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Whole blood glucose analysis based on smartphone camera module.

Jasmine Pramila Devadhasan1, Hyunhee Oh2, Cheol Soo Choi2

  • 1Gachon University, Department of Bionanotechnology, Sungnam-461-701, Republic of Korea.

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This study presents a novel point-of-care system for whole blood glucose monitoring using complementary metal oxide semiconductor (CMOS) image sensors. The system offers a compact, accurate, and inexpensive optical glucose-sensing approach for diagnosis.

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Area of Science:

  • Biomedical Engineering
  • Optical Sensing
  • Point-of-Care Diagnostics

Background:

  • Complementary metal oxide semiconductor (CMOS) image sensors are highly efficient for biological applications.
  • Existing glucose monitoring methods may lack portability or accuracy for point-of-care (POC) use.

Purpose of the Study:

  • To develop a CMOS image sensor-based system for whole blood glucose monitoring using a POC approach.
  • To create an inexpensive, accurate, and sensitive optical glucose-sensing method.

Main Methods:

  • A poly-ethylene terephthalate (PET) chip was designed for enzyme kinetic reactions with mouse blood glucose.
  • Assay reagents were immobilized on amine functionalized silica (AFSiO2) nanoparticles for glucose oxidation.
  • A CMOS camera module analyzed the color change (green) and photon detection for glucose concentration measurement.

Main Results:

  • The system accurately measured mouse blood glucose concentrations ranging from 110–586 mg/dL.
  • Increased glucose concentration resulted in a decrease in detected photon numbers.
  • The developed system demonstrated high sensitivity, specificity, and precision.

Conclusions:

  • The CMOS image sensor and enzyme-immobilized PET chip form a compact, accurate, and cost-effective optical glucose-sensing system.
  • This approach provides a digital, highly sensitive, and specific method for POC glucose diagnosis.
  • The developed system holds promise for improved point-of-care diabetes management.