PCF Based Formalin Detection by Exploring the Optical Properties in THz Regime

Author(s): Abdullah A.M. Bulbul*, Rayhan H. Jibon, Sumon K. Das, Tonmoy Roy, Avijit Saha, Mohammad B. Hossain

Journal Name: Nanoscience & Nanotechnology-Asia

Volume 11 , Issue 3 , 2021

Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Introduction: Ongoing amelioration of semiconductor nano-crystal in chemical sensing applications has led the Photonic Crystal Fiber (PCF) as the most appropriate candidate for chemical sensing. A PCF based sensor model has been proposed in this paper.

Objective: The aim of this model is to detect formalin at a high level of sensitivity.

Methods: This sensor model has been designed and simulated in COMSOL multiphysics to analyze the sensing performance based on the optical parameters such as relative sensitivity, confinement loss, and effective material loss. Formalin solution is placed into the core, and then the simulation is performed in the THz regime ranging from 1 to 2 THz to carry out the optical properties. Simulation data collected from COMSOL are used in Matlab to carry out the graphical representation of the optical parameters.

Results: Simulation results demonstrate that the sensor model inherits high relative sensitivity of approximately 77.71% at 1.8 THz. In addition to that, the proposed sensor exhibits zero confinement loss above 1.3 THz and very low effective material loss in the THz regime for the optimum model.

Conclusion: All the optical parameters maintain standard and desirable values in the THz regime. Besides, the flexible fabrication of the proposed model is feasible using existing fabrication methods. Simulation results validate the high performance of this proposed model in formalin detection.

Keywords: Confinement loss, formalin detection, PCF based detection, relative sensitivity, EML, optical properties.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2021
Published on: 25 May, 2020
Page: [314 - 321]
Pages: 8
DOI: 10.2174/2210681210999200525171303
Price: $25

Article Metrics

PDF: 7