Evidence map›Paper›PMID 40138363›Full record

ArticlePloS one2025

Terahertz spectrum-based refractive index sensor for brain lesion detection using photonic crystal fibers.

Md Naimur Rahman Naim, Jabin Tasnin Upoma, A H M Iftekharul Ferdous, Kayab Khandakar, Md Golam Sadeque, Md Sohel Rana

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Md Naimur Rahman NaimDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Jabin Tasnin UpomaDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
A H M Iftekharul FerdousDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.ORCID 0009-0007-3271-8630
Kayab KhandakarDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Md Golam SadequeDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Md Sohel RanaDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous types of brain lesions, cancers, and tumors are still thought to be lethal. An accurate photonic-based biological sensor that is capable of differentiate between normal and pathological brain tissues is presented in this work. Here, we use the defective two-dimensional photonic crystal to theoretically investigate the brain lesion detection. By monitoring the red shift of the wavelength of resonance that occurs as the layer of cerebral lesions' RI (Refractive Index) shifts from 1.38 to 1.4591, the device's execution is confirmed. The outcomes of the simulation using the proposed detector architecture yield very high relative sensitivity values of 98.54%, 98.84%, 99.049% and 97.075%; low EML values of 0.00359 cm-1, 0.00323 cm-1, 0.00297 cm-1, 0.00533 cm-1 for Low Grade Glioma, Glio-blastoma, Lymphoma and Normal brain cell, respectively, at a 2.2 THz frequency regime. Furthermore, the simulation results for each of the cancer cases stated point to a remarkably minimal CL (Confinement Loss) of 6.315 ×  10-15 dB/cm. Through its ability to sense even minute fluctuations in RI, our planned sensor facilitates the identification of tumor at low concentrations. Because of its rapid reflexes, it can monitor the quantities of Low Grade Glioma, Glio-blastoma, Lymphoma and Normal brain cell instantly, which is essential to act rapidly in dangerous situations. In general, the efficacy, accuracy, and versatility of newly developed PCF sensors make them valuable tools for the reliable detection of Low Grade Glioma, Glio-blastoma, Lymphoma and Normal brain cell in a range of contexts, enhancing safety and surveillance protocols.

Indexed as

BrainBrain NeoplasmsGliomaRefractometryTerahertz SpectroscopyHumansPhotons

Identifiers

PMID40138363
PMCPMC11940488

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.