A Wearable Diagnostic Platform Based on RGB Color Scheme

Overview

This work tested the feasibility of creating a cheap and easy to use platform for measuring the amounts of different analytes, or molecules and ions of interest. Versatile wearable devices for monitoring the levels of metabolites, signaling molecules, and pathogens are critical for the shift of medical practice toward personalized and preventive medicine. The main hypothesis tested in this project is that RGB color model can be used to measure the amount of glucose, a model medically relevant analyte. Measurement method focused on colorimetric assay coupled with the enzymatic oxidation of glucose. Control experiments revealed drawbacks of the initial approach and required adjustments in the experimental design. Experimental data supported the main idea of this project and showed that the main hypothesis was valid. Concentration of glucose was readily measured from RGB values of colored solutions. The outcomes of experiments revealed two critical points: 1) in the analysis of the RGB values, ratios of colors rather than individual colors should be used for reliable measurements and 2) low level and high level of glucose should be measured separately. These results provided the foundation for further work: entrapment of indicator dyes in nanocapsules allowed expansion of a platform; a hydrogel with embedded dye-loaded nanocapsules was created as imitation skin, and a wearable prototype device was built using an Arduino controller and programmed to give response based on color recognition.

Competition history

• AJAS 2020 Category not listed

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