Adarsh Chandra Mishra, Anuj K. Sharma, Pooja Lohia, D. K. Dwivedi
{"title":"利用基于 Ag-BaTiO3 异质结构的高性能等离子传感器检测大肠杆菌","authors":"Adarsh Chandra Mishra, Anuj K. Sharma, Pooja Lohia, D. K. Dwivedi","doi":"10.1002/adts.202400931","DOIUrl":null,"url":null,"abstract":"A systematic investigation of the performance of CaF<sub>2</sub>-Ag-BaTiO<sub>3</sub> heterostructure based SPR sensor has been performed. The article focuses on the point that a suitable dielectric layer and precise optimization process can lead to high performance. E-coli bacterial is considered as analyte medium. The sensor design is optimized by simultaneous varying the thickness of Ag (d<sub>M</sub>) and BaTiO<sub>3</sub> (d<sub>A</sub>) at wavelength (λ) = 1000 nm which provided an optimized figure of merit (FOM) of 4510 RIU<sup>−1</sup> at d<sub>M</sub> = 48.1 and d<sub>A</sub> = 3.2 nm. Further, FOM is again enhanced by simultaneous optimization of wavelength and thickness of BaTiO<sub>3</sub> which provided an FOM of 9108 RIU<sup>−1</sup> at λ = 992 and d<sub>A</sub> = 3.3 nm at fixed d<sub>M</sub> = 48.1 nm. This is designated as final optimum radiation damping (ORD) condition for the proposed sensor design. The power loss curve and normalized electric field are plotted at ORD condition leads to the FWHM of 0.0200° and sensitivity of 182.17 deg. RIU<sup>−1</sup> with power loss ratio of 2.59 and field enhancement factor of 1.06. The combined performance factor (CPF) at optimized parameters is 24276.79 µm<sup>4</sup>/RIU which enables the realization of sensor more practically.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"14 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of E-coli Bacteria Utilizing High Performance Ag-BaTiO3 Heterostructure Based Plasmonic Sensor\",\"authors\":\"Adarsh Chandra Mishra, Anuj K. Sharma, Pooja Lohia, D. K. Dwivedi\",\"doi\":\"10.1002/adts.202400931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A systematic investigation of the performance of CaF<sub>2</sub>-Ag-BaTiO<sub>3</sub> heterostructure based SPR sensor has been performed. The article focuses on the point that a suitable dielectric layer and precise optimization process can lead to high performance. E-coli bacterial is considered as analyte medium. The sensor design is optimized by simultaneous varying the thickness of Ag (d<sub>M</sub>) and BaTiO<sub>3</sub> (d<sub>A</sub>) at wavelength (λ) = 1000 nm which provided an optimized figure of merit (FOM) of 4510 RIU<sup>−1</sup> at d<sub>M</sub> = 48.1 and d<sub>A</sub> = 3.2 nm. Further, FOM is again enhanced by simultaneous optimization of wavelength and thickness of BaTiO<sub>3</sub> which provided an FOM of 9108 RIU<sup>−1</sup> at λ = 992 and d<sub>A</sub> = 3.3 nm at fixed d<sub>M</sub> = 48.1 nm. This is designated as final optimum radiation damping (ORD) condition for the proposed sensor design. The power loss curve and normalized electric field are plotted at ORD condition leads to the FWHM of 0.0200° and sensitivity of 182.17 deg. RIU<sup>−1</sup> with power loss ratio of 2.59 and field enhancement factor of 1.06. The combined performance factor (CPF) at optimized parameters is 24276.79 µm<sup>4</sup>/RIU which enables the realization of sensor more practically.\",\"PeriodicalId\":7219,\"journal\":{\"name\":\"Advanced Theory and Simulations\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Theory and Simulations\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/adts.202400931\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202400931","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Detection of E-coli Bacteria Utilizing High Performance Ag-BaTiO3 Heterostructure Based Plasmonic Sensor
A systematic investigation of the performance of CaF2-Ag-BaTiO3 heterostructure based SPR sensor has been performed. The article focuses on the point that a suitable dielectric layer and precise optimization process can lead to high performance. E-coli bacterial is considered as analyte medium. The sensor design is optimized by simultaneous varying the thickness of Ag (dM) and BaTiO3 (dA) at wavelength (λ) = 1000 nm which provided an optimized figure of merit (FOM) of 4510 RIU−1 at dM = 48.1 and dA = 3.2 nm. Further, FOM is again enhanced by simultaneous optimization of wavelength and thickness of BaTiO3 which provided an FOM of 9108 RIU−1 at λ = 992 and dA = 3.3 nm at fixed dM = 48.1 nm. This is designated as final optimum radiation damping (ORD) condition for the proposed sensor design. The power loss curve and normalized electric field are plotted at ORD condition leads to the FWHM of 0.0200° and sensitivity of 182.17 deg. RIU−1 with power loss ratio of 2.59 and field enhancement factor of 1.06. The combined performance factor (CPF) at optimized parameters is 24276.79 µm4/RIU which enables the realization of sensor more practically.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics