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Extraction and Analysis of Cortisol from Human and Monkey Hair
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Highly sensitive and rapid sequential cortisol detection using twin sensor QCM.

Takeshi Ito1, Nobuyoshi Aoki1, Satoru Kaneko1

  • 1Kanagawa Industrial Technology Center, Shimoimaizumi 705-1, Ebina, Kanagawa, 243-0435 Japan.

Analytical Methods : Advancing Methods and Applications
|August 30, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a rapid cortisol detection system using a quartz crystal microbalance (QCM) sensor. The system enables quick, sequential analysis for stress monitoring and disease diagnosis.

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Area of Science:

  • Analytical Chemistry
  • Biomedical Engineering
  • Sensor Technology

Background:

  • Cortisol monitoring is crucial for stress and disease diagnosis.
  • Existing methods for cortisol detection can be time-consuming.
  • Need for rapid, sensitive, and reliable cortisol detection systems.

Purpose of the Study:

  • To develop a rapid, sequential analysis system for cortisol detection.
  • To integrate flow injection analysis with a quartz crystal microbalance (QCM) sensor chip.
  • To establish a sensitive and quantitative method for cortisol level measurement.

Main Methods:

  • Utilized a twin sensor chip QCM system with one sensor for antigen-antibody interaction and another as a reference.
  • Employed a competitive assay using cortisol-bovine serum albumin (Crt-BSA) tracer.
  • Implemented a glycine-NaOH solution for antigen-antibody binding uncoupling to enable sequential analysis.

Main Results:

  • Achieved a detection cycle time of under 10 minutes, including regeneration.
  • Demonstrated quantitative detection of cortisol in the range of 5 pg mL⁻¹ to 100 pg mL⁻¹.
  • The system effectively removed environmental influences using a reference sensor.

Conclusions:

  • The developed sensor system offers a rapid and sensitive method for cortisol detection.
  • Potential applications include active stress monitoring and disease diagnosis.
  • The integration of flow injection analysis with QCM enhances sequential detection capabilities.