Surface plasmon resonance

Photonic-crystal fiber

Physics

Internal medicine

Finite element method

Resonance (particle physics)

Cell

Biosensor

Nanotechnology

Cancer detection

Photonic crystal

Particle physics

Plasmon

Optics

Cancer

Surface plasmon

Nanoparticle

Chemistry

Materials science

HeLa

Refractive index

Optoelectronics

Biochemistry

Wavelength

Medicine

Thermodynamics

Plasmonics

In this study, early cancer detection of a single living cell is investigated by employing a surface plasmon resonance (SPR)-based photonic crystal fiber (PCF) biosensor structure. The full-vectorial finite element method (FV-FEM) with perfectly matched layers are engaged for numerical analysis. The spectral interrogation and amplitude methods are used to detect the refractive index (RI) variations of cancer cells. The refractive index (RI) varied from 1.392 to 1.401 for six different types of cancerous cells. Obtained numerical results have indicated that, the highest sensitivities for spectral interrogation and amplitude methods are reported as 7142.86nm/RIU for MCF-7, and $$-757 RIU^{- 1}$$ - 757 R I U - 1 for Hela cell, respectively.

Cancer Detection with Surface Plasmon Resonance-Based Photonic Crystal Fiber Biosensor