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Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
Published on: September 16, 2014
Label-free and reagent-less protein biosensing using aptamer-modified extended-gate field-effect transistors
1Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10 Kanda-Surugadai, Chiyoda, Tokyo 101-0062, Japan. goda.bsr@tmd.ac.jp
We developed aptamer-based field-effect transistor (FET) biosensors for detecting lysozyme and thrombin. These biosensors show high sensitivity and specificity, even in complex biological samples like fetal bovine serum (FBS).
Area of Science:
- Biotechnology
- Nanotechnology
- Biosensing
Background:
- Field-effect transistors (FETs) offer a platform for label-free biosensing.
- Aptamers are short DNA or RNA sequences that can bind specific targets with high affinity and specificity.
- Developing sensitive and specific protein detection methods is crucial for diagnostics.
Purpose of the Study:
- To develop aptamer-modified FET biosensors for detecting lysozyme and thrombin.
- To evaluate the performance of these biosensors in terms of sensitivity, specificity, and dynamic range.
- To assess the biosensors' functionality in complex biological matrices.
Main Methods:
- Covalent immobilization of aptamers on a gold electrode of an FET to form a self-assembled monolayer (SAM).
- Utilizing aptamer-based potentiometry in a multi-parallel microelectrode array format.
- Real-time monitoring of gate potential changes upon protein binding.
Main Results:
- The aptamer-FET biosensors successfully detected lysozyme and thrombin with dynamic ranges of 15.2-1040 nM and 13.4-1300 nM, respectively.
- Limits of detection were as low as 12.0 nM for lysozyme and 6.7 nM for thrombin.
- Robust signals were achieved even in 10% fetal bovine serum (FBS), demonstrating specificity and stability.
Conclusions:
- Aptamer-modified FET biosensors provide a sensitive and specific platform for protein detection.
- The developed technology is CMOS-compatible, enabling low-cost manufacturing, miniaturization, and integration.
- This approach holds promise for developing advanced diagnostic tools.
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