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Updated: May 3, 2026

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The Use of a β-lactamase-based Conductimetric Biosensor Assay to Detect Biomolecular Interactions
Published on: February 1, 2018
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Molecularly imprinted electrochemical biosensor for thrombin detection by comparing different monomers.
Fatih Turk1, Nimet Yildirim-Tirgil1,2
1Metallurgical & Materials Engineering Department, Faculty of Engineering & Natural Sciences, Ankara Yıldırım Beyazıt University, Ankara, 06010, Turkey.
Bioanalysis
|March 1, 2024
Summary
Molecularly imprinted polymers (MIPs) offer enhanced electrochemical biosensors for detecting thrombin. Dopamine-based MIPs demonstrate superior sensitivity, stability, and selectivity for clinical diagnostics.
Area of Science:
- Biomarker Detection
- Electrochemical Biosensors
- Polymer Science
Background:
- Thrombin is a critical protein biomarker.
- Accurate thrombin detection is vital for clinical diagnostics.
- Molecularly imprinted polymers (MIPs) are promising for biosensor development.
Purpose of the Study:
- To investigate MIPs for electrochemical thrombin detection.
- To compare the performance of different monomers (dopamine, thionine, ethanolamine) in MIP synthesis.
- To evaluate monomer-specific advantages in sensitivity, specificity, and stability.
Main Methods:
- Synthesis of MIPs using dopamine, thionine, and ethanolamine as monomers.
- Characterization of sensor surfaces using electrochemical methods and atomic force microscopy.
- Evaluation of sensor performance, focusing on monomer-dependent electrochemical responses.
Main Results:
- Dopamine-based MIPs exhibited superior signal change and stability over 30 days.
- Achieved a low limit of detection (5 pg/ml) and a broad linear range (5-200 pg/ml).
- Demonstrated enhanced selectivity against potential interfering substances.
Conclusions:
- Dopamine-based MIPs are highly promising for developing high-performance electrochemical thrombin biosensors.
- These MIPs show significant potential for applications in clinical diagnostics.
- Monomer selection critically influences MIP performance in biosensing applications.
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