Label-free RNA-based electrochemical nanobiosensor for detection of Hepatitis C

• Published in: Current research in biotechnology Vol. 2; pp. 187 - 192
• Main Authors: Roohizadeh, Atie, Ghaffarinejad, Ali, Salahandish, Razieh, Omidinia, Eskandar
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2020; Elsevier
• Subjects: Au nanoparticles; Copper oxide; Electrochemical RNA-based sensor; Hepatitis C; Nitrogen-doped graphene; Electrochemical RNA-based sensor; Au nanoparticles; Hepatitis C; Nitrogen-doped graphene; Copper oxide
• ISSN: 2590-2628; 2590-2628
• DOI: 10.1016/j.crbiot.2020.11.004

[Display omitted] •A new nanocomposite of NG, Cu2O, and Au NPs is designed for biosensing application.•The nanocomposite has high conductivity and stability.•The fabricated RNA-based biosensor has a wide dynamic range for HCV RNA detection.•The sensitivity and selectivity of the biosensor for HCV RNA is good.•The proposed biosensor was successfully used in blood sample. In this study, an ultrasensitive label-free nanobiosensor for detecting the Hepatitis C virus (HCV) RNA was fabricated, without the need for target denaturation, by using an RNA oligomer as a probe. The biosensor was prepared by electrodeposition of the copper oxide (Cu2O) and gold nanoparticles (AuNPs) on the nitrogen-doped graphene (NG) coated fluorine-doped tin oxide electrode (FTOE). The thiolated complementary probe of RNA virus was adsorbed on the AuNPS through monolayer self-assembly (SAM), after that, the RNA target of HCV virus binds to its complementary sequence which leads to a significant change in differential pulse voltammetry (DPV) response of the probe in the presence of Fe(CN)63−/4− as redox sensing probe. Various important parameters were optimized and at optimum conditions, the nanobiosensor had a wide dynamic range (1 × 10−15–1 × 10−6 mol. L−1) with a very low detection limit of 1 × 10−15 mol. L−1. The biosensor was successfully evaluated in the blood real samples and according to its good selectivity, wide linear range, acceptable reproducibility, and repeatability; the proposed biosensor has a suitable ability for detection of the HCV RNA in clinical applications.