ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Numerical simulation of a truncated cladding negative curvature fiber sensor based on the surface plasmon resonance effect |
Zhichao Zhang(张志超)1, Jinhui Yuan(苑金辉)1,2,†, Shi Qiu(邱石)1, Guiyao Zhou(周桂耀)3, Xian Zhou(周娴)2, Binbin Yan(颜玢玢)1, Qiang Wu(吴强)4,5,‡, Kuiru Wang(王葵如)1, and Xinzhu Sang(桑新柱)1 |
1 State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2 Research Center for Convergence Networks and Ubiquitous Services, University of Science&Technology Beijing, Beijing 100083, China; 3 Guangzhou Key Laboratory for Special Fiber Photonic Devices, South China Normal University, Guangzhou 510006, China; 4 Department of Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom; 5 Key Laboratory of Nondestructive Test(Ministry of Education), Nanchang Hong Kong University, Nanchang 330063, China |
|
|
Abstract A refractive index (RI) sensor based on the surface plasmon resonance effect is proposed using a truncated cladding negative curvature fiber (TC-NCF). The influences of the TC-NCF structure parameters on the sensing performances are investigated and compared with the traditional NCF. The simulation results show that the proposed TC-NCF RI sensor has an ultra-wide detection range from 1.16 to 1.43. The maximum wavelength sensitivity reaches 12400 nm/RIU, and the corresponding R2 of the polynomial fitting equation is 0.9999. The maximum and minimum resolutions are 2.56×10-5 and 8.06×10-6, respectively. In addition, the maximum amplitude sensitivity can reach -379.1 RIU-1 when the RI is chosen as 1.43. The proposed TC-NCF RI sensor could be useful in biochemical medicine, environmental monitoring, and food safety.
|
Received: 23 February 2022
Revised: 15 May 2022
Accepted manuscript online: 14 June 2022
|
PACS:
|
42.81.Pa
|
(Sensors, gyros)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61935007). |
Corresponding Authors:
Jinhui Yuan, Qiang Wu
E-mail: yuanjinhui81@bupt.edu.cn;qiang.wu@northumbria.ac.uk
|
Cite this article:
Zhichao Zhang(张志超), Jinhui Yuan(苑金辉), Shi Qiu(邱石), Guiyao Zhou(周桂耀), Xian Zhou(周娴), Binbin Yan(颜玢玢), Qiang Wu(吴强), Kuiru Wang(王葵如), and Xinzhu Sang(桑新柱) Numerical simulation of a truncated cladding negative curvature fiber sensor based on the surface plasmon resonance effect 2023 Chin. Phys. B 32 034208
|
[1] Vincetti L and Setti V 2014 Opt. Express 18 23133 [2] Pryamikov A D, Biriukov A S and Kosolapov A F 2011 Opt. Express 19 1441 [3] Debord B, Alharbi M, Bradley T, Fourcade-Dutin C, Wang Y Y, Vincetti L, Gérôme F and Benabid B 2013 Opt. Express 21 28597 [4] Yu F, Wadsworth W J and Knight J C 2012 Opt. Express 20 11153 [5] Kolyadin A N, Kosolapov A F, Pryamikov A D, Biriukov A S, Plotnichenko V G and Dianov E M 2013 Opt. Express 21 9514 [6] Wei C, Weiblen R J, Menyuk C R and Jonathan H 2017 Adv. Opt. Photon. 9 504 [7] Wei C, Young J T, Menyuk C R and Jonathan H 2019 OSA Continuum. 2 2123 [8] Silva A A, Barea L, Spadoti D H and Francisco A C D 2019 Opt. Eng. 58 072011 [9] Ankan I M, Mollah M A, Sultana J and Islam M S 2020 Appl. Optics 59 8519 [10] Homola J 2008 Chem. Rev. 108 462 [11] Xue J, Li S, Qin W, Xin X and Zhu X 2013 Opt. Express 21 13733 [12] Hassani A and Skorobogatiy M 2006 Opt. Express 14 11616 [13] Ding Z W, Lang T T, Wang Y and Zhao C L 2017 J. Lightwave. Technol. 35 4734 [14] Yu Y L, Laiw S K, Kishikawa H and Goto N 2020 Appl. Optics 59 5539 [15] Qiu S, Yuan J, Zhou X, Li F, Wang Q, Qu Y, Yan B, Wu Q, Wang K, Sang X, Long K and Yu C 2020 Sensors 20 6539 [16] Wei C, Menyuk C R and Hu J 2020 OSA Advanced Photonics Congress NoM4G. 7 [17] Liu Y, Chen H, Ma M, Zhang W, Wang Y and Li S 2018 J. Phys. D: Appl. Phys. 51 125101 [18] Ghosh G and Endo M 1994 J. Lightwave. Technol. 12 1338 [19] Liu C, Lv J, Liu W, Wang F and Chu P K 2021 Chin. Opt. Lett. 19 102202 [20] Santos D F, Guerreiro A and Baptista J M 2015 IEEE Sens. J. 15 5472 [21] Paul A K, Sarkar AnK, Rahman A B S and Khaleque A 2018 IEEE Sens. J. 18 5761 [22] Jiang L, Zheng Y, Hou L, Zheng K, Peng J and Zhao X 2015 Opt. Commun. 351 50 [23] Hassani A and Skorobogatiy M 2007 J. Opt. Soc. Am. B 24 1423 [24] Wang G, Lu Y, Duan L and Yao J 2020 IEEE J. Sel. Top. Quantum Electron. 27 5600108 [25] Zhen K F, Fang S B, Li S G and Wei Z Y 2019 Chin. Phys. B 28 094209 [26] Paul A K, Habib M S, Hai N H and Razzak S M A 2020 Opt. Commun. 464 125556 [27] Bing P, Sui J, Wu G, Guo X, Li Z, Tan L and Yao J 2020 Plasmonics. 15 1071 [28] Bing P B, Huang S C, Sui J L, Wang H and Wang Z Y 2018 Sensors 18 2051 [29] Knight J C, Birks T A, Russell P S J and Atkin D M 1996 Opt. Lett. 21 1547 [30] Knight J C 2003 Nature 424 847 [31] Falkenstein P, Merritt C D and Justus B L 2004 Opt. Lett. 29 1858 [32] Hong Y F, Gao S F, Ding W, Zhang X, Jia A Q, Sheng Y L, Wang P and Wang Y Y 2022 Laser Photonics. Rev. 16 2100365 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|