Cited by 24Electrochemical sensors and biosensorsAnalytical Chemistry and SensorsNeuroscience and Neural Engineering

Simulations of the Frequency Response of Implantable Glucose Sensors

Jablecki, Michael, Gough, David A.·2000·Analytical Chemistry

Abstract

The response of enzyme electrode glucose sensors implanted in tissues to physiologic blood glucose oscillations is simulated. Models describe both oxygen-based and peroxide-based glucose sensors in spatially homogeneous medium simulating some mass transfer properties of tissue. Pass-through ratios and delays are reported as a function of frequency for the oxygen-based sensor, and the effects on continuous blood glucose monitoring are illustrated using data from the literature. Certain peroxide-based sensor designs may produce common signals for different glucose concentrations, a characteristic not found in oxygen-based sensors. The dynamic response depends on the frequency of glucose oscillation and is sensitive to sensor type, enzyme activity, and diffusional resistance.

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Registry

Crossref · 10.1021/ac991018z

Cites

22 of 22 references verified0 citation errors · 0 not checkable

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  • Jablecki and Gough's simulations concluded that increased mass transfer would increase lag and could potentially reduce the magnitude and differences when glucose sensor signals fluctuate between high and low.

    “Simulations of glucose concentration oscillations by Jablecki and Gough concluded that increases in mass transfer would increase lag and could potentially decrease the magnitude and differences when fluctuating between high and low glucose sensor signals.110”
  • The positive correlation between lag time and capsule thickness supported the models described above.

    “The positive correlation between lag time and capsule thickness supported the models described above.107,110–111”
  • The increases in mass transfer in those simulations were not attributed to any specific part of the FBR and could arise from collagen capsule thickness, blood vessel density, or other unanticipated factors.

    “the increases to mass transfer were not attributed to any specific part of the FBR and could originate from collagen capsule thickness, blood vessel density, or other unanticipated factors.”

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Authors
Jablecki, M., & Gough, D. A.
Affiliations
University of California San Diego (US)
Corresponding author
Gough, David A.
Venue
Analytical Chemistry
Published
2000-03-17
Volume
72
Issue
8
Pages
1853-1859
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W1971946532
Cited by
24
References
22
Citations by year
2019: 1 · 2017: 2 · 2015: 1 · 2013: 2 · 2012: 1
FWCI
0.86
Type
journal article
Language
en
Open access
closed
Locations
  • Analytical Chemistry (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institutes of Health
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
  • Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Keywords
implantable glucose sensor, frequency response, continuous glucose monitoring, sensor delay, diffusion resistance, sensor modeling
MeSH terms
Algorithms, Blood Glucose, Computer Simulation, Models, Biological, Biosensing Techniques

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