Computational Study of Sensitivity Enhancement in Surface Plasmon Resonance (SPR) Biosensors by Using the Inclusion of the Core-Shell for Biomaterial Sample Detection

Biosensors (Basel). 2018 Aug 7;8(3):75. doi: 10.3390/bios8030075.

Abstract

A theoretical analysis and computational study of biomaterial sample detection with surface plasmon resonance (SPR) phenomenon spectroscopy are presented in this work with the objective of achieving more sensitive detection. In this paper, a Fe₃O₄@Au core-shell, a nanocomposite spherical nanoparticle consisting of a spherical Fe₃O₄ core covered by an Au shell, was used as an active material for biomaterial sample detection, such as for blood plasma, haemoglobin (Hb) cytoplasm and lecithin, with a wavelength of 632.8 nm. We present the detection amplification technique through an attenuated total reflection (ATR) spectrum in the Kretschmann configuration. The system consists of a four-layer material, i.e., prism/Ag/Fe₃O₄@Au + biomaterial sample/air. The effective permittivity determination of the core-shell nanoparticle (Fe₃O₄@Au) and the composite (Fe₃O₄@Au + biomaterial sample) was done by applying the effective medium theory approximation, and the calculation of the reflectivity was carried out by varying the size of the core-shell, volume fraction and biomaterial sample. In this model, the refractive index (RI) of the BK7 prism is 1.51; the RI of the Ag thin film is 0.13455 + 3.98651i with a thickness of 40 nm; and the RI of the composite is varied depending on the size of the nanoparticle core-shell and the RI of the biomaterial samples. Our results show that by varying the sizes of the core-shell, volume fraction and the RIs of the biomaterial samples, the dip in the reflectivity (ATR) spectrum is shifted to the larger angle of incident light, and the addition of a core-shell in the conventional SPR-based biosensor leads to the enhancement of the SPR biosensor sensitivity. For a core-shell with a radius a = 2.5 nm, the sensitivity increased by 10% for blood plasma detection, 47.72% for Hb cytoplasm detection and by 22.08% for lecithin detection compared to the sensitivity of the conventional SPR-based biosensor without core-shell addition.

Keywords: Fe3O4@Au core-shell; SPR-based biosensors; biomaterial detection; computational study.

MeSH terms

  • Biosensing Techniques / methods*
  • Computer Simulation
  • Gold / chemistry
  • Hemoglobins / analysis*
  • Iron / chemistry
  • Lecithins / analysis*
  • Metal Nanoparticles / chemistry
  • Surface Plasmon Resonance / methods*

Substances

  • Hemoglobins
  • Lecithins
  • Gold
  • Iron