Paper
8 July 2015 Smart point-of-care systems for molecular diagnostics based on nanotechnology: whole blood glucose analysis
Jasmine P. Devadhasan, Sanghyo Kim
Author Affiliations +
Proceedings Volume 9523, International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015; 952302 (2015) https://doi.org/10.1117/12.2189576
Event: International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, 2015, Jeju, Korea, Republic of
Abstract
Complementary metal oxide semiconductor (CMOS) image sensors are received great attention for their high efficiency in biological applications. The present work describes a CMOS image sensor-based whole blood glucose monitoring system through a point-of-care (POC) approach. A simple poly-ethylene terephthalate (PET) film chip was developed to carry out the enzyme kinetic reaction at various concentrations of blood glucose. In this technique, assay reagent was adsorbed onto amine functionalized silica (AFSiO2) nanoparticles in order to achieve glucose oxidation on the PET film chip. The AFSiO2 nanoparticles can immobilize the assay reagent with an electrostatic attraction and eased to develop the opaque platform which was technically suitable chip to analyze by the camera module. The oxidized glucose then produces a green color according to the glucose concentration and is analyzed by the camera module as a photon detection technique. The photon number decreases with increasing glucose concentration. The simple sensing approach, utilizing enzyme immobilized AFSiO2 nanoparticle chip and assay detection method was developed for quantitative glucose measurement.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jasmine P. Devadhasan and Sanghyo Kim "Smart point-of-care systems for molecular diagnostics based on nanotechnology: whole blood glucose analysis", Proc. SPIE 9523, International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, 952302 (8 July 2015); https://doi.org/10.1117/12.2189576
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KEYWORDS
Glucose

CMOS sensors

Blood

Positron emission tomography

Image sensors

Sensors

Plasma

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