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Monte Carlo method for assessment of a multimodal insertable biosensor.

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

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

Journal of Biomedical Optics
|May 4, 2022
PubMed
Summary

Optical modeling advances continuous glucose monitors (CGMs) for diabetes management. Simulations show far-red light enables reliable detection from insertable biosensors, improving future CGM technology.

Keywords:
Monte Carlobiosensorsdiabetesremote health

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Area of Science:

  • Biomedical Engineering
  • Optical Physics
  • Diabetes Technology

Background:

  • Continuous glucose monitors (CGMs) are vital for diabetes care, with over 10% of Americans affected.
  • Fully insertable, optically transduced biosensors promise extended device life and reduced costs for CGMs.
  • Accurate optical modeling of light propagation in tissue is crucial for predicting biosensor performance.

Purpose of the Study:

  • To assess the luminescent output of a fully insertable glucose biosensor using Monte Carlo modeling.
  • To investigate the impact of light excitation wavelengths on biosensor signal strength and detectability.
  • To develop and validate a computational framework for simulating biosensor luminescence and tissue autofluorescence.

Main Methods:

  • Utilized Monte Carlo modeling of photon transport to simulate biosensor luminescence.
  • Employed a multimodal Förster resonance energy transfer (FRET) and phosphorescence lifetime decay assay.
  • Validated the Monte Carlo simulation framework (MCmatlab) against prior research.

Main Results:

  • A far-red excitation diode, within safety limits, produced detectable luminescent emission from the biosensor.
  • The computational model predicted significantly higher fluorescent power output with near-infrared (NIR) actuation compared to visible light.
  • Simulations indicated that NIR light actuation yielded a five-orders-of-magnitude greater fluorescent power output.

Conclusions:

  • Optical modeling is essential for optimizing fully insertable glucose biosensors.
  • Far-red excitation enables sufficient signal detection for practical CGM applications.
  • NIR-actuated biosensors offer superior fluorescent output, enhancing potential for advanced CGM designs.