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

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Biochemistry and Biophysics Pub Date : 2024-07-09 DOI:10.1007/s12013-024-01399-2
A H M Iftekharul Ferdous, Laxmi Rani, Md Safiul Islam, Khalid Sifulla Noor, Sourav Roy, Mahmoud M A Eid, Ahmed Nabih Zaki Rashed
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Abstract

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.

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基于 PCF 的太赫兹频区乳腺癌细胞检测传感器的开发与改进
在当今的医学研究中,乳腺癌是一个严重的问题,因此必须开发出一种可靠、高效的方法来识别癌变的乳腺细胞。PCF 凭借其非凡的感知能力,简化并区分了这一过程。这项研究提出了一种独特的混合结构 PCF,用于使用基于 PCF 的传感器检测乳腺癌细胞,这种传感器是专为太赫兹频率范围而设计的。与传统方法相比,在这些频率下提高传感器识别癌细胞的灵敏度和特异性是一个显著进步,有可能带来更早和更精确的诊断。在分析中,我们发现了乳腺癌中最常见的恶性肿瘤。我们使用 COMSOL-Multiphysics 5.6 软件研究了癌细胞检测器的特征。这种 PCF 检测器在 1.2 太赫兹频率下对 1 型和 2 型癌细胞的封闭损失分别为 4.75 × 10-12 和 3.42 × 10-13 dB/m,相对灵敏度分别为 99.946% 和 99.969%。该传感器确保了识别乳腺癌细胞的最高灵敏度。这种传感器的物理结构非常简单,利用当前的制造技术就能轻松制造。因此,这种传感器似乎将为识别和治疗癌细胞铺平一条新的道路。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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