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基于基底集成波导倒锥型腔的高灵敏度微流控传感器用于液体复介电常数测量

A High-Sensitivity Microfluidic Sensor Based on a Substrate Integrated Waveguide Re-Entrant Cavity for Complex Permittivity Measurement of Liquids.

机构信息

College of Engineering and Technology, Southwest University, Chongqing 400715, China.

出版信息

Sensors (Basel). 2018 Nov 16;18(11):4005. doi: 10.3390/s18114005.

Abstract

In this study, a novel non-invasive and contactless microwave sensor using a square substrate integrated waveguide (SIW) re-entrant cavity is proposed for complex permittivity measurement of chemical solutions. The working principle of this sensor is based on cavity perturbation technique, in which the resonant properties of cavity are utilized as signatures to extract the dielectric information of liquid under test (LUT). A winding microfluidic channel is designed and embedded in the gap region of the cavity to obtain a strong interaction between the induced electric field and LUT, thus achieving a high sensitivity. Also, a mathematical predictive model which quantitatively associates the resonant properties of the sensor with the dielectric constant of LUT is developed through numerical analysis. Using this predictive model, quick and accurate extraction of the complex permittivity of LUT can be easily realized. The performance of this sensor is then experimentally validated by four pure chemicals (hexane, ethyl acetate, DMSO and water) together with a set of acetone/water mixtures in various concentrations. Experimental results demonstrate that the designed sensor is capable of characterizing the complex permittivities of various liquids with an accuracy of higher than 96.76% (compared with the theoretical values obtained by Debye relaxation equations), and it is also available for quantifying the concentration ratio of a given binary mixture.

摘要

在这项研究中,提出了一种使用方形基片集成波导(SIW)倒锥形腔的新型非接触式微波传感器,用于化学溶液的复介电常数测量。该传感器的工作原理基于腔微扰技术,利用腔的谐振特性作为特征来提取被测液体(LUT)的介电信息。设计并嵌入了一个缠绕式微流道在腔的间隙区域,以获得感应电场与 LUT 之间的强相互作用,从而实现高灵敏度。此外,通过数值分析建立了一个数学预测模型,定量地将传感器的谐振特性与 LUT 的介电常数相关联。通过使用该预测模型,可以轻松实现 LUT 复介电常数的快速准确提取。然后,通过四组纯化学物质(己烷、乙酸乙酯、DMSO 和水)以及一组不同浓度的丙酮/水混合物对该传感器的性能进行了实验验证。实验结果表明,设计的传感器能够以高于 96.76%的精度(与由德拜弛豫方程获得的理论值相比)对各种液体的复介电常数进行表征,并且还可用于定量测量给定二元混合物的浓度比。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa70/6263498/1faab2633f40/sensors-18-04005-g001.jpg

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