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Dataset Information

Monte Carlo method for assessment of a multimodal insertable biosensor.


ABSTRACT:

Significance

Continuous glucose monitors (CGMs) are increasingly utilized as a way to provide healthcare to the over 10% of Americans that have diabetes. Fully insertable and optically transduced biosensors are poised to further improve CGMs by extending the device lifetime and reducing cost. However, optical modeling of light propagation in tissue is necessary to ascertain device performance.

Aim

Monte Carlo modeling of photon transport through tissue was used to assess the luminescent output of a fully insertable glucose biosensor that uses a multimodal Förster resonance energy transfer competitive binding assay and a phosphorescence lifetime decay enzymatic assay.

Approach

A Monte Carlo simulation framework of biosensor luminescence and tissue autofluorescence was

SUBMITTER: Fine J 

PROVIDER: S-EPMC9064117 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature