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Mechanistic Modeling for Performance Engineering of SPR-Based Fiber-Optic Sensor Employing Ta2O5 and Graphene Multilayers in Phase Interrogation Scheme

Abstract

This work elucidates the numerical simulations carried out for the performance analysis of surface plasmon resonance (SPR)–based fiber-optic sensors using thin layers of tantalum (v) oxide (Ta2O5) and graphene in phase interrogation scheme. For this purpose, fiber-optic sensing probes with three distinct configurations have been used which include consecutive as well as individual layers of Ta2O5 and graphene over silver-coated unclad core of a silica optical fiber. The performance of sensing probes is studied in terms of the phase difference arising between TM and TE polarized components of the incident light as they propagate through the sensing region, besides their SPR responses towards varying refractive index of analyte layer, making use of the transfer matrix theory for stratified isotropic optical media in conjunction with geometrical optics. Theoretical investigations reveal that the probe having multi-layered arrangement of Ta2O5 and graphene possesses maximum sensitivity of propagating phase difference with magnitude 4.852 × 105 Deg/RIU at analyte refractive index of 1.33 in comparison to probes with individual Ta2O5 (3.731 × 105 Deg/RIU) and graphene (0.362 × 105 Deg/RIU) layers. Moreover, the design parameters of the probes have been numerically maneuvered with an aim of achieving an analyte refractive index of 1.33 in transmitted light spectrum to display the feasibility of proposed sensor in biochemical fields. The reported results unfold an innovative perspective to widen the application horizon of fiber-optic SPR sensors in phase interrogation scheme.

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References

  1. 1.

    Homola J (2003) Present and future of surface plasmon resonance biosensors. Anal Bioanal Chem 377(3):528–539

    Article  CAS  PubMed  Google Scholar 

  2. 2.

    Hoa XD, Kirk AG, Tabrizian M (2007) Towards integrated and sensitive surface plasmon resonance biosensors: a review of recent progress. Biosens Bioelectron 23:151–160

    Article  CAS  PubMed  Google Scholar 

  3. 3.

    Abdulhalim I, Zourob M, Lakhtakia A (2008) Surface plasmon resonance for biosensing: a mini review. Electromagnetics 28:214–242

    Article  Google Scholar 

  4. 4.

    Kant R, Tabassum R, Gupta BD (2017) Integrating nanohybrid membranes of reduced graphene oxide: chitosan: silica sol gel with fiber optic SPR for caffeine detection. Nanotechnology 28(19):195502

    Article  CAS  PubMed  Google Scholar 

  5. 5.

    Kant R, Tabassum R, Gupta BD (2018) Xanthine oxidase functionalized Ta2O5 nanostructures as a novel scaffold for highly sensitive SPR based fiber optic xanthine sensor. Biosens Bioelectron 99:637–645

    Article  CAS  PubMed  Google Scholar 

  6. 6.

    Zhang J, Zhang L, Xu W (2012) Surface plasmon polaritons: Physics and applications. J Phys D Appl Phys 45:113001

    Article  CAS  Google Scholar 

  7. 7.

    Shalabney A, Abdulhalim I (2011) Sensitivity-enhancement methods for surface plasmon resonance sensors. Laser Photonics Rev 5(4):571–606

    Article  CAS  Google Scholar 

  8. 8.

    Homola J (2006) Surface plasmon resonance based sensors. Springer, Berlin–Heidelberg

    Book  Google Scholar 

  9. 9.

    Sharma AK, Rajan, Gupta BD (2007) Fiber-optic sensors based on surface plasmon resonance: a comprehensive review. IEEE Sensors J 7:1118–1129

    Article  Google Scholar 

  10. 10.

    Gupta BD, Kant R (2018) Recent advances in surface plasmon resonance based fiber optic chemical and biosensors utilizing bulk and nanostructures. Opt Laser Technol 101:144–161

    Article  CAS  Google Scholar 

  11. 11.

    Shalabney A, Abdulhalim I (2012) Figure-of-merit enhancement of surface plasmon resonance sensors in the spectral interrogation. Opt Lett 37(7):1175–1177

    Article  CAS  PubMed  Google Scholar 

  12. 12.

    Lahav A, Auslender M, Abdulhalim I (2008) Sensitivity enhancement of guided–wave surface–plasmon resonance sensors. Opt Lett 33(21):2539–2541

    Article  CAS  PubMed  Google Scholar 

  13. 13.

    Kant R, Gupta BD (2018) Fiber-optic SPR based acetylcholine biosensor using enzyme functionalized Ta2O5 nanoflakes for Alzheimer’s disease diagnosis. IEEE J Lightwave Technol 36:4018–4024

    Article  CAS  Google Scholar 

  14. 14.

    Divagar M, Gowri A, John S, Sai VVR (2018) Graphene oxide coated U-bent plastic optical fiber based chemical sensor for organic solvents. Sens Actuators B: Chem 262:1006–1012

    Article  CAS  Google Scholar 

  15. 15.

    Xinglong Y, Dingxin W, Zibo Y (2003) Simulation and analysis of surface plasmon resonance biosensor based on phase detection. Sens Actuators B: Chem 91:285–290

    Article  CAS  Google Scholar 

  16. 16.

    Chiang HP, Lin JL, Chen ZW (2006) High sensitivity surface plasmon resonance sensor based on phase interrogation at optimal incident wavelengths. Appl Phys Lett 88:141105

    Article  CAS  Google Scholar 

  17. 17.

    Huang YH, Ho HP, Wu SY, Kong SK (2012) Detecting phase shifts in surface plasmon resonance: a review. Adv Opt Technol 2012:471957

    Article  Google Scholar 

  18. 18.

