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

Melanie Rudolph, Jonathan K. Harris, Erin L. Ratcliff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSmart Biomedical and Physiological Sensor Technology XV
EditorsBrian M. Cullum, Douglas Kiehl, Eric S. McLamore
PublisherSPIE
ISBN (Electronic)9781510627055
DOIs
StatePublished - Jan 1 2019
EventSmart Biomedical and Physiological Sensor Technology XV 2019 - Baltimore, United States
Duration: Apr 15 2019Apr 16 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11020
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSmart Biomedical and Physiological Sensor Technology XV 2019
CountryUnited States
CityBaltimore
Period4/15/194/16/19

Fingerprint

sweat
human performance
Performance Monitoring
Human Performance
Chemical Sensor
Reaction Kinetics
Chemical sensors
Real-time
Reaction kinetics
Sensor
Monitoring
Sensors
sensors
Responsivity
Military applications
Biomarkers
Fluidics
Finite Element Simulation
Fluid Dynamics
Selectivity

Keywords

  • Bio-recognition elements
  • Electrochemical detection
  • Human performance monitoring
  • Limit of detection
  • Predictive simulation
  • Real-time sensing
  • Sweat-sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Rudolph, M., Harris, J. K., & Ratcliff, E. L. (2019). Predicting limits of detection in real-time sweat-based human performance monitoring. In B. M. Cullum, D. Kiehl, & E. S. McLamore (Eds.), Smart Biomedical and Physiological Sensor Technology XV [110200O] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11020). SPIE. https://doi.org/10.1117/12.2518885

Predicting limits of detection in real-time sweat-based human performance monitoring. / Rudolph, Melanie; Harris, Jonathan K.; Ratcliff, Erin L.

Smart Biomedical and Physiological Sensor Technology XV. ed. / Brian M. Cullum; Douglas Kiehl; Eric S. McLamore. SPIE, 2019. 110200O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11020).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rudolph, M, Harris, JK & Ratcliff, EL 2019, Predicting limits of detection in real-time sweat-based human performance monitoring. in BM Cullum, D Kiehl & ES McLamore (eds), Smart Biomedical and Physiological Sensor Technology XV., 110200O, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11020, SPIE, Smart Biomedical and Physiological Sensor Technology XV 2019, Baltimore, United States, 4/15/19. https://doi.org/10.1117/12.2518885
Rudolph M, Harris JK, Ratcliff EL. Predicting limits of detection in real-time sweat-based human performance monitoring. In Cullum BM, Kiehl D, McLamore ES, editors, Smart Biomedical and Physiological Sensor Technology XV. SPIE. 2019. 110200O. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2518885
Rudolph, Melanie ; Harris, Jonathan K. ; Ratcliff, Erin L. / Predicting limits of detection in real-time sweat-based human performance monitoring. Smart Biomedical and Physiological Sensor Technology XV. editor / Brian M. Cullum ; Douglas Kiehl ; Eric S. McLamore. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
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