Label-free sub-picomolar protein detection with field-effect transistors
Pedro Estrela1, Debjani Paul, Qifeng Song
1Electrical Engineering Division, Department of Engineering, University of Cambridge, 9 J. J. Thomson Avenue, Cambridge CB3 0FA, UK. p.estrela@bath.ac.uk
Analytical Chemistry
|April 17, 2010
Summary
This study introduces peptide aptamers integrated with field-effect transistors (FETs) for highly sensitive, label-free protein detection. This novel biosensor achieves sub-picomolar detection of human cyclin-dependent kinase 2 (CDK2), crucial for disease diagnosis.
Area of Science:
- Biotechnology
- Biosensor Technology
- Molecular Diagnostics
Background:
- Proteins are key biomarkers for disease diagnosis, but current antibody-based detection methods face limitations, especially on 2D surfaces.
- Developing sensitive and specific protein detection methods is critical for advancing clinical diagnostics.
Purpose of the Study:
- To develop a novel label-free protein detection system using peptide aptamers and field-effect transistors (FETs).
- To demonstrate the capability of this system for detecting clinically relevant protein targets at sub-picomolar concentrations.
Main Methods:
- Integration of peptide aptamers with extended gate metal-oxide-semiconductor field-effect transistors (MOSFETs).
- Immobilization of peptide aptamers specific to cyclin-dependent kinase (CDK) family proteins on the transistor gate.
- Detection of human CDK2 using the fabricated FET arrays.
Main Results:
- Achieved label-free detection of human CDK2 at concentrations as low as 100 fM (5 pg/mL).
- Demonstrated high target specificity of the peptide aptamer-FET system.
- Confirmed ease of fabrication and scalability of the FET arrays for multiplexed sensing.
Conclusions:
- Peptide aptamer-functionalized FETs offer a promising platform for highly sensitive, label-free protein detection.
- This technology has significant potential for advancing molecular diagnostics and disease biomarker monitoring.
- The multiplexable field-effect format is suitable for scalable protein sensing applications.
