journal article·2021-02

Numerical Modeling of an Integrable and Tunable Plasmonic Pressure Sensor with Nanostructure Grating

Morteza Mansouri, Ali Mir, Ali Farmani, Mohsen Izadi

Plasmonics· Volume 16· Issue 1
Publisher page

Abstract

Plasmonic pressure sensors play a major role in advanced applications due to their unique properties including their small footprint and high sensitivity. The design of sensors with a wide pressure range and high sensitivity, especially at low pressure (0–5 KPa), is in high demand. To this end, here, a tunable, ultra-sensitive and wide-range plasmonic pressure sensor based on nanostructure gratings is proposed. We present a numerical method for designing a pressure sensor based on surface plasmon resonance (SPR) that can adjust the coupling state by varying the surface of the metal grating. The design is based on grating coupling changes according to the pressure applied. We used grating coupling for phase matching between light and surface plasmon polaritons (SPP). The light reflection output from the grating surface is proportional to the input pressure, where we illustrate that the SPR pairing state can be controlled by varying the grating pitch by changes in pressure applied to the diaphragm. In our numerical simulation, we consider solid deformation and transmission or reflection of light using the finite-difference time-domain (FDTD) and finite element method (FEM) to simulate the optical and mechanical properties, respectively. The many advantages of the proposed sensor include nanoscale, integrability, tunability, low power, low cost and wide pressure range. This sensor is capable of detecting pressure in the range of 0–1 kPa.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Plasmonic and Surface Plasmon Research · Photonic and Optical Devices · Advanced Fiber Optic Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (51)

