Abstract:
This paper presents design and analysis of a
self-reference refractive index sensor for precise detection of
different concentrations of H5N1 virus in poultry. The sensor
is basedon the study of Tammplasmonpolariton (TPP)modes
excited between Ti3C2Tx MXene and cavity layer integrated
1D photonic crystal (PhC).We demonstrate the self-reference
characteristics of the sensor, which significantly decreases
the error contributions by the environmental factors like the
light intensity fluctuations and local temperature variations.
The transfer matrix method (TMM) is employed to investigate
the reflectance and absorbance of the sensor. The cornerstone
of this work lies on the assay of the shift in the
wavelength and intensity of the TPP mode vis-à-vis different
concentrations of the H5N1 virus. Numerous structural
parameters like selection ofmaterials, thickness of theMXene
layer, thickness of the cavity layer, and period of the PhC are
judiciously optimized to envisage maximum sensing performance.
The colormap plot of field distribution infers a strong
electric field localization in the cavity layer, which indicates
high absorption of TPP modes. Compared to the traditional
TPP sensor designedwith Ag thin film, the electric field intensity
(EFI) and sensitivity of the proposed MXene-based TPP
sensor have been boosted by 40% and 15.93% respectively.
It is appraised that the proposed sensor delivers a maximum
sensitivity of 60.9375 nm/HAU, quality factor of 5485.71, and
detection limit of 2.6×10−6 RIU. The proposed sensor can find suitable applications in the field of biomedical diagnostics,
healthcare, food safety, and environmental monitoring.
Description:
IEEE SENSORS JOURNAL, VOL. 22, NO. 13, JULY 1, 2022. p. 12719-12727.