基于改进高灵敏度基板集成波导(SIW)的差分微波传感器用于检测水溶液中葡萄糖浓度

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Hao Xie;Wen-Jing Wu;Wen-Sheng Zhao;Wensong Wang
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引用次数: 0

摘要

本文提出了一种基于改进的高灵敏度衬底集成波导(SIW)的差分微波传感器系统,用于检测水溶液中的葡萄糖浓度。所提出的微波传感器系统由射频信号发生器、宽带3db定向耦合器、两个改型siw和增益/相位检测器组成,其中宽带3db定向耦合器为二阶3db定向耦合器,其相对带宽比单阶3db定向耦合器高53.42%。在SIW的上表面雕刻了两个互补的裂环谐振器(csrs),并将弯曲槽嵌入到csrs中以限制更多的电场。此外,在两个弯曲槽之间的区域增加蚀刻的十字形凹槽,以集中电场密度。在所提出的微波传感器中,耦合器的直通端口和耦合端口分别连接到SIW。同时,一个作为参考,一个作为测试,都是SIWs。siw的两个输出端口连接到增益/相位检测器的两个输入端口。在系统中,射频发生器的信号输出端口连接到耦合器的输入端口。当射频发生器输出振荡信号时,检测器可以分别将这两个输入信号的幅差和相位差转换成各自的输出直流电压。输出的直流电压可以用来检测葡萄糖浓度,因为葡萄糖浓度的变化会反映在各种直流电压上。在测量中,该微波传感器对两种输出直流电压的平均灵敏度分别为0.698和1.014 mV/(mg/dL)。此外,在该传感器系统中加入直流电压放大器,两个通道的平均灵敏度分别为3.04和4.21 mV/(mg/dL)。本文提出的微波传感器采用差分检测,以减少外部环境因素的影响,并增加有源射频增益/相位检测器,可以放弃矢量网络分析仪(VNA)的使用,降低成本。由于这些优点,所提出的微波传感器是表征液体样品领域的优秀候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Differential Microwave Sensor Based on Modified High-Sensitivity Substrate-Integrated Waveguide (SIW) for Detecting Glucose Concentration in Aqueous Solution
A differential microwave sensor system based on a modified high-sensitivity substrate-integrated waveguide (SIW) for detecting glucose concentration in an aqueous solution is proposed in this article. An RF signal generator, a broadband 3-dB directional coupler, two modified SIWs, and a gain/phase detector constitute the proposed microwave sensor system, wherein, the broadband 3-dB directional coupler is a second-order 3-dB directional coupler, whose relative bandwidth is 53.42% higher than the single-order 3-dB directional coupler. Two complementary split-ring resonators (CSRRs) are carved onto the upper surface of SIW, and the meander slots are embedded into CSRRs to confine more electrical field. Besides, the etched cross-shaped grooves are added to the area between the two meander slots to concentrate electrical field density. In the proposed microwave sensor, the through and coupled ports of the coupler are each connected to an SIW. Meanwhile, one is regarded as a reference, and the other for testing, both being SIWs. The two output ports of the SIWs are connected to the two input ports of the gain/phase detector. In the system, the signal output port of the RF generator is connected to the input port of the coupler. When the RF generator outputs an oscillation signal, the detector can separately convert the differences in amplitude and phase of these two input signals into a respective output dc voltage. The output dc voltages can be used to detect glucose concentration, as changes in glucose concentration would be reflected in various of the dc voltages. In measurement, the proposed microwave sensor has average sensitivities of about 0.698 and 1.014 mV/(mg/dL) for the two output dc voltages. Furthermore, the dc voltage amplifiers are added to the proposed sensor system, and the average sensitivities become 3.04 and 4.21 mV/(mg/dL) for the two channels. The proposed microwave sensor incorporates differential detection to diminish the impact of external environment factors, and the added active RF gain/phase detector can abandon the utilization of a vector network analyzer (VNA) and lower the cost. With these advantages, the proposed microwave sensor is an excellent candidate in the region of characterizing liquid samples.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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