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    Predicting limits of detection in real-time sweat-based human performance monitoring

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    Author
    Rudolph, Melanie
    Harris, Jonathan
    Ratcliff, Erin L.
    Affiliation
    Univ Arizona, Dept Mat Sci & Engn
    Issue Date
    2019-05-02
    Keywords
    Sweat-sensing
    Human performance monitoring
    predictive simulation
    limit of detection
    real-time sensing
    bio-recognition elements
    electrochemical detection
    
    Metadata
    Show full item record
    Publisher
    SPIE-INT SOC OPTICAL ENGINEERING
    Citation
    Melanie Rudolph, Jonathan K. Harris, and Erin L. Ratcliff "Predicting limits of detection in real-time sweat-based human performance monitoring", Proc. SPIE 11020, Smart Biomedical and Physiological Sensor Technology XVI, 110200O (2 May 2019); https://doi.org/10.1117/12.2518885
    Journal
    SMART BIOMEDICAL AND PHYSIOLOGICAL SENSOR TECHNOLOGY XV
    Rights
    © 2019 SPIE
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Sweat-based human performance monitoring devices offer the possibility of real-time emotional and cognitive awareness in both civilian and military applications. Broad applicability and point of use necessitate non-invasive, printable, flexible, wearable chemical sensors with low power consumption. Sweat fluidics must enable movement of sweat across the sensor compartment within 1 minute to assure only fresh sweat is at the chemical sensor. The sensor material should have reaction kinetics to capture a sufficient number of target molecules for quantification in real-time (< 1minute). Chemical selectivity is critical in complex biofluids such as sweat, which may be comprised of 800+ biomarkers. Given these constraints, there continues to be significant technological barriers for translation from laboratory-based proof-of-concept demonstrations and scalable manufacturing of devices. Using finite element simulations, we focus on determining which sweat flow geometry and chemical capture dynamics are best suited to meet temporal performance requirements. Two common sensing approaches are compared and contrasted: bio-recognition chemical adsorption events and electrochemical detection. Responsivity of both mechanisms is shown to be highly dependent on fluid dynamics, analyte capture efficiency, analyte concentration, and reaction kinetics. Key metrics of temporal response and capture efficiency will be discussed for a number of state of the art electronic sensor materials, with a focus on the validity of printable platforms.
    ISSN
    0277-786X
    DOI
    10.1117/12.2518885
    Version
    Final published version
    Sponsors
    Air Force Research Laboratory [F A8650-13-2-731 1]; Defense and Security Research Institute through the Technology and Research Initiative FUND (TRIF) of Arizona
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2518885
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