介电光谱混合多波段传感器在微流体中的应用

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Antonio Alati;Marco Lanuzza;Emilio Arnieri;Dominique Schreurs;Luigi Boccia
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引用次数: 0

摘要

本文介绍了一种用于微流体介质光谱分析的双端口微波传感器。该传感器集成了谐振元件在微带传输线,以方便多波段分析。它具有7.8 GHz和15.6 GHz的不同谐振频率,以及低频测量能力,展示了广泛频率范围内的多功能性。通过电磁模拟和实验验证,使用水-乙醇混合物作为测试流体,对传感器的性能进行了不同介电常数值的评估。关键指标,如相对误差,确定系数和灵敏度分析强调传感器的功效。此外,从测量数据中提取Debye参数,可以深入了解流体在宽频谱上的色散行为。这突出了传感器在生物医学诊断和材料表征中精确介电光谱的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Multiband Sensor for Dielectric Spectroscopy in Microfluidic Applications
This article introduces a two-port microwave sensor designed for dielectric spectroscopy in microfluidic applications. The sensor integrates resonant elements within a microstrip transmission line to facilitate multiband analysis. It features distinct resonance frequencies at 7.8 and 15.6 GHz along with capabilities for low-frequency measurements showcasing versatility across a broad frequency range. Through electromagnetic simulations and experimental validations, the sensor’s performance is evaluated across various permittivity values using water-ethanol mixtures as test fluids. Key metrics such as relative error, coefficient of determination, and sensitivity analysis underscore the sensor’s efficacy. Additionally, Debye parameters were extracted from the measured data, offering insight into the dispersive behavior of the fluids across a broad frequency spectrum. This highlights the sensor’s potential for precise dielectric spectroscopy in biomedical diagnostics and material characterization.
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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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