Abstract
In this paper, we investigate sensitivity enhancement of a graphene based nearly guided-wave surface plasmon resonance (NGWSPR) biosensor in the visible region. The proposed biosensor is optimized using genetic algorithms to obtain the highest sensitivity for a specific wavelength of incident light. The optimized sensitivity of the NGWSPR sensor is compared with a traditional surface plasmon resonance (SPR) biosensor at the wavelength of incident light varied from 400 to 800 nm. The percentage of sensitivity increment of a NGWSPR sensor relative to a traditional SPR sensor is also calculated. As high as 393.3, 542.5, 388.9 or 132.1% sensitivity increment percentage has been demonstrated for an Au, Ag, Cu or Al based NGWSPR sensor. Furthermore, the maximum sensitivity of a NGWSPR biosensor at different wavelength is also investigated and compared. For a NGWSPR sensor based on Au, Ag, Cu or Al, the maximum sensitivity is 225.12, 302.26, 222.04, or 163.78 °/RIU showing at 720, 480, 680 or 400 nm respectively.
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References
Aksimsek, S., Jussila, H., Sun, Z.: Graphene-MoS2-metal hybrid structures for plasmonic biosensors. Opt. Commun. 428, 233–239 (2018). https://doi.org/10.1016/j.optcom.2018.07.075
Bahrami, F., Maisonneuve, M., Meunier, M., Aitchison, J.S., Mojahedi, M.: An improved refractive index sensor based on genetic optimization of plasmon waveguide resonance. Opt. Express. 21, 20863–20872 (2013a). https://doi.org/10.1364/oe.21.020863
Bahrami, F., Alam, M.Z., Aitchison, J.S., Mojahedi, M.: Dual polarization measurements in the hybrid plasmonic biosensors. Plasmonics. 8, 465–473 (2013b). https://doi.org/10.1007/s11468-012-9411-z
Chen, S., Lin, C.: Sensitivity comparison of graphene based surface plasmon resonance biosensor with Au, Ag and Cu in the visible region. Mater. Res. Express. 6, 056503 (2019a). https://doi.org/10.1088/2053-1591/ab009d
Chen, S., Lin, C.: Figure of merit analysis of graphene based surface plasmon resonance biosensor for visible and near infrared. Opt. Commun. 435, 102–107 (2019b). https://doi.org/10.1016/j.optcom.2018.11.031
Chen, C., Wang, J.: Optical biosensors: an exhaustive and comprehensive review. Analyst. 145, 1605–1628 (2020). https://doi.org/10.1039/c9an01998g
Choi, S.H., Kim, Y.L., Byun, K.M.: Graphene-on-silver substrates for sensitive surface plasmon resonance imaging biosensors. Opt. Express. 19, 458–466 (2011). https://doi.org/10.1364/oe.19.000458
Homola, J., Yee, S.S., Gauglitz, G.: Surface plasmon resonance sensors: review. Sens. Actuat B: Chem. 54, 3–15 (1999). https://doi.org/10.1016/s0925-4005(98)00321-9
Kedenburg, S., Vieweg, M., Gissibl, T., Giessen, H.: Linear refractive index and absorption measurements of nonlinear optical liquids in the visible and near-infrared spectral region. Opt. Mater. Express. 2, 1588–1611 (2012). https://doi.org/10.1364/ome.2.001588
Kretschmann, E., Raether, H.: Radiative decay of non radiative surface plasmons excited by light. Z. Naturforsch A 23, 2135–2136 (1968). https://doi.org/10.1515/zna-1968-1247
Kumar, Y., Mishra, R., Panwar, E., Kaur, J., Panwar, R.: Design optimization and critical analysis of graphene based surface plasmon resonance sensor for DNA hybridization. Opt. Quantum Electron. 51, 343 (2019). https://doi.org/10.1007/s11082-019-2057-8
Lahav, A., Auslender, M., Abdulhalim, I.: Sensitivity enhancement of guided-wave surface-plasmon resonance sensors. Opt. Lett. 33, 2539–2541 (2008). https://doi.org/10.1364/ol.33.002539
