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Flexible nanoporous tunable electrical double layer biosensors for sweat diagnostics.

Rujuta D Munje1, Sriram Muthukumar2, Anjan Panneer Selvam1

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This study presents a novel wearable biosensor for detecting the stress biomarker cortisol in sweat. The ultra-sensitive device utilizes an electrical double layer effect for highly specific and accurate stress monitoring.

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Wearable diagnostics require sensitive and specific detection of biomarkers.
  • Cortisol is a key stress biomarker, and its non-invasive monitoring is highly desirable.
  • Existing methods for cortisol detection often lack the sensitivity or portability for continuous monitoring.

Purpose of the Study:

  • To develop an ultra-sensitive and highly specific electrical double layer (EDL) modulated biosensor for wearable diagnostics.
  • To detect the stress biomarker cortisol in synthetic and human sweat.
  • To utilize nanoporous flexible substrates for enhanced biosensor performance.

Main Methods:

  • Fabrication of a biosensor using a zinc oxide thin film on a nanoporous flexible substrate.
  • Detection of cortisol by measuring impedance changes modulated by the electrical double layer (EDL).
  • Application of a low orthogonally directed alternating current (AC) electric field to amplify EDL capacitance changes.

Main Results:

  • Demonstrated high sensitivity for cortisol detection: 1 pg/mL in synthetic sweat and 1 ng/mL in human sweat.
  • Achieved high specificity, with IL-1β used as a control in synthetic sweat.
  • Successfully detected cortisol in human sweat over a concentration range of 10-200 ng/mL.

Conclusions:

  • The developed EDL-modulated biosensor offers a promising platform for sensitive and specific wearable cortisol monitoring.
  • Nanoporous flexible substrates significantly enhance EDL formation, improving biosensor performance.
  • This technology enables non-invasive, real-time stress level assessment through sweat analysis.