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Updated: May 25, 2026

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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
Published on: February 16, 2018
Increasing the detection speed of an all-electronic real-time biosensor
Matthew R Leyden1, Robert J Messinger, Canan Schuman
1Department of Physics, Oregon State University, Corvallis, OR 97331, USA.
Lab on a Chip
|January 19, 2012
Summary
Blocking upstream binding sites significantly enhances protein flux to carbon nanotube field-effect transistor biosensors. This strategy improves biosensor performance by optimizing mass transport for faster biomolecule detection.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Physical Chemistry
Background:
- Biosensor response time is critical for applications and depends on biomolecule transport.
- Carbon nanotube field-effect transistors (CNFETs) are promising nanoelectronic biosensors.
- Optimizing biomolecule delivery to the sensor surface is essential for improving performance.
Purpose of the Study:
- To investigate a strategy for enhancing protein flux to CNFET biosensors.
- To quantify the impact of blocking upstream binding sites on protein binding rates.
- To demonstrate a new method for characterizing nanoelectronic biosensor performance.
Main Methods:
- Fabrication of carbon nanotube field-effect transistor biosensors.
- Quantification of protein binding rates on nanoelectronic sensors.
- Application of a protein-repellent coating to block upstream binding sites.
- Mass transport modeling to determine maximal flux enhancement.
Main Results:
- A 2.5-fold increase in initial protein flux to the biosensor was observed when upstream binding sites were blocked.
- Mass transport modeling provided insights into the theoretical limits of flux enhancement.
- The study established a novel methodology for assessing nanoelectronic biosensor performance.
Conclusions:
- Blocking upstream binding sites is an effective strategy to enhance protein flux in biosensors.
- This mass transport optimization approach is applicable to various microfluidic-based biosensors.
- The findings contribute to the development of faster and more efficient biosensing technologies.

