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Graphene vs silica coated refractory nitrides based core-shell nanoparticles for
nanoplasmonic sensing
#MMPMID32834765
Singh A
; Shishodia MS
Physica E Low Dimens Syst Nanostruct
2020[Oct]; 124
(?): 114288
PMID32834765
show ga
Plasmonic nanoparticles based on conventional metals like gold (Au) and silver
(Ag) has attracted significant attention of biosensor researchers. Core-shell
nanoparticles (CSNP) have shown specific advantages by virtue of unique
combination of strong field enhancement and wide ranging spectral tuneability of
localized surface plasmon resonances (LSPR). In view of the remarkable plasmonic
properties of refractory nitrides (e.g., ZrN and TiN) like higher degree of
spectral tuneability, growth compatibility, high melting point, inherent CMOS and
biocompatibility etc., and reported high surface area, excellent bio-molecular
compatibility, improvement in the speed, higher sensitivity in graphene, the
present work assess the feasibility of graphene coated refractory nitrides based
CSNP as an efficient refractive index sensor. Mie theory is employed for the
theoretical analysis and simulation of such plasmonic structures. The results
reported in the present work have been corroborated using COMSOL. The comparison
of plasmonic properties and sensing characteristics e.g., FWHM, quality factor,
sensitivity and figure of merit is presented for graphene and silica based
sensors. It is reported that the sensitivity = 171.68 (nm/RIU) and figure of
merit = 3.57 × 10(4) (nm/RIU) can be attained. The present work suggests that
graphene coated refractory nitrides based core-shell structures may emerge as
ultrasensitive biosensor.
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