Frontiers in Sensors (Dec 2024)

A microbead-enhanced electrochemical platform for β-amyloid peptide (1–42) detection

  • Claudia do Amaral Razzino,
  • Claudia do Amaral Razzino,
  • Lívia Flório Sgobbi,
  • Juliana Cancino-Bernardi,
  • Angelica Maria Mazuera Zapata,
  • Clara Cardoso Costa,
  • Valtencir Zucolotto,
  • Lucia Vieira,
  • Anderson Oliveira Lobo

DOI
https://doi.org/10.3389/fsens.2024.1508810
Journal volume & issue
Vol. 5

Abstract

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Alzheimer’s disease is the most prevalent form of dementia and is primarily characterized by the accumulation of β-amyloid and phosphorylated tau proteins in the brain, along with the degeneration of nerve cells, which leads to impairment of various cognitive functions. A significant biomarker of Alzheimer’s disease is the decreased level of soluble β-amyloid peptide (1–42) (Aβ1-42) in cerebrospinal fluid (CSF), as pathology progresses when CSF-Aβ1-42 levels drop below 192 pg mL−1. In this study, we developed an amperometric immunosensor based on magnetic beads as the platform for constructing the immunosensor. Monoclonal antibodies are immobilized on the MBs, enabling selective detection of Aβ1-42. The detection antibody is conjugated with the enzyme horseradish peroxidase, which, in the presence of H2O2 and hydroquinone, catalyzes the decomposition of H2O2 and the oxidation of hydroquinone to p-quinone, generating an electric current measured at a potential of −200 mV (vs. the Ag pseudo-reference electrode) using screen-printed carbon electrodes. The amperometric sandwich-type immunosensor demonstrates a linear response in the concentration range of 10 to 10,000 pg mL−1, with a detection limit of 7.4 pg mL−1, exhibiting excellent selectivity against the assessed interferents. These findings suggest the potential application of this immunosensor in the early diagnosis of Alzheimer’s disease, offering a sensitive and specific tool for clinical analysis. Despite its high performance, further studies are required to validate its robustness and applicability in complex clinical samples.

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