Evidence map›Paper›PMID 36721465›Full record

ArticleNano select : open access2022

SARS-CoV-2 and omicron variant detection with a high selectivity, sensitivity, and low-cost silicon bio-nanosensor.

Antonio Alessio Leonardi, Emanuele Luigi Sciuto, Maria José Lo Faro, Barbara Fazio, Maria Giovanna Rizzo, Giovanna Calabrese, Luca Francioso, Rosaria Picca, Francesco Nastasi, Giuseppe Mancuso and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nano select : open access, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 14 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

14 authors at 6 institutions in 2 countries.

Antonio Alessio LeonardiDipartimento di Fisica e Astronomia "Ettore Majorana" Università degli studi di Catania Catania Italy.
Emanuele Luigi SciutoLab SENS Beyond Nano CNR Messina Italy.
Maria José Lo FaroDipartimento di Fisica e Astronomia "Ettore Majorana" Università degli studi di Catania Catania Italy.
Barbara FazioLab SENS Beyond Nano CNR Messina Italy.
Maria Giovanna RizzoDipartimento di Scienze Chimiche Biologiche, Farmaceutiche, ed Ambientali Università degli studi di Messina Messina Italy.
Giovanna CalabreseDipartimento di Scienze Chimiche Biologiche, Farmaceutiche, ed Ambientali Università degli studi di Messina Messina Italy.
Luca FranciosoCNR-IMM Istituto per la Microelettronica e Microsistemi Via Monteroni University Campus Lecce Italy.
Rosaria PiccaDipartimento di Chimica Università degli studi di Bari Bari Italy.
Francesco NastasiDipartimento di Scienze Chimiche Biologiche, Farmaceutiche, ed Ambientali Università degli studi di Messina Messina Italy.
Giuseppe MancusoDipartimento di Patologia Umana dell'adulto e dell'età evolutiva Gaetano Barresi Università degli studi Messina Gazzi (Me) Italy.
Corrado SpinellaLab SENS Beyond Nano CNR Messina Italy.
Wolfgang KnollDepartment of Scientific Coordination and Management Danube Private University Krems Austria.
Alessia IrreraLab SENS Beyond Nano CNR Messina Italy.
Sabrina ConociLab SENS Beyond Nano CNR Messina Italy.
University of Messina · ITInstitute for Microelectronics and Microsystems · ITDanube Private University · ATUniversity of Bari Aldo Moro · ITUniversity of Bologna · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent SARS-CoV-2 pandemic has highlighted the urgent need for novel point-of-care devices to be promptly used for a rapid and reliable large screening analysis of several biomarkers like genetic sequences and antibodies. Currently, one of the main limitations of rapid tests is the high percentage of false negatives in the presence of variants and, in particular for the Omicron one. We demonstrate in this work the detection of SARS-CoV-2 and the Omicron variant with a cost-effective silicon nanosensor enabling high sensitivity, selectivity, and fast response. We have shown that a silicon (Si) nanowires (NW) platform detects both Sars-CoV-2 and its Omicron variant with a limit of detection (LoD) of four effective copies (cps), without any amplification of the genome, and with high selectivity. This ultrasensitive detection of 4 cps allows to obtain an extremely early diagnosis paving the way for efficient and widespread tracking. The sensor is made with industrially compatible techniques, which in perspective may allow easy and cost-effective industrialization.

Indexed as

biosensoromicronoptical sensingSARS‐CoV‐2silicon nanowires

Identifiers

PMID36721465
PMCPMC9880655
OpenAlexW4313334884

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.