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Geometry design for a fully insertable glucose biosensor with multimodal optical readout.

Jesse Fine1, Gerard L Coté1,2, Michael J McShane1,2,3

  • 1Texas A&M University, Department of Biomedical Engineering, College Station, Texas, United States, United States.

Journal of Biomedical Optics
|November 19, 2022
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Summary
This summary is machine-generated.

Optimized insertable optical continuous glucose monitors (CGMs) improve signal detection for diabetes management. Computational modeling confirmed a new biosensor design enhances luminescent output and ensures accurate glucose monitoring in vivo.

Keywords:
biophotonicsfluorescenceimplanted deviceslifetimephosphorescencespectroscopywearable sensors

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Area of Science:

  • Biomedical Engineering
  • Optical Biosensors
  • Diabetes Technology

Background:

  • Insertable optical continuous glucose monitors (CGMs) require small form factors for effective tissue signal transmission.
  • Optimizing biosensor geometry is crucial for meeting performance criteria in fully insertable CGMs.
  • Multimodal repeating unit (barcode) designs show promise for insertable optical CGM technology.

Purpose of the Study:

  • Evaluate the geometry of a fully insertable multimodal optical biosensor.
  • Assess optical output and in vivo species diffusion characteristics.
  • Optimize biosensor design for enhanced performance in continuous glucose monitoring.

Main Methods:

  • Utilized Monte Carlo modeling to assess luminescent output of biosensor designs.
  • Analyzed sensitivity to displacement, overall size, and repeating unit dimensions.
  • Employed experimentally validated multiphysics modeling for diffusion and reaction analysis.

Main Results:

  • A stacked cylinder biosensor (4.4 mm length, 0.36 mm repeating units) demonstrated superior luminescent output compared to existing designs.
  • Biosensors with enzymatic elements did not significantly impact local glucose diffusion.
  • Computational modeling guided the design for sufficient optical output and chemical diffusion.

Conclusions:

  • Computational modeling successfully designed an insertable optical CGM with adequate in vivo performance.
  • The optimized biosensor geometry ensures reliable optical signal and accurate glucose diffusion profiles.
  • This work advances the development of fully insertable optical CGMs for diabetes management.