Issue 33, 2023

Designing of a unique bioreceptor and fabrication of an efficient genosensing platform for neonatal sepsis detection

Abstract

We report the results of studies related to the fabrication of a nanostructured graphene oxide (GO)-based electrochemical genosensor for neonatal sepsis detection. Initially, we selected the fimA gene of E. coli for nenonatal sepsis detection and further designed a 20-mer long amine-terminated oligonucleotide. This designed oligonucleotide will work as a bioreceptor for the detection of the virulent fimA gene. An electrochemical genosensor was further developed where GO was used as an immobilization matrix. For the formation of a thin film of GO on an indium tin oxide (ITO)-coated glass electrode, an optimized DC potential of 10 V for 90 s was applied via an electrophoretic deposition unit. Thereafter, the designed oligonucleotides were immobilized through EDC–NHS chemistry. The nanomaterial and fabricated electrodes were characterized via X-ray diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy and cyclic voltammetry techniques. The fabricated genosensor (BSA/pDNA/GO/ITO) has the ability to detect the target fimA gene with a linear detection range of 10−12 M to 10−6 M, a lower detection limit of 10−12 M and a sensitivity of 114.7 μA M−1 cm−2. We also investigated the biosensing ability of the developed genosensor in an artificial serum sample and the obtained electrochemical results were within the acceptable percentage relative standard deviation (% RSD), indicating that the fabricated genosensor can be used for the detection of neonatal sepsis by using a serum sample.

Graphical abstract: Designing of a unique bioreceptor and fabrication of an efficient genosensing platform for neonatal sepsis detection

Supplementary files

Article information

Article type
Paper
Submitted
14 Apr 2023
Accepted
17 Jul 2023
First published
26 Jul 2023

Anal. Methods, 2023,15, 4066-4076

Designing of a unique bioreceptor and fabrication of an efficient genosensing platform for neonatal sepsis detection

N. Gopal, N. Chauhan, U. Jain, S. K. Dass, S. Kumar and R. Chandra, Anal. Methods, 2023, 15, 4066 DOI: 10.1039/D3AY00567D

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