Molecularly selective nanoporous membrane-based wearable organic electrochemical device for noninvasive cortisol sensing

• Published in: Science advances Vol. 4; no. 7; p. eaar2904
• Main Authors: Parlak, Onur, Keene, Scott Tom, Marais, Andrew, Curto, Vincenzo F., Salleo, Alberto
• Format: Journal Article
• Language: English
• Published: United States American Association for the Advancement of Science 01.07.2018
• Subjects: Biomimetic Materials - chemistry; Biosensing Techniques - instrumentation; Biosensing Techniques - methods; Health and Medicine; Humans; Hydrocortisone - analysis; Materials Science; Microfluidics; Molecular Imprinting; Nanopores; Polymers - chemistry; SciAdv r-articles; Sweat - metabolism; Transistors, Electronic; Wearable Electronic Devices
• ISSN: 2375-2548; 2375-2548
• DOI: 10.1126/sciadv.aar2904

A new wearable nanoporous organic electrochemical device used as a medical diagnostics tool for noninvasive hormone sensing. Wearable biosensors have emerged as an alternative evolutionary development in the field of healthcare technology due to their potential to change conventional medical diagnostics and health monitoring. However, a number of critical technological challenges including selectivity, stability of (bio)recognition, efficient sample handling, invasiveness, and mechanical compliance to increase user comfort must still be overcome to successfully bring devices closer to commercial applications. We introduce the integration of an electrochemical transistor and a tailor-made synthetic and biomimetic polymeric membrane, which acts as a molecular memory layer facilitating the stable and selective molecular recognition of the human stress hormone cortisol. The sensor and a laser-patterned microcapillary channel array are integrated in a wearable sweat diagnostics platform, providing accurate sweat acquisition and precise sample delivery to the sensor interface. The integrated devices were successfully used with both ex situ methods using skin-like microfluidics and on human subjects with on-body real-sample analysis using a wearable sensor assembly.