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Journal Article A Simple and Smart Telemedicine Device for Developing Regions: A Pocket-Sized Colorimetric Reader
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Authors
Dae-Sik Lee, Byoung Goo Jeon, Chunhwa Ihm, Je-Kyun Park, Mun Yeon Jung
Issue Date
2011-01
Citation
Lab on a Chip, v.11, no.1, pp.120-126
ISSN
1473-0197
Publisher
Royal Society of Chemistry (RSC)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1039/c0lc00209g
Abstract
We have proposed a novel mobile healthcare platform, combining a pocket-sized colorimetric reader (13.5 × 6.5 × 2.5 cm3) and commercially available 10-parameter urinalysis paper strips (glucose, protein, glucose, bilirubin, urobilinogen, ketones, nitrite, pH, specific gravity, erythrocytes, and leukocytes), capable of sending data with a smart phone. The reader includes a novel colorimetric multi-detection module, which consists of three-chromatic light-emitting diodes, silicon photodiodes and a novel poly(methylmethacrylate) (PMMA) optical splitter. We employed data reading methods using conversions of the signal data (red, blue, and green) to the hue (H) color map or the Y model data, and used a curve-fitting method for the quantification. The reader is battery-powered, inexpensive, light-weight, and very speedy in analysis. And, it was applied to detection of a thousand of human urine samples and demonstrated reliable quantification of urinary glucose and protein. The features can be used by unskilled people on-site to transfer the analyzed data to experts off-site. © 2011 The Royal Society of Chemistry.
KSP Keywords
Curve fitting method, Developing regions, Human urine samples, Light-weight, Mobile Healthcare, Model Data, Multi-detection, On-site, Optical Splitter, Silicon photodiodes, Smart Phone