Show source-provided references
1. Cuennet J, Vasdekis A, De Sio L, Psaltis DJNP (2011) Optofluidic modulator based on peristaltic nematogen microflows. 5 (4):23410.1038/nphoton.2011.18 ↗
2. Levy U, Shamai RJM, nanofluidics (2008) Tunable optofluidic devices. 4(1–2):97–10510.1007/s10404-007-0216-x ↗
3. Mozaffari MH, Farmani A (2019) On-chip single-mode optofluidic microresonator dye laser sensor. IEEE Sensors J10.1109/JSEN.2019.2962727 ↗
4. Han B et al (eds) (2020) Nanosensors for Smart Cities. Elsevier
5. Farmani H, Farmani A, Biglari Z (2020) A label-free graphene-based nanosensor using surface plasmon resonance for biomaterials detection. Physica E: Low-Dimension Syst Nanostruct 116:11373010.1016/j.physe.2019.113730 ↗
6. Farmani A et al (2020) Optical nanosensors for cancer and virus detections. Nanosensors for Smart Cities. Elsevier. 419–43210.1016/B978-0-12-819870-4.00024-4 ↗
7. Farmani A, Mir A (2020) Nanosensors for street-lighting system. Nanosensors for Smart Cities Elsevier 209–22510.1016/B978-0-12-819870-4.00012-8 ↗
8. Hamzavi-Zarghani Z, Yahaghi A, Matekovits L, Farmani A (2019) Tunable mantle cloaking utilizing graphene metasurface for terahertz sensing applications. Opt Express 27(24):34824–3483710.1364/OE.27.034824 ↗
9. Amoosoltani N, Zarifkar A, Farmani A (2019) Particle swarm optimization and finite-difference time-domain (PSO/FDTD) algorithms for a surface plasmon resonance-based gas sensor. J Comput Electron 18(4):1354–136410.1007/s10825-019-01391-7 ↗
10. Ghodrati M, Farmani A, Mir A (2019) Nanoscale sensor-based tunneling carbon nanotube transistor for toxic gases detection: a first-principle study. IEEE Sensors J 19(17):7373–737710.1109/JSEN.2019.2916850 ↗
11. Erickson D, Mandal S, Yang AH, Cordovez BJM, and nanofluidics (2008) Nanobiosensors: optofluidic, electrical and mechanical approaches to biomolecular detection at the nanoscale. 4(1–2):33–5210.1007/s10404-007-0198-8 ↗
12. Monat C, Domachuk P, Eggleton BJNp (2007) Integrated optofluidics: A new river of light. 1(2):10610.1038/nphoton.2006.96 ↗
13. Li Z, Psaltis DJM, Nanofluidics (2008) Optofluidic dye lasers. 4(1–2):145–15810.1007/s10404-007-0225-9 ↗
14. Harazim SM, Quiñones VAB, Kiravittaya S, Sanchez S, O. G. J. L. o. a. C. Schmidt (2012) Lab-in-a-tube: on-chip integration of glass optofluidic ring resonators for label-free sensing applications. 12(15):2649–265510.1039/c2lc40275k ↗
15. Nguyen N-TJB (2010) Micro-optofluidic lenses: a review. 4(3):031501
16. Chen Q, Jian A, Li Z, Zhang XJLoaC (2016) Optofluidic tunable lenses using laser-induced thermal gradient. 16(1):104–11110.1039/C5LC01163A ↗
17. Mansuori M, Zareei G, Hashemi HJAo (2015) Reconfigurable optofluidic switch for generation of optical pulse width modulation based on tunable reflective interface. 54(28):E63-E6810.1364/AO.54.000E63 ↗
18. Xu P, Wan J, Zhang S, Duan Y, Chen B, Zhang SJAO (2019) 2× 2 optofluidic switch chip with an air shutter. 58(17):4637–464110.1364/AO.58.004637 ↗
19. Rudin M and Weissleder RJNrDd (2003) Molecular imaging in drug discovery and development. 2(2):12310.1038/nrd1007 ↗
20. Erickson D, Sinton D, Psaltis DJNP (2011) Optofluidics for energy applications. 5(10):58310.1038/nphoton.2011.209 ↗
21. Wang W-C, Ledoux WR, Sangeorzan BJ, Reinhall PGJJoRR, Development (2005) A shear and plantar pressure sensor based on fiber-optic bend loss. 42(3)10.1682/JRRD.2004.07.0076 ↗
22. Chan M, Lawless J, Lam S, Lo DJAca (2000) Fiber optic oxygen sensor based on phosphorescence quenching of erythrosin B trapped in silica-gel glasses. 408(1–2):33–3710.1016/S0003-2670(99)00849-1 ↗
23. Escudero P, Yeste J, Pascual-Izarra C, Villa R, Alvarez MJSr (2019) Color tunable pressure sensors based on polymer nanostructured membranes for optofluidic applications. 9(1):325910.1038/s41598-019-40267-5 ↗
24. Ebnali-Heidari M, Mansouri M, Mokhtarian S, Moravvej-Farshi MKJAo (2012) Design and numerical simulation of an optofluidic pressure sensor. 51(16):3387–339610.1364/AO.51.003387 ↗
25. Bariain C et al (2003) Optical fiber sensor based on lutetium bisphthalocyanine for the detection of gases using standard telecommunication wavelengths. 93(1–3):153–15810.1016/S0925-4005(03)00204-1 ↗
