State Key Laboratory of Metastable Materials Science & Technology and Key Laboratory for Microstructural Material Physics of Hebei Province, School of Science, Yanshan University, Qinhuangdao 066004, China
Abstract A high sensitivity plasmonic temperature sensor based on a side-polished photonic crystal fiber is proposed in this work. In order to achieve high sensitivity and high stability, the gold layer is coated on the side-polished photonic crystal fiber to support surface plasmon resonance. The mixture of ethanol and chloroform is used as the thermosensitive liquid. The performances of the proposed temperature sensor were investigated by the finite element method (FEM). Simulation results indicate that the sensitivity of the temperature sensor is as high as 7.82 nm/℃. It has good linearity (R2=0.99803), the resolution of 1.1×10-3℃, and the amplitude sensitivity of 0.1008℃-1. In addition, the sizes of the small air hole and polishing depth have little influence on the sensitivity. Therefore, the proposed sensor shows a high structure tolerance. The excellent performance and high structure tolerance of the sensor make it an appropriate choice for temperature measurement.
(Exchange, correlation, dielectric and magnetic response functions, plasmons)
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 12074331), the Natural Science Foundation of Hebei Province, China (Grant No. F2020203050), and the Postdoctoral preferred funding research project of Hebei Province, China (Grant No. B2018003008).
Zhigang Gao(高治刚), Xili Jing(井西利), Yundong Liu(刘云东), Hailiang Chen(陈海良), and Shuguang Li(李曙光) High sensitivity plasmonic temperature sensor based on a side-polished photonic crystal fiber 2022 Chin. Phys. B 31 024207
[1] Chang M, Li B X, Chen N, Lu X L, Zhang X D and Xu J 2019 IEEE Photon. J.11 7202312 [2] Lou S Q, Zhang W and Wang X 2018 Plasmonics13 365 [3] Zhang Y X, Yuan J X, Qu Y W, Zhou X, Yan B B, Wu Q, Wang K R, Sang X Z, Long K P and Yu C X 2020 Chin. Phys. B29 034208 [4] Xie Q L, Chen Y Z, Li X J, Yin Z, Wang L L, Geng Y F and Hong X M 2017 Appl. Opt.56 001550 [5] Jiao H C, Feng L S, Wang J J, Wang K and Yang Z H 2017 Opt. Lett.42 003016 [6] Ayyanar N, Vasantha Jayakantha Raja R, Vigneswaran D, Lakshmi B, Sumathi M and Porsezian K 2017 Opt. Mater.64 574 [7] Yang X C, Lu Y, Liu B L and Yao J Q 2016 IEEE Photon. J.8 6803309 [8] Gangwar R K and Singh V K 2016 Plasmonics12 1367 [9] Li X G, Nguyen L V, Zhao Y, Ebendorff-Heidepriem H and WarrenSmith S C 2018 Sens Actuators B Chem.269 103 [10] Fan Z K, Fang S B, Li S G and Wei Z Y 2019 Chin. Phys. B28 094209 [11] Chaudharya V S, Kumara D, Mishraa R and Sharma S 2020 Optik210 164497 [12] Homola J, Yee S S and Gauglitz G 1999 Sens Actuators B Chem.54 3 [13] Chu S, Kaliyaperumal N, Abobaker A M, Aphale S S, Babu P R and Senthilanathan K 2019 IEEE J. Sel. Top. Quantum Electron.25 1 [14] Tong K, Wang F C, Wang M T, Dang P and Wang Y X 2018 Opt. Fiber Technol.46 306 [15] Dash J N and Jha R 2014 IEEE Photonics Technol. Lett.26 1092 [16] Liu Y D, Jing X L, Li S G, Guo Y, Wang S, Wang J, Zhang W X, Wang M Y and Yu P T 2019 Appl. Opt.58 5115 [17] Peng Y, Hou J, Huang Z H and Lu Q S 2012 Appl. Opt.51 6361 [18] Lu Y, Wang M T, Hao C J, Zhao Z Q and Yao J Q 2014 IEEE Photon. J.6 6801307 [19] Liu C, Wang F M, Lv J W, Sun T, Liu Q, Fu C F, Mu H W and Chu P K 2016 Opt. Commun.359 378 [20] Weng S J, Pei L, Wang J S, Ning T G and Li J 2017 Photonics Res.5 103 [21] Ghosh G, Endo M, Member, IEEE and Iwasalu T 1994 J Lightwave Technol.12 1338 [22] Wang M T, Lu Y, Hao C J, Yang X C and Yao J Q 2015 Optik126 3687 [23] Xu Y H, Chen X F and Zhu Y 2008 Sensors8 1872 [24] Dash J N and Jha R 2015 Plasmonics10 1123 [25] Wang X Y, Zhao Y Y, Li S G, Chen H L, Liu Q and Wang G Y 2016 Plasmonics11 1 [26] Hasan M R, Akter S, Rahman M S and Ahmed K 2017 Opt. Eng.56 1 [27] Mahfuz M A, Mollah M A, Momot M R, Paul A K, Masud A, Akter S and Hasan M R 2019 Opt. Mater.90 315 [28] Aruna Gandhi M S, Senthilnathan K, Ramesh Babu P and Li Q 2019 Results Phys.15 102590 [29] Chen Y Z, Xie Q L, Li X J, Zhou H S, Hong X M and Geng Y F 2017 J. Phys. D:Appl. Phys.50 025101 [30] Mollah M A, Riazul Islam S M, Yousufali M, Abdulrazak L F, Hossain M B and Amiri I S 2020 Results Phys.16 102966
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