Development and Enhancement of PCF-based Sensors for Terahertz-frequency Region Breast Cancer Cell Detection.

Autor: Ferdous AHMI; Department of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh. digonto_eee3@yahoo.com., Rani L; Department of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh., Islam MS; Department of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh., Noor KS; Department of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh., Roy S; Department of Mechatronics, Khulna University of Engineering and Technology, Khulna, 9203, Khulna, Bangladesh., Eid MMA; Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia., Rashed ANZ; Electronics and Electrical Communications Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menoufia, 32951, Egypt.; Department of VLSI Microelectronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Saveetha University, Chennai, Tamilnadu, India.
Jazyk: angličtina
Zdroj: Cell biochemistry and biophysics [Cell Biochem Biophys] 2024 Sep; Vol. 82 (3), pp. 2837-2852. Date of Electronic Publication: 2024 Jul 09.
DOI: 10.1007/s12013-024-01399-2
Abstrakt: In today's medical research, breast cancer is a severe problem, so it is imperative to develop a reliable and efficient approach for identifying cancerous breast cells. PCF, with its exceptional sense-making abilities, simplifies and distinguishes that procedure. The research presents a unique structural hybrid PCF for detecting breast cancer cells using sensors based on PCF that are specifically built for the terahertz-frequency range. The improvement in sensor sensitivity and specificity in identifying cancer cells at these frequencies is a notable progress compared to conventional approaches, which could potentially result in earlier and more precise diagnosis. In our analysis, we discovered the most common malignancies in breast cancer. We investigate the features of the cancerous cell detector using the COMSOL-Multiphysics 5.6 software. This PCF detector achieves a Confinement Loss of 4.75 × 10 -12 and 3.42 × 10 -13  dB/m for Type-1 and Type-2 cancer cells, respectively, at 1.2 THz, as well as about 99.946% and 99.969% relative sensitivity. This sensor ensures the highest level of sensitivity for the identification of cancerous breast cells. This sensor's physical architecture is quite straightforward, making it simple to build using current manufacturing techniques. Therefore, it seems that this sensor will pave a new path for identifying and treating cancerous cells.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE