Evidence map›Paper›PMID 36995043›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS-CoV-2.

Razieh Salahandish, Jae Eun Hyun, Fatemeh Haghayegh, Hamed Osouli Tabrizi, Shirin Moossavi, Sultan Khetani, Giancarlo Ayala-Charca, Byron M Berenger, Yan Dong Niu, Ebrahim Ghafar-Zadeh and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Razieh SalahandishBioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Jae Eun HyunDepartment of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Fatemeh HaghayeghBioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Hamed Osouli TabriziBiologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada.
Shirin MoossaviBioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Sultan KhetaniBioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Giancarlo Ayala-CharcaBiologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada.
Byron M BerengerAlberta Public Health Laboratory, Alberta Precision Laboratories, 3330 Hospital Drive, Calgary, AB, T2N 4W4, Canada.
Yan Dong NiuDepartment of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Ebrahim Ghafar-ZadehBiologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada.
Amir Sanati NezhadBioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.ORCID 0000-0002-2309-2388

Funding

CIHR
6 · The paper itself

Abstract

The widespread accessibility of commercial/clinically-viable electrochemical diagnostic systems for rapid quantification of viral proteins demands translational/preclinical investigations. Here, Covid-Sense (CoVSense) antigen testing platform; an all-in-one electrochemical nano-immunosensor for sample-to-result, self-validated, and accurate quantification of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N)-proteins in clinical examinations is developed. The platform's sensing strips benefit from a highly-sensitive, nanostructured surface, created through the incorporation of carboxyl-functionalized graphene nanosheets, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) conductive polymers, enhancing the overall conductivity of the system. The nanoengineered surface chemistry allows for compatible direct assembly of bioreceptor molecules. CoVSense offers an inexpensive (<$2 kit) and fast/digital response (<10 min), measured using a customized hand-held reader (<$25), enabling data-driven outbreak management. The sensor shows 95% clinical sensitivity and 100% specificity (Ct<25), and overall sensitivity of 91% for combined symptomatic/asymptomatic cohort with wildtype SARS-CoV-2 or B.1.1.7 variant (N = 105, nasal/throat samples). The sensor correlates the N-protein levels to viral load, detecting high Ct values of ≈35, with no sample preparation steps, while outperforming the commercial rapid antigen tests. The current translational technology fills the gap in the workflow of rapid, point-of-care, and accurate diagnosis of COVID-19.

Indexed as

COVID-19SARS-CoV-2AntigensHumansNucleocapsidSensitivity and SpecificityAntigensclinical investigationelectrochemical nanobiosensorsgraphene nanosheetspoint-of-care diagnostics

Identifiers

PMID36995043
PMCPMC10214237

What OpenQuestion holds

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LicenceCC BY
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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.