26. Farmani A, Zarifkar A, Sheikhi MH, Miri MJS, Microstructures (2017) Design of a tunable graphene plasmonic-on-white graphene switch at infrared range. 112:404–41410.1016/j.spmi.2017.09.051 ↗
27. Homola J, Piliarik M (2006) Surface plasmon resonance (SPR) sensors in Surface plasmon resonance based sensors: Springer, pp 45–6710.1007/5346_014 ↗
28. Ctyroky J, Homola J, Skalsky MJEL (1997) Tuning of spectral operation range of a waveguide surface plasmon resonance sensor. 33(14):1246–124810.1049/el:19970814 ↗
29. Alipour A, Farmani A, Mir A (2018) High sensitivity and tunable nanoscale sensor based on plasmon-induced transparency in plasmonic metasurface. 18(17):7047–705410.1109/JSEN.2018.2854882 ↗
30. Haes AJ, Van Duyne RPJJotACS (2002) A nanoscale optical biosensor: sensitivity and selectivity of an approach based on the localized surface plasmon resonance spectroscopy of triangular silver nanoparticles. 124(35):10596–10604
31. Dhawan A, Muth JFJN (2006) Plasmon resonances of gold nanoparticles incorporated inside an optical fibre matrix. 17(10):250410.1088/0957-4484/17/10/011 ↗
32. Farmani A, Miri M, Sheikhi MH (2017) Analytical modeling of highly tunable giant lateral shift in total reflection of light beams from a graphene containing structure. 391:68–7610.1016/j.optcom.2017.01.018 ↗
33. Nejad HE, Mir A, Farmani A (2019) Supersensitive and tunable nano-biosensor for cancer detection. 19(13):4874–4881
34. Otto A, Mrozek I, Grabhorn H, Akemann WJJoPCM (1992) Surface-enhanced Raman scattering. 4(5):114310.1088/0953-8984/4/5/001 ↗
35. Vo-Dinh TJTTiAC (1998) Surface-enhanced Raman spectroscopy using metallic nanostructures. 17(8–9):557–582
36. Kneipp K, Moskovits M, Kneipp H (2006) Surface-enhanced Raman scattering: physics and applications. Springer Science & Business Media10.1007/3-540-33567-6 ↗
37. Farmani A, Mir A (2019) Graphene sensor based on surface plasmon resonance for optical scanning. 31(8):643–64610.1109/LPT.2019.2904618 ↗
38. Jorgenson R, Yee SJS, Chemical AB (1993) A fiber-optic chemical sensor based on surface plasmon resonance. 12(3):213–22010.1016/0925-4005(93)80021-3 ↗
39. Homola J, Yee SS, Gauglitz GJS, Chemical AB (1999) Surface plasmon resonance sensors. 54(1–2):3–15
40. Maier SA (2007) Plasmonics: fundamentals and applications. Springer Science & Business Media10.1007/0-387-37825-1 ↗
41. Reddy JNJNY (1993) An introduction to the finite element method. 27
42. Wu J, Lang P, Chen X, Zhang RJJoMO (2016) A novel optical pressure sensor based on surface plasmon polariton resonator. 63(3):219–22310.1080/09500340.2015.1073806 ↗
43. Sabarinathan J, Bakhtazad A, Poulsen B, Zylstra M (2015) Photonic crystal thin-film micro-pressure sensors. J Phys: Conference Series 619(1):012020 IOP Publishing
44. Chen S-H, Shih Y-H, Li Y-R, Wei P-K, Yu C-F, Huang C-Y (2019) Polymer LEDs with improved efficacy via periodic nanostructure-based aluminum. Opt Lett 44(17):4327–433010.1364/OL.44.004327 ↗
45. Lee K-L et al (2017) Highly sensitive aluminum-based biosensors using tailorable Fano resonances in capped nanostructures. Scientific Reports 7:4410410.1038/srep44104 ↗
46. Alipour A, Ali Farmani, Ali Mir (2020) SiO 2–silver Metasurface architectures for ultrasensitive and tunable Plasmonic biosensing. Plasmonics 1–8
47. Amoosoltani N et al (2020) A plasmonic nano-biosensor based on two consecutive disk resonators and unidirectional reflectionless propagation effect. IEEE Sensors J10.1109/JSEN.2020.2987319 ↗
48. Moradian F et al (2020) A multimode graphene plasmonic perfect absorber at terahertz frequencies. Physica E: Low-dimen Syst Nanostruct 11415910.1016/j.physe.2020.114159 ↗
49. Moradiani F et al (2020) Systematic engineering of a nanostructure plasmonic sensing platform for ultrasensitive biomaterial detection. Opt Commun 12617810.1016/j.optcom.2020.126178 ↗
50. Sadeghi T et al (2019) Improving the performance of nanostructure multifunctional graphene plasmonic logic gates utilizing coupled-mode theory. Appl Phys B 125(10):18910.1007/s00340-019-7305-x ↗
51. Farmani A, Mir A, Sharifpour Z (2018) Broadly tunable and bidirectional terahertz graphene plasmonic switch based on enhanced Goos-Hänchen effect. Appl Surf Sci 453:358–36410.1016/j.apsusc.2018.05.092 ↗