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. 2022 Oct 27;12(21):3784.
doi: 10.3390/nano12213784.

A Nano Refractive Index Sensing Structure for Monitoring Hemoglobin Concentration in Human Body

Affiliations

A Nano Refractive Index Sensing Structure for Monitoring Hemoglobin Concentration in Human Body

Guoquan Zhou et al. Nanomaterials (Basel). .

Abstract

This paper proposes a nanosensor structure consisting of a metal-insulator-metal (MIM) waveguide with a rectangular root and a double-ring (SRRDR) with a rectangular cavity. In this paper, the cause and internal mechanism of Fano resonance are investigated by the finite element method (FEM), and the transport characteristics are optimized by changing various parameters of the structure. The results show that the structure can achieve double Fano resonance. Due to the destructive disturbance between the wideband mode of the inverted rectangle on the bus waveguide and the narrowband mode of the SRRDR, the output spectrum of the system shows an obvious asymmetric Fano diagram, and the structural parameters of the sensor have a great influence on the Fano resonance. By changing the sensitive parameters, the optimal sensitivity of the refractive index nanosensor is 2280 nm/RIU, and the coefficient of excellence (FOM) is 76.7. In addition, the proposed high-sensitivity nanosensor will be used to detect hemoglobin concentration in blood, which has positive applications for biosensors and has great potential for future nanosensing and optical integration systems.

Keywords: Fano resonance; detect the concentration of hemoglobin in blood; electrolyte concentration measurement; nanosensor.

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Conflict of interest statement

The authors declare no conflict of the interest.

Figures

Figure 1
Figure 1
2D structural diagram.
Figure 2
Figure 2
3D structural diagram.
Figure 3
Figure 3
Single SRRDR.
Figure 4
Figure 4
Single stub.
Figure 5
Figure 5
Schematic of projection spectrum.
Figure 6
Figure 6
(a) Transmission spectrum of g variation; (b) the sensitivity of n changes to fit the line.
Figure 7
Figure 7
(a) Transmission spectrum of R variation; (b) the sensitivity of R changes to fit the line.
Figure 8
Figure 8
(a) Transmission spectrum of g variation; (b) the sensitivity of L changes to fit the line.
Figure 9
Figure 9
(a) Transmission spectrum of g variation; (b) the sensitivity of d changes to fit the line.
Figure 10
Figure 10
(a) Transmission spectrum of g variation; (b) trends in FWHM.
Figure 11
Figure 11
(a) Transmission spectrum of h variation; (b) trends in FWHM.
Figure 12
Figure 12
The transmission spectrum of different blood types.
Figure 13
Figure 13
(a) Transmission spectrum of alcohol sensing; (b) fitting straight lines for alcohol sensing.

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