Evidence map›Paper›PMID 39869572›Full record

ArticlePloS one2025

Optimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring.

Diponkar Kundu, Nasir Uddin Badhon, A H M Iftekharul Ferdous, Md Safiul Islam, Md Galib Hasan, Khalid Sifulla Noor, Most Momtahina Bani

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Diponkar KunduDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Nasir Uddin BadhonDepartment 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
Md Safiul IslamDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Md Galib HasanDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Khalid Sifulla NoorDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Most Momtahina BaniDepartment 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

Waterborne bacteria pose a serious hazard to human health, hence a precise detection method is required to identify them. A photonic crystal fiber sensor that takes into account the dangers of aquatic bacteria has been suggested, and its optical characteristics in the THz range have been quantitatively assessed. The PCF sensor was designed and examined as computed in Comsol Multiphysics, a program in which uses the method of "Finite Element Method" (FEM). At 3.2 THz operating frequency, the proposed sensor performs better than the others in all tested cases, with a high sensitivity of 96.78% for Vibrio cholera, 97.54% for E. coli, and 97.40% for Bacillus anthracis. It also has a very low CL of 2.095 × 10-13 dB/cm for Vibrio cholera, 4.411 × 10-11 dB/cm for E. coli, and 1.355 × 10-11 dB/cm for Bacillus anthracis. The existing architecture has the potential to produce the sensor efficiently and scalable, opening the door for commercial applications. The innovation is in the optimization of structural parameters to increase the fiber's sensitivity to bacterial presence, thereby improving the interaction between terahertz waves and bacterial cells. It targets bacterial macromolecule absorption peaks to increase sensitivity. Localized field augmentation, which concentrates THz vibrations where bacteria interact more, may arise from optimization. By improving scattering, structural alterations can help identify bacteria by their characteristic scattering patterns. These improvements improve the sensor's trace bacteria detection. These factors increase the sensor's aquatic germ detection when combined. In aqueous environments, this results in a more precise and efficient detection, which could facilitate the real-time monitoring of bacterial contamination. Public health and water quality control may be significantly affected by these developments.

Indexed as

Bacillus anthracisEnvironmental MonitoringWater MicrobiologyWater QualityEscherichia coliVibrio cholerae

Identifiers

PMID39869572
PMCPMC11771926

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Registered trials

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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.