Juan Carlos G, Potelon Benjamin, Aquino Anyela, García-Martínez Héctor, Quendo Cédric
Univ. Brest, CNRS, Lab-STICC, UMR CNRS 6285, 29238, Brest, France.
Neuroengineering Biomedical Research Group, Institute of Bioengineering, Miguel Hernández University of Elche, 03202, Elche, Spain.
Sci Rep. 2024 Oct 4;14(1):23076. doi: 10.1038/s41598-024-72061-3.
This work presents a microwave resonant multi-parameter sensor devoted to the simultaneous extraction of three characteristics of a homogeneous solid sample: its dielectric permittivity, its loss tangent and its thickness. The device is composed of three coupled resonators in two different substrate boards, having the sample between the boards, in a sandwich configuration. Presence of the sample impacts the electrical response of the device, not only influencing resonators, but also by affecting inter-resonator couplings. A method to analyse the response of the device, allowing for the extraction of the desired characteristics of the sample is proposed, as well as an experimental calibration procedure. The model is built upon 990 simulations, calibrated with three reference-samples measurements and then tested over 18 experimental measurements, with good results, thereby validating the multi-parameter sensing approach.
这项工作展示了一种微波谐振多参数传感器,用于同时提取均匀固体样品的三个特性:介电常数、损耗角正切和厚度。该装置由位于两块不同基板中的三个耦合谐振器组成,样品夹在两块板之间,呈三明治结构。样品的存在会影响装置的电响应,不仅影响谐振器,还会影响谐振器之间的耦合。本文提出了一种分析该装置响应的方法,可用于提取样品所需的特性,同时还介绍了一种实验校准程序。该模型基于990次模拟构建,通过对三个参考样品的测量进行校准,然后在18次实验测量中进行测试,结果良好,从而验证了多参数传感方法。