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Updated: May 14, 2026

Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
Published on: February 16, 2018
Design of a high sensitive non-faradaic impedimetric sensor
Anjan Panneer Selvam1, Krishna M Vattipalli, Shalini Prasad
1Bioengineering Department,University of Texas at Dallas, Richardson, TX 75080 USA. axp107120@utdallas.edu
This study demonstrates a novel electrochemical sensor for detecting cardiac biomarker brain natriuretic peptide (BNP) at ultra-low concentrations. The printed circuit board (PCB) based sensor achieves a sensitivity of 10 femtograms/mL, offering a clinically relevant detection limit.
Area of Science:
- Electrochemistry
- Biosensing
- Nanotechnology
Background:
- Antigen-antibody interactions are crucial in diagnostics.
- Detecting biomarkers at ultra-low concentrations remains a challenge.
- Electrochemical sensors offer sensitive and label-free detection methods.
Purpose of the Study:
- To develop and characterize an electrochemical impedimetric sensor for detecting protein interactions.
- To achieve ultra-low concentration detection of cardiac biomarkers.
- To demonstrate a clinically relevant limit of detection for brain natriuretic peptide (BNP).
Main Methods:
- Fabrication of a non-faradaic impedimetric sensor on a printed circuit board (PCB) chip.
- Utilizing nanoporous alumina as a signal amplification medium.
- Characterizing sensor sensitivity using brain natriuretic peptide (BNP) and Nyquist plot analysis.
Main Results:
- Demonstrated an electrical methodology for detecting protein interactions at femtogram/mL concentrations.
- Achieved a sensitivity of 10 femtograms/mL for BNP detection.
- This represents the first demonstration of a clinically relevant limit of detection for BNP using this approach.
Conclusions:
- The developed electrochemical sensor provides a highly sensitive method for biomarker detection.
- Nanoporous alumina enhances signal amplification for ultra-low concentration analysis.
- This technology holds promise for early disease diagnosis through sensitive biomarker identification.
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