4.7 Article

Electrochemical Biosensor for SARS-CoV-2 cDNA Detection Using AuPs-Modified 3D-Printed Graphene Electrodes

Journal

BIOSENSORS-BASEL
Volume 12, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/bios12080622

Keywords

electrochemical (bio)sensor; 3D printed electrode; AuP modified electrode; SARS-CoV-2; creatinine

Funding

  1. Brazilian agency FAPESP [2017/21097-3, 2022/06145-0, 2018/19750-3]
  2. Brazilian agency CAPES [88887.510506/2020-00, 88887.510880/2020-00, 001]
  3. Brazilian agency CNPq [303338/2019-9, 427731/2018-6, 307271/2017-0]
  4. Brazilian agency INCTBio (CNPq) [465389/2014-7]

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A low-cost and disposable graphene polylactic (G-PLA) 3D-printed electrode modified with gold particles (AuPs) was developed to detect the cDNA of SARS-CoV-2 and creatinine, a potential biomarker for COVID-19. The study demonstrated that this approach offers a fast, simple, and cost-effective analysis.
A low-cost and disposable graphene polylactic (G-PLA) 3D-printed electrode modified with gold particles (AuPs) was explored to detect the cDNA of SARS-CoV-2 and creatinine, a potential biomarker for COVID-19. For that, a simple, non-enzymatic electrochemical sensor, based on a Au-modified G-PLA platform was applied. The AuPs deposited on the electrode were involved in a complexation reaction with creatinine, resulting in a decrease in the analytical response, and thus providing a fast and simple electroanalytical device. Physicochemical characterizations were performed by SEM, EIS, FTIR, and cyclic voltammetry. Square wave voltammetry was employed for the creatinine detection, and the sensor presented a linear response with a detection limit of 0.016 mmol L-1. Finally, a biosensor for the detection of SARS-CoV-2 was developed based on the immobilization of a capture sequence of the viral cDNA upon the Au-modified 3D-printed electrode. The concentration, immobilization time, and hybridization time were evaluated in presence of the DNA target, resulting in a biosensor with rapid and low-cost analysis, capable of sensing the cDNA of the virus with a good limit of detection (0.30 mu mol L-1), and high sensitivity (0.583 mu A mu mol(-1 )L). Reproducible results were obtained (RSD = 1.14%, n = 3), attesting to the potentiality of 3D-printed platforms for the production of biosensors.

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