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A Cardiac Troponin T Biosensor Based on Aptamer Self-assembling on Gold
Masoud Negahdary1,2, Mostafa Behjati-Ardakani2, Hossein Heli1
1Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
International Journal of Molecular and Cellular Medicine
|June 27, 2020
Summary
A new aptasensor accurately detects troponin T (TnT), a key biomarker for myocardial infarction. This biosensor offers sensitive and early diagnosis, improving patient outcomes and reducing healthcare costs.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Cardiology
Background:
- Myocardial infarction (MI) diagnosis relies on biomarkers like troponin T (TnT).
- Early and accurate TnT detection is crucial for timely intervention and improved patient prognosis.
- Existing diagnostic methods may have limitations in sensitivity, speed, or cost.
Purpose of the Study:
- To develop a sensitive and accurate aptasensor for the early detection of myocardial infarction.
- To establish an electrochemical method for quantifying troponin T (TnT) using an aptamer-based biosensor.
- To evaluate the diagnostic performance of the aptasensor in human serum samples.
Main Methods:
- Immobilization of a specific aptamer sequence with high affinity for TnT onto a gold surface.
- Electrochemical quantification of TnT using the developed aptasensor.
- Validation of the aptasensor's performance using 99 human serum samples.
Main Results:
- The aptasensor demonstrated sensitive detection of TnT within a range of 0.05-5 ng/mL.
- A low detection limit of 0.01 ng/mL was achieved.
- The aptasensor exhibited high diagnostic sensitivity and specificity, both at 95%.
Conclusions:
- The developed aptamer-based biosensor provides a sensitive and accurate method for early myocardial infarction detection.
- This biosensor has the potential to significantly impact health policy by reducing MI mortality and heart failure incidence.
- Widespread adoption of this aptasensor could lead to reduced costs, faster diagnosis, and improved accuracy for TnT detection.

