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Updated: Dec 11, 2025

Development and Validation of an Ultrasensitive Single Molecule Array Digital Enzyme-linked Immunosorbent Assay for Human Interferon-α
Published on: June 14, 2018
Anxiety determination by antibody-conjugated nanoparticles on an interdigitated electrode sensor
Xijian Wang1, Subash C B Gopinath2,3, Jiexing Li1
1Department of Psychiatry, Southeast Corner of the Intersection of Aerospace Avenue and Baomao Expressway, Xi'an Mental Health Center, Chang'an District, Xi'an, 710061 Shaanxi China.
This study developed a novel sensor for detecting cortisol, a key stress hormone. Silver nanoparticle-conjugated antibodies improved detection limits, aiding in potential anxiety disorder diagnosis.
Area of Science:
- Electrochemistry
- Biosensing
- Nanotechnology
Background:
- Cortisol is a crucial biomarker for stress and anxiety disorders.
- Accurate and sensitive cortisol detection is vital for clinical diagnostics.
- Existing detection methods may lack sensitivity or require complex procedures.
Purpose of the Study:
- To develop a highly sensitive and selective electrochemical sensor for cortisol detection.
- To utilize silver nanoparticles for enhanced antibody immobilization and signal amplification.
- To establish a reliable method for quantifying cortisol relevant to anxiety disorder assessment.
Main Methods:
- Conjugating anti-cortisol antibodies with silver nanoparticles for improved sensor surface immobilization.
- Employing an interdigitated electrode sensor for electrochemical detection of cortisol.
- Performing dose-dependent analysis and linear regression with 3σ calculation for limit of detection determination.
Main Results:
- The sensor demonstrated a dose-dependent response to cortisol.
- The limit of detection for cortisol was determined to be in the range of 0.01–0.1 ng/mL.
- The sensor exhibited high selectivity for cortisol over other hormones like norepinephrine and progesterone.
Conclusions:
- The developed sensor offers high performance for selective cortisol detection.
- This technology shows promise for non-invasive monitoring and diagnosis of anxiety disorders.
- Further research can explore its application in clinical settings for stress-related condition management.
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