@article{10902/36607,
year = {2025},
month = {5},
url = {https://hdl.handle.net/10902/36607},
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.},
organization = {This work was supported by the PhD grant from Mohammed VI Polytechnic University.},
publisher = {MDPI},
publisher = {Biosensors, 2025, 15(5), 282},
title = {Microwave antenna sensing for glucose monitoring in a vein model mimicking human physiology},
author = {Zaarour, Youness and El Arroud, Fatimazahrae and Fernández Ibáñez, Tomás and Cano de Diego, Juan Luis and El Alami, Rafiq and El Mrabet, Otman and Benani, Abdelouheb and Faik, Abdessamad and Griguer, Hafid},
}