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Electrochemical Biosensor Based on Laser-Induced Graphene for COVID-19 Diagnosing: Rapid and Low-Cost Detection of SARS-CoV-2 Biomarker Antibodies

Authors :
Marcely Echeverria Oliveira
Bruno Vasconcellos Lopes
Jéssica Helisa Hautrive Rossato
Guilherme Kurz Maron
Betty Braga Gallo
Andrei Borges La Rosa
Raphael Dorneles Caldeira Balboni
Mariliana Luiza Ferreira Alves
Marcos Roberto Alves Ferreira
Luciano da Silva Pinto
Fabricio Rochedo Conceição
Evandro Piva
Claudio Martin Pereira de Pereira
Marcia Tsuyama Escote
Neftali Lenin Villarreal Carreño
Source :
Surfaces, Vol 5, Iss 1, Pp 187-201 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

The severe acute respiratory syndrome originated by the new coronavirus (SARS-CoV-2) that emerged in late 2019, known to be a highly transmissible and pathogenic disease, has caused the COVID-19 global pandemic outbreak. Thus, diagnostic devices that help epidemiological public safety measures to reduce undetected cases and isolation of infected patients, in addition to significantly help to control the population’s immune response to vaccine, are required. To address the negative issues of clinical research, we developed a Diagnostic on a Chip platform based on a disposable electrochemical biosensor containing laser-induced graphene and a protein (SARS-CoV-2 specific antigen) for the detection of SARS-CoV-2 antibodies. The biosensors were produced via direct laser writing using a CO2 infrared laser cutting machine on commercial polyimide sheets. The presence of specific antibodies reacting with the protein and the K3[Fe(CN)6] redox indicator produced characteristic and concentration-dependent electrochemical signals, with mean current values of 9.6757 and 8.1812 µA for reactive and non-reactive samples, respectively, proving the effectiveness of testing in clinical samples of serum from patients. Thus, the platform is being expanded to be measured in a portable microcontrolled potentiostat to be applied as a fast and reliable monitoring and mapping tool, aiming to assess the vaccinal immune response of the population.

Details

Language :
English
ISSN :
25719637
Volume :
5
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Surfaces
Publication Type :
Academic Journal
Accession number :
edsdoj.14e4eeabf61c40cab656888a06f16b2e
Document Type :
article
Full Text :
https://doi.org/10.3390/surfaces5010012