Journal
LAB ON A CHIP
Volume 22, Issue 1, Pages 156-169Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d1lc00633a
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Funding
- National Science Foundation (NSF) Center for Hierarchical Manufacturing at the University of Massachusetts at Amherst [CMMI1025020]
- Nano-Bio Manufacturing Consortium (NBMC)
- Air Force Research Laboratory (AFRL) [FA8650-13-2-7311]
- National Science Foundation [CMMI-1727846]
- U.S. Department of Commerce, National Institute of Standards and Technology, Center for Hierarchical Materials Design (CHiMaD) [70NANB19H005]
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The research demonstrates a smart bandage microfluidic platform for cortisol detection and continuous glucose monitoring integrated with a synthetic skin. Through a series of tests, the potential of this low-cost, real-time sweat sensor for human health monitoring is validated.
Wearable sweat biosensors offer compelling opportunities for improved personal health monitoring and non-invasive measurements of key biomarkers. Inexpensive device fabrication methods are necessary for scalable manufacturing of portable, disposable, and flexible sweat sensors. Furthermore, real-time sweat assessment must be analyzed to validate measurement reliability at various sweating rates. Here, we demonstrate a smart bandage microfluidic platform for cortisol detection and continuous glucose monitoring integrated with a synthetic skin. The low-cost, laser-cut microfluidic device is composed of an adhesive-based microchannel and solution-processed electrochemical sensors fabricated from inkjet-printed graphene and silver solutions. An antibody-derived cortisol sensor achieved a limit of detection of 10 pM and included a low-voltage electrowetting valve, validating the microfluidic sensor design under typical physiological conditions. To understand effects of perspiration rate on sensor performance, a synthetic skin was developed using soft lithography to mimic human sweat pores and sweating rates. The enzymatic glucose sensor exhibited a range of 0.2 to 1.0 mM, a limit of detection of 10 mu M, and reproducible response curves at flow rates of 2.0 mu L min(-1) and higher when integrated with the synthetic skin, validating its relevance for human health monitoring. These results demonstrate the potential of using printed microfluidic sweat sensors as a low-cost, real-time, multi-diagnostic device for human health monitoring.
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