Evidence map›Paper›PMID 35417851›Full record

ArticleBiosensors & bioelectronics2022

Ultrasensitive PCR-Free detection of whole virus genome by electrochemiluminescence.

Pavlos Nikolaou, Emanuele Luigi Sciuto, Alessandra Zanut, Salvatore Petralia, Giovanni Valenti, Francesco Paolucci, Luca Prodi, Sabrina Conoci

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

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  10. Current and Perspective Sensing Methods for Monkeypox Virus.Bioengineering (Basel, Switzerland) · 2022
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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

8 authors at 4 institutions in 1 country.

Pavlos NikolaouDepartment of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, 40126, Bologna, Italy.
Emanuele Luigi SciutoAzienda Ospedaliero-Universitaria Policlinico "G. Rodolico -San Marco", Catania, Italy.
Alessandra ZanutDepartment of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, 40126, Bologna, Italy.
Salvatore PetraliaDepartment of Drug Science and Health, University of Catania, Via A Doria, 95121, Catania, Italy.
Giovanni ValentiDepartment of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, 40126, Bologna, Italy. Electronic address: g.valenti@unibo.it.
Francesco PaolucciDepartment of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, 40126, Bologna, Italy.
Luca ProdiDepartment of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, 40126, Bologna, Italy. Electronic address: luca.prodi@unibo.it.
Sabrina ConociDepartment of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, 40126, Bologna, Italy; Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno d'Alcontres, 31, 98168, Messina, Italy; Institute for Microelectronics and Microsystems, Consiglio Nazionale delle Ricerche (CNR-IMM), Ottava Strada n.5, I-95121 Catania, Italy. Electronic address: sabrina.conoci@unime.it.
University of Bologna · ITPoliclinico Universitario di Catania · ITUniversity of Catania · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of nucleic acids is crucial in many medical applications, and in particular for monitoring infectious diseases, as it has become perfectly clear after the pandemic infection of COVID-19. In this context, the development of innovative detection methods based on signal-amplification rather than analyte-amplification represents a significant breakthrough compared to existing PCR-based methodologies, allowing the development of new nucleic acid detection technologies suitable to be integrated in portable and low-cost sensor devices while keeping high sensitivities, thus enabling massive diagnostic screening. In this work, we present a novel molecular sensor for the ultrasensitive PCR-free detection of Hepatitis B Virus (HBV) based on electrochemiluminescence (ECL). Thanks to the combination of surface cooperative hybridization scheme with ECL detection strategy, our novel DNA sensor is able to detect HBV genome - both synthetic and extracted - with the unprecedented limit of detection (LoD) of 0.05 cps μL

Indexed as

Biosensing TechniquesCommunicable DiseasesCOVID-19Genome, ViralHepatitis B virusHumansPolymerase Chain ReactionDNA sensorElectrochemiluminescenceNucleic acid detectionPoint-of-Care sensorsVirus

Identifiers

PMID35417851
PMCPMC9759511
OpenAlexW4224133619

What OpenQuestion holds

Textmetadata
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.