Research Papers: Sensing

Whole blood glucose analysis based on smartphone camera module

[+] Author Affiliations
Jasmine Pramila Devadhasan

Gachon University, Department of Bionanotechnology, Sungnam-461-701, Republic of Korea

Hyunhee Oh, Cheol Soo Choi

Gachon Medical Research Institute, Gil Medical Center, Incheon, 405-760, Republic of Korea

Korea Mouse Metabolic Phenotyping Center, Gachon University, Lee Gil Ya Cancer and Diabetes Institute, Gil Medical Center, Incheon 405-760, Republic of Korea

Sanghyo Kim

Gachon University, Department of Bionanotechnology, Sungnam-461-701, Republic of Korea

Gachon Medical Research Institute, Gil Medical Center, Incheon, 405-760, Republic of Korea

J. Biomed. Opt. 20(11), 117001 (Nov 02, 2015). doi:10.1117/1.JBO.20.11.117001
History: Received August 1, 2015; Accepted October 5, 2015
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Abstract.  Complementary metal oxide semiconductor (CMOS) image sensors have 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) chip was developed to carry out the enzyme kinetic reaction at various concentrations (110586mg/dL) of mouse blood glucose. In this technique, assay reagent is immobilized onto amine functionalized silica (AFSiO2) nanoparticles as an electrostatic attraction in order to achieve glucose oxidation on the chip. The assay reagent immobilized AFSiO2 nanoparticles develop a semi-transparent reaction platform, which is technically a suitable chip to analyze by a 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 when the glucose concentration increases. The combination of these components, the CMOS image sensor and enzyme immobilized PET film chip, constitute a compact, accurate, inexpensive, precise, digital, highly sensitive, specific, and optical glucose-sensing approach for POC diagnosis.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Jasmine Pramila Devadhasan ; Hyunhee Oh ; Cheol Soo Choi and Sanghyo Kim
"Whole blood glucose analysis based on smartphone camera module", J. Biomed. Opt. 20(11), 117001 (Nov 02, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.11.117001


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