Sensitivity and Figure-of-Merit Analysis of Terahertz Metamaterial Sensors With the Normalized Mode Volume

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Lei Cao;Fanqi Meng;Hartmut G. Roskos
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引用次数: 0

Abstract

The sensitivity and figure of merit (FOM) of optical sensors based on metamaterial (MM) cavities are intricately influenced by both inherent cavity properties (resonance frequency, Q-factor, and mode volume) and the characteristics of the analyte, including its volume and spatial distribution. Notably, a direct correlation between a physical parameter and sensor performance, as well as a quantitative comparison across diverse optical sensors, is currently lacking. This study proposes a novel approach to evaluating the sensitivity and FOM by introducing a normalized (dimensionless) mode volume, denoted as $V_{N}$ . This normalization enables a direct and comprehensive comparison among various sensor structures, with MM sensors employing split resonators featuring interdigitated fingers in the terahertz (THz) frequency range serving as a prime example. The normalized sensitivity and FOM demonstrate a proportional relationship to 1/ $V_{N}$ and $Q/V_{N}$ , respectively. Through systematic analyses involving the variation of geometric parameters, the full-wave simulation results consistently validate the proposed analytical formula. These overarching findings not only lay a robust foundation for the design and optimization of optical sensors utilizing MMs but also provide a framework for a comprehensive performance comparison among different sensor types. This was experimentally verified with a proposed nested U-shaped sensor in comparison with the traditional sensor based on asymmetrical double split ring resonators. This advancement holds significant promise for applications in nanoscale thin-film detection and biosensing.
归一化模式体积太赫兹超材料传感器的灵敏度和性能图分析
基于超材料(MM)腔的光学传感器的灵敏度和优值图(FOM)受到固有腔特性(共振频率、q因子和模体积)和分析物特性(包括其体积和空间分布)的复杂影响。值得注意的是,目前缺乏物理参数与传感器性能之间的直接关联,以及不同光学传感器之间的定量比较。本研究提出了一种通过引入归一化(无因次)模态体积(记为$V_{N}$)来评估灵敏度和FOM的新方法。这种归一化可以在各种传感器结构之间进行直接和全面的比较,MM传感器采用太赫兹(THz)频率范围内具有交叉指的分裂谐振器作为主要示例。归一化灵敏度和FOM分别与1/ $V_{N}$和$Q/V_{N}$成正比关系。通过涉及几何参数变化的系统分析,全波仿真结果一致地验证了所提出的解析公式。这些总体研究结果不仅为利用mm的光学传感器的设计和优化奠定了坚实的基础,而且为不同类型传感器之间的综合性能比较提供了一个框架。用巢式u型传感器与传统的非对称双裂环谐振器传感器进行了实验验证。这一进展对纳米薄膜检测和生物传感的应用具有重要的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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