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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
Published on: February 16, 2018
A novel interdigitated capacitor based biosensor for detection of cardiovascular risk marker
Anjum Quershi1, Yasar Gurbuz, Weng P Kang
1Sabanci University, Faculty of Engineering and Natural Sciences, Tuzla, 34956 Istanbul, Turkey.
Biosensors & Bioelectronics
|September 25, 2009
Summary
This study presents a novel capacitive biosensor using gold interdigitated electrodes on nanocrystalline diamond for detecting C-reactive protein (CRP). The biosensor effectively captures CRP-antigen, showing potential for early disease diagnosis.
Area of Science:
- Biosensor Technology
- Nanomaterials Science
- Biomedical Engineering
Background:
- Elevated C-reactive protein (CRP) levels indicate cardiovascular disease risk and inflammation.
- Accurate and sensitive detection of CRP is crucial for early disease diagnosis.
Purpose of the Study:
- To develop a novel capacitive biosensor for detecting C-reactive protein (CRP) antigen.
- To utilize interdigitated gold electrodes on a nanocrystalline diamond surface for enhanced detection capabilities.
Main Methods:
- Fabrication of a capacitive biosensor with gold interdigitated electrodes (GID) on a nanocrystalline diamond (NCD) surface.
- Functionalization of the GID-NCD surface with antibodies for CRP-antigen capture.
- Detection of CRP-antigen via capacitive/dielectric-constant measurements and analysis using the Cole-Cole model.
Main Results:
- Immobilization of antibodies on the GID-NCD surface was confirmed using FT-IR and contact angle measurements.
- A significant increase in relaxation time constant (tau) from 10(-16)-10(-13)s to 10(-11)s was observed upon CRP-antigen binding.
- The biosensor demonstrated concentration-dependent (25-800 ng/ml) and frequency-dependent (50-350 MHz) responses to CRP-antigen.
Conclusions:
- The developed GID-NCD based capacitive biosensor shows promise for sensitive and specific detection of CRP-antigen.
- This technology has the potential for early diagnosis of diseases by detecting elevated levels of protein risk markers.
- Further optimization could lead to a valuable tool for clinical diagnostics.

