Paper 13312-22
A reusable, wireless, battery-free, non-invasive sweat cortisol sensor
27 January 2025 • 11:20 AM - 11:40 AM PST | Moscone Center, Room 204 (Level 2 South)
Abstract
The profound impact of stress on health underscores the need for precise and objective measurement techniques, as traditional self-report questionnaires often fall short in reliability. Molecular biosensors, especially those targeting cortisol—a critical stress hormone—offer a compelling alternative. This study presents an innovative wearable sensing system that utilizes a molecularly imprinted polymer-radiofrequency (MIP-RF) mechanism for non-invasive, real-time cortisol detection in sweat. The system is designed to be wireless, flexible, battery-free, reusable, and environmentally stable, ideal for long-term use with an inductance-capacitance transducer that translates cortisol levels into resonant frequency shifts with high sensitivity within a physiological range of 0-1μM. The device is further enhanced with NFC for seamless, battery-free operation and a 3D-printed microfluidic channel for direct sweat collection, facilitating continuous cortisol monitoring during daily activities. Validation through circadian rhythm tracking, which compares morning and evening cortisol levels, confirms its effectiveness for precise molecular stress biomarker detection.
Presenter
Rahim Esfandyarpour
Univ. of California, Irvine (United States)
Rahim Esfandyar-Pour received his M.Sc. and Ph.D. in Electrical Engineering from Stanford University in 2010 and 2014. He is currently an assistant professor in the departments of Electrical Engineering & Computer Science and Biomedical Engineering at the University of California, Irvine. He is also directing the Integrated NanoBioelectronics Innovation Lab. His multidisciplinary team applies innovative engineering solutions to address major challenges in modern life science. The team's current research activity focuses on Nanobioelectronics & Nanomaterials for soft and wearable electronics, Nanodevices, Nanobio-integrated technologies & materials for cellular & 3D-tissue interfaces, and smart bioelectronics systems for personalized healthcare & energy applications.