Glucose solution concentration detection using TE₀₁₁ microwave resonant cavity

ABSTRACT

In this paper, a glucose solution concentration measurement method is proposed based on microwave resonant cavity perturbation technique. The mathematical model of TE₀₁₁ cylindrical resonator in terms of solution concentration is derived. The optimal geometry of cavity is determined by high frequency structure simulator. A brass cavity with a PVC capillary tube is produced in this study. A microwave measurement system consisting of resonator, waveguide and network analyzer is constructed to measure glucose concentrations from 70 to 150 mg/dl, using frequency range 7.539–7.546 GHz. Statistical results indicate that the resonant frequency of solution increases linearly as glucose concentration increases. Frequency shift slope (FSS) of experiment is in good accordance with the FSS of theoretical calculation, which shows the feasibility and accuracy of the method.

KEYWORDS:

• Electromagnetic waves
• resonant cavity sensor
• perturbation technique
• blood glucose
• glucose concentration

ORCID

Qiao Li http://orcid.org/0000-0002-1602-5275

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 61271323].

Notes on contributors

Qiao Li

Qiao Li received the B.S. degree in electrical engineering from Shaanxi University of science and technology, Xi'an, China, in 2016. Currently, he is a master student in integrated circuit engineering at Tianjin University. His research interests is solution concentration detection using resonant cavity.

Xia Xiao

Xia Xiao received the Ph.D. degree in 2002 in electronic and information technology from the Technical University of Chemnitz (TU Chemnitz), Chemnitz, Germany, and the M.S. and B.S. degrees in 1996 in condensed physics and in 1993 in physics, respectively, both from Tianjin Normal University, Tianjin, China. In 2003, she joined the School of Electronic Information Engineering, Tianjin University, where she is currently a Professor. Her current research interests include advanced algorithms for early breast cancer detection by UWB, non-destructive characterization of film properties by surface acoustic waves (SAWs), and solution concentration detection using resonant cavity.

Hao Fu

Hao Fu received the B.S. degree in electrical information engineering in 2014 from Tianjin University of Technology. He also received the M.S. degrees in electrical information engineering in 2017 from Tianjin University. His research interests include solution concentration detection using resonant cavity.

Liang Wang

Liang Wang received the B.S. and M.S. degrees in electrical information engineering in 2010 and 2013, respectively, from Tianjin University, where he is currently a Ph.D. student in electrical information engineering. His current research interests include medical imaging and numerical method in biomedical engineering, including microwave breast cancer detection as well as the signal processing in interdisciplinary problems.