Lee, H.-S., Seong, T.-Y., Kim, W.M., Kim, I., Hwang, G.-W., Lee, W.S., Lee, K.-S.: Enhanced resolution of a surface plasmon resonance sensor detecting C-reactive protein via a bimetallic waveguide-coupled mode approach. Sens. Actuat B: Chem. 266, 311–317 (2018). https://doi.org/10.1016/j.snb.2018.03.136
Lin, Z., Chen, S., Lin, C.: Sensitivity improvement of a surface plasmon resonance sensor based on two-dimensional materials hybrid structure in visible region: A theoretical study. Sensors. 20, 2445 (2020). https://doi.org/10.3390/s20092445
Maharana, P.K., Jha, R.: Chalcogenide prism and graphene multilayer based surface plasmon resonance affinity biosensor for high performance. Sens. Actuat B: Chem. 169, 161–166 (2012). https://doi.org/10.1016/j.snb.2012.04.051
Maharana, P.K., Jha, R., Palei, S.: Sensitivity enhancement by air mediated graphene multilayer based surface plasmon resonance biosensor for near infrared. Sens. Actuat B: Chem. 190, 494–501 (2014a). https://doi.org/10.1016/j.snb.2013.08.089
Maharana, P.K., Srivastava, T., Jha, R.: On the performance of highly sensitive and accurate graphene-on-aluminum and silicon-based SPR biosensor for visible and near infrared. Plasmonics. 9, 1113–1120 (2014b). https://doi.org/10.1007/s11468-014-9721-4
Maharana, P.K., Jha, R., Padhy, P.: On the electric field enhancement and performance of SPR gas sensor based on graphene for visible and near infrared. Sens. Actuat B: Chem. 207, 117–122 (2015). https://doi.org/10.1016/j.snb.2014.10.006
Maurya, J., Prajapati, Y., Singh, V., Saini, J.: Sensitivity enhancement of surface plasmon resonance sensor based on graphene–MoS2 hybrid structure with TiO2–SiO2 composite layer. Appl. Phys. A. 121, 525–533 (2015). https://doi.org/10.1007/s00339-015-9442-3
Maurya, J.B., Prajapati, Y.K.: A comparative study of different metal and prism in the surface plasmon resonance biosensor having MoS2-graphene. Opt. Quantum Electron. 48, 280 (2016). https://doi.org/10.1007/s11082-016-0562-6
Maurya, J.B., Prajapati, Y.K., Singh, V., Saini, J.P., Tripathi, R.: Improved performance of the surface plasmon resonance biosensor based on graphene or MoS2 using silicon. Opt. Commun. 359, 426–434 (2016). https://doi.org/10.1016/j.optcom.2015.10.010
McPeak, K.M., Jayanti, S.V., Kress, S.J.P., Meyer, S., Iotti, S., Rossinelli, A., Norris, D.J.: Plasmonic films can easily be better: rules and recipes. ACS Photonics. 2, 326–333 (2015). https://doi.org/10.1021/ph5004237
Meshginqalam, B., Barvestani, J.: Performance enhancement of SPR biosensor based on phosphorene and transition metal dichalcogenides for sensing DNA hybridization. IEEE Sens. J. 18, 7537–7543 (2018a). https://doi.org/10.1109/jsen.2018.2861829
Meshginqalam, B., Barvestani, J.: Aluminum and phosphorene based ultrasensitive SPR biosensor. Opt. Mater. 86, 119–125 (2018b).https://doi.org/10.1016/j.optmat.2018b.10.003
Pal, S., Verma, A., Raikwar, S., Prajapati, Y.K., Saini, J.P.: Detection of DNA hybridization using graphene-coated black phosphorus surface plasmon resonance sensor. Appl. Phys. A. 124, 394 (2018). https://doi.org/10.1007/s00339-018-1804-1
Patil, P.O., Pandey, G.R., Patil, A.G., Borse, V.B., Deshmukh, P.K., Patil, D.R., Tade, R.S., Nangare, S.N., Khan, Z.G., Patil, A.M., More, M.P., Veerapandian, M., Bari, S.B.: Graphene-based nanocomposites for sensitivity enhancement of surface plasmon resonance sensor for biological and chemical sensing: a review. Biosens. Bioelectron. 139, 111324 (2019). https://doi.org/10.1016/j.bios.2019.111324
