Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Enhancing the sensing behavior of a reduced graphene magnetite-based plasmonic optical fiber sensor

Not Accessible

Your library or personal account may give you access

Abstract

The D-shaped optical fiber is a base for the magnetite-based graphene nanocomposite (${\rm rGO}/{{\rm Fe}_3}{{\rm O}_4}$) for a Pb heavy metal sensing layer. The designed sensor was studied under the effects of rapid annealing, water circulation, and plasmonic tuning. Various annealing temperatures (100°C, 200°C, 300°C, and 400°C) were investigated. The effect of rapid thermal annealing (RTA) temperature on the transmission results were found at a short wavelength of 300 nm and a minimum point of $\sim{380}\;{\rm nm}$. The bandgap energy was verified between 2.3 and 3.17 eV for 100°C and 400°C, respectively. The sensor results show modification toward a short wavelength by increasing the rapid annealing temperature. Compared with furnace methods, the transmittance shift of the plasmonic effect showed the best performance under the influence of RTA. RTA at 300°C and 400°C offered an acceptable degree of stability at the beginning (1–50 min). The best performance of the proposed sensor was improved by introducing a circulating liquid chamber into the initial design. The resonance shifts due to Pb ion concentration (5, 10, and 15 ppm) were studied for transmission and wavelength shifts. The sensor shift was enhanced by using a free space polarizer controller attached to the second design. The results give detection and sensing potential in the visible range at a possible remarkable response time. The figure of merit was 62.5 a.u., and the maximum sensitivity was 1 a.u./ppm by using a polarizer controller. This article presents the optical characterizations of plasmonic sensor-based ${\rm rGO}/{{\rm Fe}_3}{{\rm O}_4}$ for detecting Pb ions and enhancing the resonance shift. RTA for composite material and water circulation associated with D-shaped optical fiber enhances response time and stability designed using a polarizer controller.

© 2022 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Design of a high-performance graphene/SiO2-Ag periodic grating/MoS2 surface plasmon resonance sensor

XiaoLin Liu, Jin Liu, HaiMa Yang, Bo Huang, and GuoHui Zeng
Appl. Opt. 61(23) 6752-6760 (2022)

Numerical and analytical analysis of an ultrahigh sensitive surface plasmon resonance sensor based on a black phosphorene/graphene heterostructure

Abolfazl Nourizad, Saeed Golmohammadi, Mohammad Reza Tohidkia, and Ayuob Aghanejad
Appl. Opt. 62(25) 6542-6552 (2023)

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (17)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (4)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.