Optical fiber technology, in association with the phenomenon of surface plasmon resonance (SPR), has opened a new gateway for quick, easier, and accurate sensing of various chemical, biochemical, and biological parameters. Continuous efforts can be seen in the direction of increasing the sensitivity of the optical fiber biosensors; thus, many hybrid nanostructured optical fiber biosensors composing different nanomaterials, nanomaterial combinations, and different 2D materials have been proposed in the past few decades. This paper discusses the synthesis, characterization, and applications of nanoparticles to the most favorable noble metal for SPR biosensing, i.e., gold. The gold nanoparticles (AuNPs) were prepared by the Turkevich method, and the optical property of AuNPs was characterized using the UV-visible spectrophotometer and transmission electron microscopy (TEM) technique. In addition, the synthesis, characterization, and application of the oxide form the most explored 2D material, i.e., graphene, are also presented in this paper. The graphene oxide was synthesized using an easier and economical method, i.e., a modified Hummer’s method, and an evaluation of the characteristics has been done by a UV-visible spectrophotometer and TEM results.
With the development of plasmonic optical waveguides, numerous nanostructures based on different materials can be fabricated in a controlled way. While doing reversible computing, reversible logic gates are the necessary requirement to reduce the loss of information with less power consumption. The proposed design of the Feynman logic gate is simulated by a cascading metal-insulator-metal optical waveguide based on Mach–Zehnder interferometers. The footprint of the proposed Feynman logic gate is
62
µ
m
×
9
µ
m
, the extinction ratio is 10.57 dB, and the insertion loss is
−
0.969
d
B
and
−
1.191
d
B
, which is much better compared to an electro-optic-based exiting Feynman logic gate. The results are obtained by simulating the proposed structure using the finite difference time domain method and verified by using mathematical computation in MATLAB.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.