Microwave Antenna Sensing for Glucose Monitoring in a Vein Model Mimicking Human Physiology

Non-invasive glucose monitoring has become a critical area of research for diabetes management, offering a less intrusive and more patient-friendly alternative to traditional methods such as finger-prick tests. This study presents a novel approach using a semi-solid tissue-mimicking phantom designed to replicate the dielectric properties of human skin and blood vessels. The phantom was simplified to focus solely on the skin layer, with embedded channels representing veins to achieve realistic glucose monitoring conditions. These channels were filled with D-(+)-Glucose solutions at varying concentrations (60 mg/dL to 200 mg/dL) to simulate physiological changes in blood glucose levels. A miniature patch antenna optimized to operate at 14 GHz with a penetration depth of approximately 1.5 mm was designed and fabricated. The antenna was tested in direct contact with the skin phantom, allowing for precise measurements of the changes in glucose concentration without interference from deeper tissue layers. Simulations and experiments demonstrated the antenna's sensitivity to variations in glucose concentration, as evidenced by measurable shifts in the dielectric properties of the phantom. Importantly, the system enabled stationary measurements by injecting glucose solutions into the same blood vessels, eliminating the need to reposition the sensor while ensuring reliable and repeatable results. This work highlights the importance of shallow penetration depth in targeting close vessels for noninvasive glucose monitoring, and emphasizes the potential of microwave-based sensing systems as a practical solution for continuous glucose management.

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Institutions

Publication Details

Journal
Biosensors
Published
2025-04-30
DOI
https://doi.org/10.3390/bios15050282
Citations
5
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
3.37

Funders

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article

Microwave Antenna Sensing for Glucose Monitoring in a Vein Model Mimicking Human Physiology

T. Fernández, Rafiq El Alami, Abdessamad Faik, Otman El Mrabet et al.
5 citations
Biosensors
Wireless Body Area Networks
3.37
article

Microwave Antenna Sensing for Glucose Monitoring in a Vein Model Mimicking Human Physiology

T. Fernández, Rafiq El Alami, Abdessamad Faik, Otman El Mrabet, Hafid Griguer, Juan Luis Cano, Abdelouaheb Benani, Youness Zaarour, Fatimazahrae El Arroud
article en
5 citations

Abstract

Non-invasive glucose monitoring has become a critical area of research for diabetes management, offering a less intrusive and more patient-friendly alternative to traditional methods such as finger-prick tests. This study presents a novel approach using a semi-solid tissue-mimicking phantom designed to replicate the dielectric properties of human skin and blood vessels. The phantom was simplified to focus solely on the skin layer, with embedded channels representing veins to achieve realistic glucose monitoring conditions. These channels were filled with D-(+)-Glucose solutions at varying concentrations (60 mg/dL to 200 mg/dL) to simulate physiological changes in blood glucose levels. A miniature patch antenna optimized to operate at 14 GHz with a penetration depth of approximately 1.5 mm was designed and fabricated. The antenna was tested in direct contact with the skin phantom, allowing for precise measurements of the changes in glucose concentration without interference from deeper tissue layers. Simulations and experiments demonstrated the antenna's sensitivity to variations in glucose concentration, as evidenced by measurable shifts in the dielectric properties of the phantom. Importantly, the system enabled stationary measurements by injecting glucose solutions into the same blood vessels, eliminating the need to reposition the sensor while ensuring reliable and repeatable results. This work highlights the importance of shallow penetration depth in targeting close vessels for noninvasive glucose monitoring, and emphasizes the potential of microwave-based sensing systems as a practical solution for continuous glucose management.

BiosensorsVol. 15(5)
Universidad de Cantabria (ES), Abdelmalek Essaâdi University (MA), Université Mohammed VI Polytechnique (MA), Institut Pasteur du Maroc (MA)
Université Mohammed VI Polytechnique
Openalex Percentile: Top 8%
Wireless Body Area Networks
3.37
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