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Published on: November 7, 2016
Electronic Cortisol Detection Using an Antibody-Embedded Polymer Coupled to a Field-Effect Transistor.
Hyun-June Jang1, Taein Lee1, Jian Song1
1Department of Materials Science and Engineering , Johns Hopkins University , 3400 North Charles Street , Baltimore , Maryland 21218-2608 , United States.
This study presents a novel field-effect transistor cortisol sensor using an antibody-embedded polymer to overcome Debye length limitations. The sensor achieves high sensitivity and a low limit of detection for cortisol in physiological samples.
Area of Science:
- Biomedical Engineering
- Biosensor Technology
- Analytical Chemistry
Background:
- Cortisol detection is crucial for diagnosing various health conditions.
- Existing biosensors face challenges like the Debye length issue in physiological samples.
- Field-effect transistors (FETs) offer potential for sensitive biomolecule detection.
Purpose of the Study:
- To develop a FET-based cortisol sensor overcoming the Debye length limitation.
- To achieve sensitive and specific cortisol detection in physiological conditions.
- To validate the performance of the antibody-embedded polymer sensing membrane.
Main Methods:
- Fabrication of a FET with a remote gate functionalized with an antibody-embedded polymer.
- Synthesis of poly(styrene-co-methacrylic acid) (PSMA) linked with anticortisol antibodies.
- Characterization of sensor performance using varying cortisol concentrations in PBS and artificial sweat.
- Confirmation of antibody binding activity using a sandwich ELISA assay.
Main Results:
- The cortisol sensor demonstrated sensitivity ranging from 10 fg/mL to 10 ng/mL.
- A limit of detection (LOD) of 1 pg/mL was achieved in 1x PBS (λD = 0.2 nm).
- A LOD of 1 ng/mL was observed in lightly buffered artificial sweat.
- ELISA confirmed the specific binding activity of the antibody-embedded PSMA.
Conclusions:
- The developed FET-based cortisol sensor effectively overcomes the Debye length issue using an antibody-embedded polymer.
- The sensor exhibits high sensitivity and a low LOD for cortisol detection in physiological conditions.
- This technology holds promise for developing advanced cortisol monitoring devices.
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