{"title":"高灵敏度温度传感器基于可调化学计量替代等离子体材料,使用多种热响应分析物","authors":"Md. Shakibur Rahman , Rizwanur Rahad , Dil Mahfuzur Rahman , Md. Jahidul Hoq Emon , Rummanur Rahad","doi":"10.1016/j.measurement.2025.119127","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a CMOS-compatible plasmonic sensor designed for temperature detection across multiple thermo-responsive analytes with ultra-high sensitivity. Addressing the limitations of traditional plasmonic materials, we explore yttrium-doped titanium nitride (TiN) as an alternative, offering enhanced stability, thermal durability, and compatibility with CMOS fabrication processes. The sensor, featuring a double-ring connected resonator, achieves a refractive index sensitivity of 3863.54 nm/RIU and a temperature sensitivity of 2.44735 nm/°C in a chloroform-based medium. By optimizing yttrium doping levels, we balance plasmonic tunability with material stability, as evidenced by dielectric permittivity and SPPs parameters and found that the ratio of Ti and Y having 91%:9% exhibits higher sensitivity than the others (63%:37%, 79%:21%, 85%:15%). Comparative analysis across dielectric environments highlights the sensor’s adaptability and high sensitivity in different thermo-responsive dielectric media. Thus, this work advances plasmonic sensor technology for precise temperature sensing applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119127"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Highly sensitive temperature sensor based on tunable stoichiometric alternative plasmonic material using multiple thermo-responsive analytes\",\"authors\":\"Md. Shakibur Rahman , Rizwanur Rahad , Dil Mahfuzur Rahman , Md. Jahidul Hoq Emon , Rummanur Rahad\",\"doi\":\"10.1016/j.measurement.2025.119127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents a CMOS-compatible plasmonic sensor designed for temperature detection across multiple thermo-responsive analytes with ultra-high sensitivity. Addressing the limitations of traditional plasmonic materials, we explore yttrium-doped titanium nitride (TiN) as an alternative, offering enhanced stability, thermal durability, and compatibility with CMOS fabrication processes. The sensor, featuring a double-ring connected resonator, achieves a refractive index sensitivity of 3863.54 nm/RIU and a temperature sensitivity of 2.44735 nm/°C in a chloroform-based medium. By optimizing yttrium doping levels, we balance plasmonic tunability with material stability, as evidenced by dielectric permittivity and SPPs parameters and found that the ratio of Ti and Y having 91%:9% exhibits higher sensitivity than the others (63%:37%, 79%:21%, 85%:15%). Comparative analysis across dielectric environments highlights the sensor’s adaptability and high sensitivity in different thermo-responsive dielectric media. Thus, this work advances plasmonic sensor technology for precise temperature sensing applications.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"258 \",\"pages\":\"Article 119127\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125024868\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125024868","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Highly sensitive temperature sensor based on tunable stoichiometric alternative plasmonic material using multiple thermo-responsive analytes
This study presents a CMOS-compatible plasmonic sensor designed for temperature detection across multiple thermo-responsive analytes with ultra-high sensitivity. Addressing the limitations of traditional plasmonic materials, we explore yttrium-doped titanium nitride (TiN) as an alternative, offering enhanced stability, thermal durability, and compatibility with CMOS fabrication processes. The sensor, featuring a double-ring connected resonator, achieves a refractive index sensitivity of 3863.54 nm/RIU and a temperature sensitivity of 2.44735 nm/°C in a chloroform-based medium. By optimizing yttrium doping levels, we balance plasmonic tunability with material stability, as evidenced by dielectric permittivity and SPPs parameters and found that the ratio of Ti and Y having 91%:9% exhibits higher sensitivity than the others (63%:37%, 79%:21%, 85%:15%). Comparative analysis across dielectric environments highlights the sensor’s adaptability and high sensitivity in different thermo-responsive dielectric media. Thus, this work advances plasmonic sensor technology for precise temperature sensing applications.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.