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Updated: Jul 26, 2026

Synthesis, Characterization, and Application of Superparamagnetic Iron Oxide Nanoprobes for Extrapulmonary Tuberculosis Detection
Published on: February 16, 2020
A novel electrochemical immunosensor for the determination of tuberculosis diagnosis exploiting graphene-affinity
Beatriz A Braz1, Manuel Hospinal-Santiani2, Gustavo Martins3
1Molecular Biology Laboratory, Graduate Program in Bioprocess Engineering and Biotechnology, Federal University of Paraná (UFPR), CEP 81531-980, Curitiba, PR, Brazil; Laboratory of Electrochemical Sensors (LabSensE), Department of Chemistry, Federal University of Paraná (UFPR), CP 19032, CEP 81531-980, Curitiba, PR, Brazil.
Abstract:
Conventional methods for diagnosing tuberculosis (TB), a significant global health challenge, often have drawbacks like time-consuming procedures, limited sensitivity, and the need for complex, expensive infrastructure. Hence, the development of electrochemical immunosensors has emerged as a promising strategy for TB detection due to their simplicity, speed, sensitivity, portability, and cost-effectiveness. In this study, we developed a rapid, simple, and low-cost immunosensor using a lab-made screen-printed electrode (SPE) based on the peptide TB 68-G as a recognition site. This synthetic peptide is composed of two important parts, one with an affinity for graphene materials and the other able to interact with anti-M. tuberculosis antibodies. This structural configuration allows for effective modification of the electrode surface while maintaining the ability to recognize the target. The proposed label-free electrochemical immunosensor was tested against M. tuberculosis antibodies and demonstrated a detection limit of 192 ng mL-1 with an R2 value of 0.98. The diagnostic platform exhibited selectivity against nonspecific antibodies and successfully differentiated between negative and positive human serum samples with a 95 % confidence interval. This simple and affordable immunosensor holds great potential to impact TB control by enabling effective detection and improving disease surveillance.
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