Abstract

Chloride level in sweat is a major diagnostic criterion for cystic fibrosis (CF) and many other health conditions. In an effort to develop a low cost, point-of-care sweat diagnostics system for chloride concentration measurement, we demonstrated a smartphone-based chloridometer to measure sweat chloride by using our recently developed fluorescence chloride sensor. We characterized the performance of our device to validate its clinical potential. The study indicates that our smartphone-based chloridometer may potentially advance the point-of-care diagnostic system by reducing cost and improving diagnostic accuracy.

Original languageEnglish (US)
Title of host publicationUltrafast Nonlinear Imaging and Spectroscopy V
EditorsZhiwen Liu, Kebin Shi, Iam Choon Khoo, Demetri Psaltis
PublisherSPIE
ISBN (Electronic)9781510612174
DOIs
StatePublished - 2017
EventUltrafast Nonlinear Imaging and Spectroscopy V 2017 - San Diego, United States
Duration: Aug 6 2017Aug 7 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10380
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherUltrafast Nonlinear Imaging and Spectroscopy V 2017
Country/TerritoryUnited States
CitySan Diego
Period8/6/178/7/17

All Science Journal Classification (ASJC) codes

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

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