    Moayyed H, Leite IT, Coelho L, Santos JL, Viegas D (2014) Analysis of phase interrogated SPR fiber optic sensors with bimetallic layers. IEEE. Sensors J 14(10):3662–3668

    Article  Google Scholar 

  19. 19.

    Li YC, Chang YF, Su LC, Chou C (2008) Differential-phase surface plasmon resonance biosensor. Anal Chem 80:5590–5595

    Article  CAS  PubMed  Google Scholar 

  20. 20.

    Watad I, Abdulhalim I (2017) Spectropolarimetric surface plasmon resonance sensor and the selection of the best polarimetric function. IEEE J Select Top Quant Electron 23:4600609

    Article  Google Scholar 

  21. 21.

    Chiang HP, Lin JL, Chang R, Su SY (2005) High-resolution angular measurement using surface-plasmon-resonance via phase interrogation at optimal incident wavelengths. Opt Lett 30:2727–2729

    Article  PubMed  Google Scholar 

  22. 22.

    Moayyed H, Leite IT, Coelho L, Santos JL, Viegas D (2015) Theoretical study of phase-interrogated surface plasmon resonance based on optical fiber sensors with metallic and oxide layers. Plasmonics 10:979–987

    Article  CAS  Google Scholar 

  23. 23.

    Twu R, Hsueh C (2017) Phase interrogation birefringent-refraction sensor for refractive index variation measurements. Sens Actuators A: Phys 253:85–90

    Article  CAS  Google Scholar 

  24. 24.

    Chung H, Chen C, Wu PC, Tseng ML, Lin W, Chen C, Chiang H (2014) Enhanced sensitivity of surface plasmon resonance phase-interrogation biosensor by using oblique deposited silver nanorods. Nanoscale Res Lett 9:476

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Ezhilvalavan S, Tseng TY (1999) Preparation and properties of tantalum pentoxide (Ta2O5) thin films for ultra large scale integrated circuits (ULSIs) application: a review. J Mater Sci Mater Electron 10:9–31

    Article  CAS  Google Scholar 

  26. 26.

    Bright TJ, Watjen JI, Zhang ZM, Muratore C, Voevodin AA, Koukis DI, Tanner DB, Arenas DJ (2013) Infrared optical properties of amorphous and nanocrystalline Ta2O5 thin films. J Appl Phys 114:083515

    Article  CAS  Google Scholar 

  27. 27.

    Li D, Kaner RB (2008) Graphene-based materials. Science 320:1170–1171

    Article  CAS  PubMed  Google Scholar 

  28. 28.

    Zhu Y, Murali S, Cai W, Li X, Suk JW, Potts JR, Ruof RS (2010) Graphene and graphene oxide: synthesis, properties, and applications. Adv Mater 22:3906–3924

    Article  CAS  PubMed  Google Scholar 

  29. 29.

    Song B, Li D, Qi WP, Elstner M, Fan CH, Fang HP (2010) Graphene on Au(111): a highly conductive material with excellent adsorption properties for high-resolution bio/nanodetection and identification. Chem Phys Chem 11:585–589

    Article  CAS  PubMed  Google Scholar 

  30. 30.

    Gupta BD, Sharma AK (2005) Sensitivity evaluation of a multi-layered surface plasmon resonance-based fiber optic sensor: a theoretical study. Sens Actuators B: Chem 107:40–46

    Article  CAS  Google Scholar 

  31. 31.

    Verma RK, Gupta BD (2010) Surface plasmon resonance based fiber optic sensor for the IR region using a conducting metal oxide film. J Opt Soc Am A 27:846–851

    Article  CAS  Google Scholar 

  32. 32.

    Ghatak AK, Thygarajan K (1998) Introduction to fiber optics. Cambridge University Press, U.K.

    Book  Google Scholar 

  33. 33.

    Bruna M, Borini S (2009) Optical constants of graphene layers in the visible range. Appl Phys Lett 94:031901

    Article  CAS  Google Scholar 

  34. 34.

    Born M, Wolf E (1999) Principles of optics. Press, Cambridge University

    Book  Google Scholar 

  35. 35.

    Gupta BD, Singh CD (1994) Fiber-optic evanescent field absorption sensor: a theoretical evaluation. Fiber Integr Opt 13:433–443

    Article  Google Scholar 

  36. 36.

    Moayyed H, Leite IT, Coelho L, Santos JL, Viegas D (2016) Analysis of a plasmonic based optical fiber optrode with phase interrogation. Photon Sens 6:221–233

    Article  CAS  Google Scholar 

  37. 37.

    Shalabney A, Abdulhalim I (2010) Electromagnetic fields distribution in multilayer thin film structures and the origin of sensitivity enhancement in surface plasmon resonance sensors. Sens Actuators A 159:24–32

    Article  CAS  Google Scholar 

Download references

Funding

Ravi Kant received a research fellowship from the Council of Scientific and Industrial Research (CSIR), New Delhi, India (File No.: 09/086(1205)/2014-EMR-I). Rana Tabassum received support from the INSPIRE faculty scheme of Department of Science and Technology (DST), Government of India (IFA-17ENG2017).

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Correspondence to Ravi Kant.

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Kant, R., Tabassum, R. Mechanistic Modeling for Performance Engineering of SPR-Based Fiber-Optic Sensor Employing Ta2O5 and Graphene Multilayers in Phase Interrogation Scheme. Plasmonics 15, 647–659 (2020). https://doi.org/10.1007/s11468-019-01065-x

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Keywords

  • Phase interrogation scheme
  • Fiber optics
  • Ta2O5
  • Graphene
  • Phase sensitivity