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Issue 19, 2013
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CMOS image sensors as an efficient platform for glucose monitoring

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Abstract

Complementary metal oxide semiconductor (CMOS) image sensors have been used previously in the analysis of biological samples. In the present study, a CMOS image sensor was used to monitor the concentration of oxidized mouse plasma glucose (86–322 mg dL−1) based on photon count variation. Measurement of the concentration of oxidized glucose was dependent on changes in color intensity; color intensity increased with increasing glucose concentration. The high color density of glucose highly prevented photons from passing through the polydimethylsiloxane (PDMS) chip, which suggests that the photon count was altered by color intensity. Photons were detected by a photodiode in the CMOS image sensor and converted to digital numbers by an analog to digital converter (ADC). Additionally, UV-spectral analysis and time-dependent photon analysis proved the efficiency of the detection system. This simple, effective, and consistent method for glucose measurement shows that CMOS image sensors are efficient devices for monitoring glucose in point-of-care applications.

Graphical abstract: CMOS image sensors as an efficient platform for glucose monitoring

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Publication details

The article was received on 22 Apr 2013, accepted on 05 Jul 2013 and first published on 05 Jul 2013


Article type: Paper
DOI: 10.1039/C3AN00805C
Citation: Analyst, 2013,138, 5679-5684
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    CMOS image sensors as an efficient platform for glucose monitoring

    J. P. Devadhasan, S. Kim and C. S. Choi, Analyst, 2013, 138, 5679
    DOI: 10.1039/C3AN00805C

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