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Exploring electrochemical impedance spectroscopy for the early diagnosis of Mycobacterium tuberculosis using CFP10:ESAT6 protein detection.

Authors :
Ribeiro, Luisa Vogado
Cancino-Bernardi, Juliana
Razzino, Claudia do Amaral
Machado, Thales Rafael
Tuesta, Marco A. M.
Zucolotto, Valtencir
Source :
Frontiers in Sensors (2673-5067); 2025, p1-10, 10p
Publication Year :
2025

Abstract

Tuberculosis (TB) was, until SARS-CoV-2 pandemic, the leading cause of death by a single infectious agent contaminating over 10.6 million people with 1.6 million deaths in 2021 worldwide. Herein, we present a proof-of-principle strategy for detecting the recombinant protein CFP10:ESAT6 using an impedimetric immunosensor, which could aid in the diagnosis of tuberculosis. The immunosensor was developed using indium tin oxide electrodes modified by 3-aminopropyltrimethoxysilane monolayer to covalently immobilize anti-CFP10 antibodies. The protein interaction with the antibody recognition platform was directly monitored and measured by cyclic voltammetry and electrochemical impedance spectroscopy, respectively. After the analytical features optimization, a Langmuir isotherm response from 0.5 ng mL<superscript>-1</superscript> to 50 ng mL<superscript>-1</superscript> of pCFP10:ESAT6, limit of detection of 4.80 ng mL<superscript>-1</superscript> and limit of quantification of 15.97 ng mL<superscript>-1</superscript> were achieved, in a 4-hour assay time. Selectivity tests conducted in the presence of DENV NS1 and SARS-CoV-2 Spike proteins at a concentration of 20 ng mL<superscript>-1</superscript>, which is one-tenth of the concentration used to optimize pCFP10, indicate that the immunosensor is selective for pCFP10:ESAT6. Additionally, repeatability and reproducibility tests confirm that the immunosensor is suitable, accurate, and selective for detecting the CFP10:ESAT6 protein. The small sample volume required, and short testing time underscore the remarkable capabilities of this immunosensor and its potential for point-of-care screening and diagnostic aid applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26735067
Database :
Complementary Index
Journal :
Frontiers in Sensors (2673-5067)
Publication Type :
Academic Journal
Accession number :
182101921
Full Text :
https://doi.org/10.3389/fsens.2024.1512936