Evidence map›Paper›PMID 36346096›Full record

ArticleIEEE sensors journal2022

A Low-Cost Handheld Impedimetric Biosensing System for Rapid Diagnostics of SARS-CoV-2 Infections.

Giancarlo Ayala-Charca, Razieh Salahandish, Mahmood Khalghollah, Deniz Sadighbayan, Fatemeh Haghayegh, Amir Sanati-Nezhad, Ebrahim Ghafar-Zadeh

Open access · bronzeAbstract read
In one paragraph

Article in IEEE sensors journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Giancarlo Ayala-CharcaBiologically Inspired Sensors and ActuatorsDepartment of Electrical Engineering and Computer Science, Lassonde School of EngineeringYork University Toronto ON M3J1P3 Canada.ORCID https://orcid.org/0000-0002-2110-0305
Razieh SalahandishBioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Mechanical and Manufacturing EngineeringUniversity of Calgary Calgary AB T2N 1N4 Canada.ORCID https://orcid.org/0000-0003-1299-1051
Mahmood KhalghollahBioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Mechanical and Manufacturing EngineeringUniversity of Calgary Calgary AB T2N 1N4 Canada.
Deniz SadighbayanBiologically Inspired Sensors and ActuatorsDepartment of Electrical Engineering and Computer Science, Lassonde School of EngineeringYork University Toronto ON M3J1P3 Canada.ORCID https://orcid.org/0000-0003-3477-7689
Fatemeh HaghayeghBioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Mechanical and Manufacturing EngineeringUniversity of Calgary Calgary AB T2N 1N4 Canada.ORCID https://orcid.org/0000-0002-4680-2944
Amir Sanati-NezhadBioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Mechanical and Manufacturing EngineeringUniversity of Calgary Calgary AB T2N 1N4 Canada.ORCID https://orcid.org/0000-0002-2309-2388
Ebrahim Ghafar-ZadehBiologically Inspired Sensors and ActuatorsDepartment of Electrical Engineering and Computer Science, Lassonde School of EngineeringYork University Toronto ON M3J1P3 Canada.ORCID https://orcid.org/0000-0002-7090-2304
University of Calgary · CAYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current laboratory diagnostic approaches for virus detection give reliable results, but they require a lengthy procedure, trained personnel, and expensive equipment and reagents; hence, they are not a suitable choice for home monitoring purposes. This paper addresses this challenge by developing a portable impedimetric biosensing system for the identification of COVID-19 patients. This sensing system has two main parts: a throwaway two-working electrode (2-WE) strip and a novel read-out circuit, specifically designed for simultaneous signal acquisition from both working electrodes. Highly reliable electrochemical signal tracking from multiplex immunosensors provides a potential for flexible and portable multi-biomarker detection. The electrodes' surfaces were functionalized with SARS-CoV-2 Nucleocapsid Antibody enabling the selective detection of Nucleocapsid protein (N-protein) along with self-validation in the clinical nasopharyngeal swab specimens. The proposed programmable highly sensitive impedance read-out system allows for a wide dynamic detection range, which makes the sensor capable of detecting N-protein concentrations between 0.116 and 10,000 pg/mL. This lightweight and economical read-out arrangement is an ideal prospect for being mass-produced, especially during urgent pandemic situations. Also, such an impedimetric sensing platform has the potential to be redesigned for targeting not only other infectious diseases but also other critical disorders.

Indexed as

biosensordual electronic read-out systemimpedance measurementSARS-CoV-2

Identifiers

PMID36346096
PMCPMC9454264
OpenAlexW4285296132

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.