A label-free electrochemical immunosensor based on MWCNT-COOH/dPEDOT for early detection of Alzheimer's disease biomarker p-Tau 217
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Author list: Ariyasajjamongkol N.; Thongwattana N.; Luechaipanit W.; Haethaisong T.; Chongsuksantikul A.; Oangkhana P.; Thanapornsangsuth P.; Paradee N.; Phasuksom K.; Sirivat A.
Publisher: Elsevier
Publication year: 2025
Journal: Journal of Electroanalytical Chemistry (1572-6657)
Volume number: 992
ISSN: 1572-6657
Languages: English-Great Britain (EN-GB)
Abstract
Phosphorylated tau protein at threonine 217 (p-Tau 217) has emerged as a significant biomarker for Alzheimer's disease (AD). In this study, a label-free electrochemical immunosensor (LBEI) was developed for p-Tau 217 detection by utilizing acid-treated multiwalled carbon nanotubes (MWCNT-COOH) and doped poly(3,4-ethylenedioxythiophene) (dPEDOT). The incorporation of dPEDOT enhances the electrical conductivity of the electrode, facilitating improved sensor performance. The MWCNTs were functionalized with carboxyl groups (COOH) and activated using EDC-NHS chemistry to serve as effective linkers for antibody immobilization. The concentrations of p-Tau 217 were quantified using differential pulse voltammetry (DPV). This technique was not previously reported for p-Tau 217 detection. In addition, the calibration of the immunosensor with two commercial synthetic p-Tau 217 were nearly identical results, confirming the accuracy of the immunosensor. The immunosensor exhibited a wide-range calibration curve across three concentration regimes from 0.1 to 105 pg/mL, with a limit of detection (LOD) of 0.1 pg/mL. The immunosensor performances also demonstrated acceptable selectivity, stability, and reproducibility. Furthermore, the sensor successfully detected p-Tau 217 in human cerebrospinal fluid (CSF), illustrating its potential for practical clinical applications. This study highlights the potential of label-free electrochemical immunosensors incorporating MWCNT-COOH/dPEDOT as highly efficient and promising platforms for the development of portable diagnostic devices for the clinical detection of Alzheimer's disease. © 2025 Elsevier B.V.
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