Enhanced Alzheimer's biomarker detection using a ternary composite electrochemical aptasensor

Area of Science:

• Biomedical Engineering
• Nanotechnology
• Electrochemistry

Background:

• Alzheimer's disease (AD) diagnosis requires sensitive and specific detection methods.
• Existing methods face limitations in sensitivity and specificity for early AD detection.
• Aβ1-40 oligomers are key biomarkers for early Alzheimer's disease diagnosis.

Purpose of the Study:

• To develop a highly sensitive electrochemical aptasensor for early Alzheimer's disease diagnosis.
• To overcome the limitations of current diagnostic tools for AD.
• To create a versatile biosensor platform for detecting specific biomarkers.

Main Methods:

• Fabrication of a ternary composite sensor using polypyrrole (PPy), reduced graphene oxide (rGO), and Fe₂O₃ nanoparticles.
• Utilizing aptamers as biorecognition elements for Aβ1-40 oligomer detection.
• Employing electrochemical techniques (CV, DPV, EIS) for sensor characterization and performance evaluation.

Main Results:

• Achieved an ultra-low detection limit of 40 fM for Aβ1-40 oligomers.
• Demonstrated a broad linear detection range from 0.1 pM to 200 nM.
• Exhibited exceptional sensitivity, selectivity, reproducibility, and stability in artificial serum samples.

Conclusions:

• The developed aptasensor shows significant potential for early Alzheimer's disease diagnosis and monitoring.
• The sensor's robust and modular design allows for adaptation to detect other target biomolecules.
• This advancement offers a versatile and highly sensitive tool for biomedical diagnostics and personalized medicine.