Variants of the tissue-sensor array window chamber
Abstract
Sensors are being developed that can be implanted in tissues for continuous monitoring of oxygen, glucose, and other metabolites. However, there have been difficulties in inferring metabolite concentrations in blood from the signals of tissue sensors due to the properties of tissues at the implant site and local physiological phenomena that can affect sensor responses. A multisensor array has been previously developed for implantation in a hamster skinfold window chamber preparation to study these effects. The preparation allows recording of concentration-dependent signals from multiple sensors while nondestructively visualizing the adjacent tissue and microvascular function. Variants of the tissue-sensor array window chamber described here have respective advantages over the original chamber design, including improved tissue visualization and reduced surgical intervention, and allow exposure of the sensor to different tissues. Results indicate that mass transfer within tissues is heterogeneous, and sensor signals are affected by variable perfusion of local microvasculature in addition to vascular metabolite concentration. These observations suggest new strategies for sensor design and operation. Window chamber variants are important tools for validation of implanted sensors.
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The optical tissue window enables tissue monitoring and correlation with sensor performance.
“The optical tissue window enables tissue monitoring and correlation to the sensor performance.116–118”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [116]
Anesthesia is not required to observe tissue in real time, which matters because anesthesia can alter microvasculature circulation.
“Anesthesia is not required to observe the tissue in real-time, an important consideration for glucose sensor performance correlation as anesthesia can alter microvasculature circulation.116”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [116]
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References 25 · Cited by 16
- Authors
- Makale, M. T., Chen, P. C., & Gough, D. A.
- Affiliations
- University of California San Diego (US)
- Venue
- American Journal of Physiology-Heart and Circulatory Physiology
- Publisher
- American Physiological Society
- Published
- 2005-07
- Volume
- 289
- Issue
- 1
- Pages
- H57-H65
- ISSN
- 0363-6135 (ISSN-L)
- 1522-1539
- OpenAlex
- W1986133086
- Cited by
- 16
- References
- 25
- Citations by year
- 2021: 1 · 2019: 1 · 2013: 3
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Physiology-Heart and Circulatory Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- oxygen sensing, glucose detection, metabolite concentrations, microvascular blood flow, sensor validation, tissue visualization, sensor design
- MeSH terms
- Animals, Blood Vessels, Electrodes, Implanted, Equipment Design, Cricetinae, Male, Mesocricetus, Oxygen, Skin, Biosensing Techniques
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