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Colorimetric Schirmer Strip for Tear Glucose Detection

  • Kang, Byoung-Hoon (Department of Bio and Brain Engineering and KAIST Institute for Optical Science and Technology, Korea Advanced Institute of Science and Technology (KAIST)) ;
  • Park, Moonseong (Department of Bio and Brain Engineering and KAIST Institute for Optical Science and Technology, Korea Advanced Institute of Science and Technology (KAIST)) ;
  • Jeong, Ki-Hun (Department of Bio and Brain Engineering and KAIST Institute for Optical Science and Technology, Korea Advanced Institute of Science and Technology (KAIST))
  • Received : 2017.05.29
  • Accepted : 2017.07.31
  • Published : 2017.12.30

Abstract

Human tears have attracted attention with easy-accessible indicators of healthcare monitoring. Recently self-monitoring of tear glucose in place of blood glucose has been developed with microfluidic paper-based analysis for a non-invasive diagnosis of diabetes. However, most previous works still have many limitations in unstable sample collection, low sensitivity, and insufficient sample volume. Here, we report a colorimetric Schirmer strip with preconcentration for tear glucose detection. A wax barrier on a paper strip enables tear collection of a fixed quantity as well as biocompatible incorporation of tear collection and detection by preventing flow reversal of reagents. Additional solvent was injected on a sampling site after tear collection, which accumulates the dispersed glucose into active site by capillary-driven flow for signal amplification. Glucose concentration was quantitatively detected at 0.1-2 mM by using a simple colorimetric method without any further image processing. The color changes in glucose concentration were clearly distinguishable between normal and diabetic patient-level. The colorimetric paper strip allows straightforward sensing platform for noninvasive diagnosis of diabetes and direct application of paper-based technology to the human body fluids.

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Acknowledgement

Supported by : National Research Foundation of Korea (NRF), Korea Health Industry Development Institute (KHIDI)

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