Abstract
In this work, a photonic crystal fiber (PCF) based surface plasmon resonance (SPR) biosensor designed to detect two types of breast cancer; MDA-MB-231 and MCF-7. The Full vectorial Finite Element Method (FV-FEM) with perfectly matched layers are used for numerical analyzes. The spectral interrogation method (SIM) is used to detect the refractive index (RI) variations of breast cancer cells. Also, the bending property of PCF is used to enhance the sensitivity performance. According to numerical results, the highest sensitivity results were obtained as 4500 nm/RIU for MDA-MB-231 and 4643 nm/RIU for MCF-7.
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References
Liu, P.Y., et al.: Cell refractive index for cell biology and disease diagnosis: past, present and future. Lab Chip 16(4), 634–644 (2016)
Barer, R.: Refractometry and interferometry of living cells. JOSA 47(6), 545–556 (1957)
Beuthan, J., Minet, O., Helfmann, J., Herrig, M., Müller, G.: The spatial variation of the refractive index in biological cells. Phys. Med. Biol. 41(3), 369 (1996)
Rappaz, B., Marquet, P., Cuche, E., Emery, Y., Depeursinge, C., Magistretti, P.J.: Measurement of the integral refractive index and dynamic cell morphometry of living cells with digital holographic microscopy. Opt. Express 13(23), 9361–9373 (2005)
Yoon, J., Kim, K., Park, H., Choi, C., Jang, S., Park, Y.: Label-free characterization of white blood cells by measuring 3D refractive index maps. Biomed. Opt. Express 6(10), 3865–3875 (2015)
Ademgil, H., Haxha, S.: PCF based sensor with high sensitivity, high birefringence and low confinement losses for liquid analyte sensing applications. Sensors 15(12), 31 833–831, 842 (2015)
Yasli, A., Ademgil, H.: Multianalyte sensing analysis with multilayer photonic crystal fiber-based surface plasmon resonance sensor. Mod. Phys. Lett. B 34(33), 2050375 (2020)
Islam, M.R., et al.: Surface plasmon resonance based highly sensitive gold coated PCF biosensor. Appl. Phys. A 127(2), 1–12 (2021)
Aly, A.H., Zaky, Z.A.: Ultra-sensitive photonic crystal cancer cells sensor with a high-quality factor. Cryogenics 104, 102991 (2019)
Jabin, M.A., et al.: Surface plasmon resonance based titanium coated biosensor for cancer cell detection. IEEE Photonics J. 11(4), 1–10 (2019)
Mishra, G.P., Kumar, D., Chaudhary, V.S., Murmu, G.: Cancer cell detection by a heart-shaped dual-core photonic crystal fiber sensor. Appl. Opt. 59(33), 10321–10329 (2020)
Shevchenko, Y.Y., Albert, J.: Plasmon resonances in gold-coated tilted fiber Bragg gratings. Opt. Lett. 32(3), 211–213 (2007)
Otupiri, R., Akowuah, E.K., Haxha, S., Ademgil, H., AbdelMalek, F., Aggoun, A.: A novel birefrigent photonic crystal fiber surface plasmon resonance biosensor. IEEE Photonics J. 6(4), 1–11 (2014)
Ya¸sli, A., Ademgil, H., Haxha, S.: D-shaped photonic crystal fiber based surface plasmon resonance sensor. In: 2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1–4. IEEE (2018)
Vu, N.H., Hwang, I.-K., Lee, Y.-H.: Bending loss analyses of photonic crystal fibers based on the finite-difference time-domain method. Opt. Lett. 33(2), 119 (2008)
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Yasli, A. (2022). Photonic Crystal Fiber-Based Surface Plasmon Biosensor for Breast Cancer Detection. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_108
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