{"title":"基于双层超表面的微流控生物传感器","authors":"Kongqin Lu;Jieshuang Qi;Manna Gu;Jiaze Zhu;Chenxia Li;Bo Fang;Zhi Hong;Ying Tian;Xufeng Jing","doi":"10.1109/JSEN.2024.3496747","DOIUrl":null,"url":null,"abstract":"Metasurface plays an important role in optical applications, and biomolecular sensing based on metasurface has a wide application prospect in the medical field, and the combination of metasurface biosensors and microfluidic has also attracted wide attention. Some existing studies on microfluidic metasurface biosensors focus on single-layer metasurface biosensing detection; in this study, we propose a dual-layer microfluidic channel-based terahertz (THz) biosensor based on metal metasurfaces, which combines microfluidic technology to place analytes in microfluidic channels between resonant structures to achieve real-time sensing detection of analytes. The simulation results show that the analytes vary from 1.0 to 2.0 refractive index, and the sensitivity of the biosensor’s resonance point can reach 248.29 GHz/RIU. This dual-layer microfluidic THz biosensor provides a new method to improve sensor sensitivity, which has potential application value in the biomedical field.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 1","pages":"419-425"},"PeriodicalIF":4.3000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microfluidic Biosensors Based on Dual-Layer Metasurfaces\",\"authors\":\"Kongqin Lu;Jieshuang Qi;Manna Gu;Jiaze Zhu;Chenxia Li;Bo Fang;Zhi Hong;Ying Tian;Xufeng Jing\",\"doi\":\"10.1109/JSEN.2024.3496747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metasurface plays an important role in optical applications, and biomolecular sensing based on metasurface has a wide application prospect in the medical field, and the combination of metasurface biosensors and microfluidic has also attracted wide attention. Some existing studies on microfluidic metasurface biosensors focus on single-layer metasurface biosensing detection; in this study, we propose a dual-layer microfluidic channel-based terahertz (THz) biosensor based on metal metasurfaces, which combines microfluidic technology to place analytes in microfluidic channels between resonant structures to achieve real-time sensing detection of analytes. The simulation results show that the analytes vary from 1.0 to 2.0 refractive index, and the sensitivity of the biosensor’s resonance point can reach 248.29 GHz/RIU. This dual-layer microfluidic THz biosensor provides a new method to improve sensor sensitivity, which has potential application value in the biomedical field.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 1\",\"pages\":\"419-425\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10756544/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10756544/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Microfluidic Biosensors Based on Dual-Layer Metasurfaces
Metasurface plays an important role in optical applications, and biomolecular sensing based on metasurface has a wide application prospect in the medical field, and the combination of metasurface biosensors and microfluidic has also attracted wide attention. Some existing studies on microfluidic metasurface biosensors focus on single-layer metasurface biosensing detection; in this study, we propose a dual-layer microfluidic channel-based terahertz (THz) biosensor based on metal metasurfaces, which combines microfluidic technology to place analytes in microfluidic channels between resonant structures to achieve real-time sensing detection of analytes. The simulation results show that the analytes vary from 1.0 to 2.0 refractive index, and the sensitivity of the biosensor’s resonance point can reach 248.29 GHz/RIU. This dual-layer microfluidic THz biosensor provides a new method to improve sensor sensitivity, which has potential application value in the biomedical field.
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