Shalabney, A., Abdulhalim, I.: Electromagnetic fields distribution in multilayer thin film structures and the origin of sensitivity enhancement in surface plasmon resonance sensors. Sens. Actuat A: Phys. 159, 24–32 (2010). https://doi.org/10.1016/j.sna.2010.02.005
Shalabney, A., Abdulhalim, I.: Sensitivity-enhancement methods for surface plasmon sensors. Laser Photonics Rev. 5, 571–606 (2011). https://doi.org/10.1002/lpor.201000009
Shukla, S., Sharma, N.K., Sajal, V.: Sensitivity enhancement of a surface plasmon resonance based fiber optic sensor using ZnO thin film: a theoretical study. Sens. Actuat B: Chem. 206, 463–470 (2015). https://doi.org/10.1016/j.snb.2014.09.083
Siefke, T., Kroker, S., Pfeiffer, K., Puffky, O., Dietrich, K., Franta, D., Ohlidal, I., Szeghalmi, A., Kley, E.-B.: A. Tuennermann, Materials pushing the application limits of wire grid polarizers further into the deep ultraviolet spectral range. Adv. Opt. Mater. 4, 1780–1786 (2016). https://doi.org/10.1002/adom.201600250
Sun, Y., Cai, H., Wang, X., Zhan, S.: Optimization methodology for structural multiparameter surface plasmon resonance sensors in different modulation modes based on particle swarm optimization. Opt. Commun. 431, 142–150 (2019). https://doi.org/10.1016/j.optcom.2018.09.027
Verma, R., Gupta, B.D., Jha, R.: Sensitivity enhancement of a surface plasmon resonance based biomolecules sensor using graphene and silicon layers. Sens. Actuat B: Chem. 160, 623–631 (2011). https://doi.org/10.1016/j.snb.2011.08.039
Weber, J.W., Calado, V.E., van de Sanden, M.C.M.: Optical constants of graphene measured by spectroscopic ellipsometry. Appl. Phys. Lett. 97, 091904 (2010). https://doi.org/10.1063/1.3475393
Wu, L., Chu, H., Koh, W., Li, E.: Highly sensitive graphene biosensors based on surface plasmon resonance. Opt. Express. 18, 14395–14400 (2010). https://doi.org/10.1364/OE.18.014395
Xia, G., Zhou, C., Jin, S., Huang, C., Xing, J., Liu, Z.: Sensitivity enhancement of two-dimensional materials based on genetic optimization in surface plasmon resonance. Sensors. 19, 1198 (2019). https://doi.org/10.3390/s19051198
Xu, Y., Zhang, Z., Yi, R., Guo, X., Qi, Z.: Single-layer graphene-based surface plasmon resonance sensor with dynamic evanescent field enhancement for biomarker study. J. Mod. Optic. 67, 671–681 (2020). https://doi.org/10.1080/09500340.2020.1759715
Yue, C., Qin, Z., Lang, Y., Liu, Q.: Determination of thin metal film’s thickness and optical constants based on SPR phase detection by simulated annealing particle swarm optimization. Opt. Commun. 430, 238–245 (2019). https://doi.org/10.1016/j.optcom.2018.08.051
Zhang, P., Liu, L., He, Y., Chen, X., Ma, K., Wei, D., Wang, H., Shao, Q.: Composite layer based plasmon waveguide resonance for label-free biosensing with high figure of merit. Sens. Actuat B: Chem. 272, 69–78 (2018). https://doi.org/10.1016/j.snb.2018.05.123
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This study was supported by the National Natural Science Foundation of China (Grant Nos. 11547241 and 61805007) and the Fundamental Research Funds for the Central Universities, China (Grant No. 2652017340)
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Chen, S., Lin, Z., Bai, G. et al. Comparative study on sensitivity enhancement of a graphene based nearly guided-wave surface plasmon resonance biosensor optimized using genetic algorithm in the visible region. Opt Quant Electron 54, 199 (2022). https://doi.org/10.1007/s11082-022-03584-0
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DOI: https://doi.org/10.1007/s11082-022-03584-0