public health causing up to now more than 600 million infected people and 6.5 million deaths. Conventional diagnostic methods are based on quantitative reverse transcription polymerase chain reaction (RT-qPCR assay) and immuno-detection (ELISA assay). However, despite these techniques have the advantages of being standardized and consolidated, they keep some main limitations in terms of accuracy (immunoassays), time/cost consumption of analysis, the need for qualified personnel, and lab constrain (molecular assays). There is crucial the need to develop new diagnostic approaches for accurate, fast and portable viral detection and quantification. Among these, PCR-free biosensors represent the most appealing solution since they can allow molecular detection without the complexity of the PCR. This will enable the possibility to be integrated in portable and low-cost systems for massive and decentralized screening of SARS-CoV-2 in a point-of-care (PoC) format, pointing to achieve a performant identification and control of infection. In this review, the most recent approaches for the SARS-CoV-2 PCR-free detection are reported, describing both the instrumental and methodological features, and highlighting their suitability for a PoC application.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansPoint-of-Care SystemsPolymerase Chain ReactionSensitivity and SpecificitybiosensorsCRISPR-Casgraphene technologyPCR-freepoint-of-careSARS-CoV-2 PCR-free detection

Identifiers

PMID37435997
PMCPMC11469253

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.